BLS NLSY79_R30_Supporting_Statement_Part A_2022

National Longitudinal Survey of Youth 1979

OMB Control Number: 1220-0109

OMB Expiration Date: 8/31/2023

SUPPORTING STATEMENT FOR

National Longitudinal Survey of Youth 1979

OMB CONTROL NO. 1220-0109

This Information Collection Request (ICR) is a revision of a currently approved collection seeking to obtain clearance for the main fielding of Round 30 of the National Longitudinal Survey of Youth 1979 (NLSY79). The sample includes 9,964 persons who were 57 to 64 years old on December 31, 2021. Approximately 12 percent of the sample members are deceased. The NLSY79 is a representative national sample of adults who were born in the years 1957 to 1964 and lived in the U.S. when the survey began in 1979. The sample contains an overrepresentation of black and Hispanic respondents to include a sufficient sample size to permit racial and ethnic analytical comparisons. Appropriate weights have been developed so that the sample components can be combined in a manner to aggregate to the overall U.S. population of the same ages, excluding those who have immigrated since 1978.

This ICR previously included data collection for the children born to female NLSY79 respondents, the NLSY79 Child and Young Adult (NLS79CYA) survey. This information collection will not be performed in conjunction with the main NLSY79 Round 30 fielding. While the arrangement that previously allowed these two surveys to be collected in tandem is no longer practicable, work is ongoing to determine whether and how additional rounds of the NLSY79CYA (now composed solely of young adults) may be collected.

The main NLSY79 is funded primarily by the Bureau of Labor Statistics (BLS). The BLS contracts with Center for Human Resource Research (CHRR) at The Ohio State University and the National Opinion Research Center (NORC) at the University of Chicago to conduct the survey. NORC handles the interviewing, initial data preparation, and weighting. Questionnaire design, additional data cleanup and preparation, development of documentation, and preparation of data files are handled by CHRR.

The data collected in this survey are part of a larger set of surveys in which longitudinal data are gathered for several cohorts in the U.S. In addition to the NLSY79, these include four National Longitudinal Survey Original Cohorts and the National Longitudinal Survey of Youth 1997 (NLSY97). Additionally, the BLS currently is continuing to plan the content and design of a new NLSY cohort by conducting content panels, completing market research for contracts, and implementing other design activities (including sampling, survey, materials, and dissemination. If ongoing funding for a new cohort is available, the initial collection is anticipated in 2026. In recognition of the potential for data users to make cross-cohort comparisons of the collected data, these various cohorts are designed so that many questions asked of a cohort are identical or very similar to those asked of other cohorts. Other questions may differ among cohorts as needed to capture the changing nature of institutions and the different problems facing these groups of people.

1. JUSTIFICATION

1. Explain the circumstances that make the collection of information necessary. Identify any legal or administrative requirements that necessitate the collection. Attach a copy of the appropriate section of each statute and regulation mandating or authorizing the collection of information.

This ICR covers the main fielding of Round 30 of the NLSY79. The NLSY79 is a nationally representative sample of persons who were born in the years 1957 to 1964 and lived in the U.S. when the survey began in 1979. The longitudinal focus of the survey requires the collection of identical information for the same individuals over the life cycle and the occasional introduction of new data elements to meet the ongoing analytical needs of policymakers and researchers. Most of the information to be collected this round has been approved by OMB in previous rounds of the NLSY79. See Attachment 5 for details on changes for this round.

The mission of the Department of Labor (DOL) is, among other things, to promote the development of the U.S. labor force and the efficiency of the U.S. labor market. The BLS contributes to this mission by gathering information about the labor force and labor market and disseminating it to policymakers and to the public so that participants in those markets can make more informed and, thus, more efficient choices. The charge to the BLS to collect data related to the labor force is extremely broad, as reflected in Title 29 U.S.C. Section 1:

“The general design and duties of the Bureau of Labor Statistics shall be to acquire and diffuse among the people of the United States useful information on subjects connected with labor, in the most general and comprehensive sense of that word, and especially upon its relation to capital, the hours of labor, the earnings of laboring men and women, and the means of promoting their material, social, intellectual, and moral prosperity.”

The collection of these data contributes to the BLS mission by aiding in the understanding of labor market outcomes faced by individuals in the early stages of career and family development. See Attachment 1 for Title 29 U.S.C. Sections 1 and 2.

2. Indicate how, by whom, and for what purpose the information is to be used. Except for a new collection, indicate the actual use the agency has made of the information received from the current collection.

Through 1984, the NLSY79 consisted of annual interviews with a national sample of 12,686 young men and women who were ages 14 to 21 as of December 31, 1978, with overrepresentation of blacks, Hispanics, and economically disadvantaged nonblacks/non-Hispanics. The sample also included 1,280 persons serving in the military in 1978. Starting in 1985, the military sample was reduced to 201 due to a cessation of funding from the Department of Defense. Starting in 1991, interviews were discontinued with the 742 male and 901 female members of the economically disadvantaged nonblack/non-Hispanic sample. This reduced the eligible pool of sample members to 9,964. The NLSY79 was conducted annually from 1979 to 1994 and has been conducted every two years since 1994.

In addition to the regular interviews, several supplementary data-collection efforts completed during the early survey years greatly enhance the value of the survey to policymakers and researchers. The full Armed Services Vocational Aptitude Battery (ASVAB) was administered to 94 percent of sample members. Also, for a large proportion of the sample, information has been collected about the characteristics of the last high school each respondent attended, as well as the courses taken, grades, and some other personal characteristics about the respondents while attending high school.

These data-collection efforts have enabled researchers to complete studies of the relationship between background environment, employment behavior, vocational aptitudes, and high school quality. The data have helped the Departments of Labor, Defense, Education, and Health and Human Services and many congressional committees to make more knowledgeable decisions when evaluating the efficacy of programs in the areas of civilian and military employment, training, and health.

The NLSY79 is a general-purpose study designed to serve a variety of policy-related research interests. Its longitudinal design and conceptual framework serve the needs of policymakers in a way that cross-sectional surveys cannot. In addition, the NLSY79 allows a broad spectrum of social scientists concerned with the labor market problems of young baby boomers to pursue their research interests. The increasingly omnibus nature of the survey makes it an efficient, low-cost data set. Historically, the survey has incorporated items needed for program and policy purposes by agencies other than the Department of Labor.

Sample sizes and the expected number of Round 30 respondents are listed in Table 1.

Table 1. NLSY79 Sample Size and Expected Response in 2022 (Round 30)

Cohort	Approximate sample size	Expected number of respondents
NLSY79 main	8,750 (9,964 minus 1,214 deceased sample members)	6,355

The specific objectives of the NLSY79 fall into several major categories that will be further explained below:

1. to explore the labor market activity and family formation of individuals in this age group;

2. to explore in greater depth than previously has been possible the complex economic, social, and psychological factors responsible for variation in the labor market experience (including retirement) of this cohort;

3. to explore how labor market experiences explain the evolution of careers, wealth, and the preparation of this cohort for the further education of their children and for their own retirement;

4. to analyze the impact of a changing socio-economic environment on the labor market experiences of this cohort by comparing data from the present study with those yielded by the surveys of the earlier NLS cohorts of young men (which began in 1966 and ended in 1981) and young women (which began in 1968 and ended in 2003), as well as the more recent NLSY97 cohort of young men and women born in the years 1980-84 and interviewed for the first time in 1997;

5. to consider how intergenerational links between mothers and their children, including the employment-related activities of women affect the subsequent cognitive and emotional development of their children, and how the development of the children affects the activities of the mother; and

6. to meet the data-collection and research needs of various government agencies with an interest in the relationships among child and maternal health, drug and alcohol use, and juvenile deviant behavior and child outcomes such as education, employment, and family experiences and interest in the relationships between health, cognition, and retirement.

The NLSY79 has several characteristics that distinguish it from other data sources and make it uniquely capable of meeting the major purposes described above. The first of these is the breadth and depth of the types of information that are being collected. It has become increasingly evident in recent years that a comprehensive analysis of the dynamics of labor force activity requires an eclectic theoretical framework that draws on several disciplines, particularly economics, sociology, and psychology. For example, the exploration of the determinants and consequences of the labor force behavior and experience of this cohort requires information about (1) the individual’s family background and ongoing demographic experiences; (2) the character of all aspects of the environment with which the individual interacts; (3) human capital inputs such as formal schooling and training; (4) a complete record of the individual’s work experiences; (5) the behaviors, attitudes, and experiences of closely related family members, including spouses and children; and (6) a variety of social-psychological measures, including attitudes toward specific and general work situations, personal feelings about the future, personality characteristics, and perceptions of how much control one has over one’s environment.

A second major advantage of the NLSY79 is its longitudinal design, which permits investigation of labor market dynamics that would not be possible with one-time surveys and allows directions of causation to be established with much greater confidence than cross-sectional analyses. Also, the considerable geographic and environmental information available for each respondent for each survey year permits a more careful examination of the impact that area employment and unemployment considerations have for altering the employment, education, and family experiences of these cohort members and their families.

Third, the oversampling of blacks and Hispanics, together with the other two advantages mentioned above, makes possible more sophisticated examinations of human capital creation programs than previously have been possible. Post-program experiences of “treatment” groups can be compared with those of groups matched not only for preprogram experience and such conventional measures as educational attainment, but also for psychological characteristics that have rarely been available in previous studies.

As has been indicated above, the study has several general research and policy-related objectives.

Attachment 3- Survey Applications

Elaborates on these basic purposes by setting forth a series of specific research themes.

Attachment 4- Analysis of Content of Interview Schedules

Relates the detailed content of the interview schedule to the themes from Attachment 3.

Attachment 5- New Questions and Lines of Inquiry

Summarizes the new questions and lines of inquiry in the proposed questionnaire.

Attachment 6- Respondent Advance Letters

Provides the advance letters that will be sent to respondents prior to data collection and the questions and answers about uses of the data, confidentiality, and burden that will appear on the back of each advance letter.

The NLSY79 is part of a broader group of surveys that are known as the BLS National Longitudinal Surveys (NLS) program. In 1966, the first interviews were administered to persons representing two cohorts, Older Men ages 45-59 in 1966 and Young Men ages 14-24 in 1966. The sample of Mature Women ages 30-44 in 1967 was first interviewed in 1967. The last of the original four cohorts was the Young Women, who were ages 14-24 when first interviewed in 1968. The survey of Young Men was discontinued after the 1981 interview, and the last survey of the Older Men was conducted in 1990. The Young and Mature Women surveys were discontinued after the 2003 interviews. The most recent cohort added to the NLS program is the NLSY97, which includes persons who were ages 12–16 on December 31, 1984.

The National Longitudinal Surveys are used by BLS and other government agencies to examine a wide range of labor market issues. The most recent BLS news release that examines NLSY79 data was published on August 31, 2021, and is available online at http://www.bls.gov/news.release/nlsoy.nr0.htm. In addition to BLS publications, analyses have been conducted in recent years by other agencies of the Executive Branch, the Government Accountability Office, and the Congressional Budget Office. The surveys also are used extensively by researchers in a variety of academic fields. A comprehensive bibliography of journal articles, dissertations, and other research that have examined data from all National Longitudinal Surveys cohorts is available at http://www.nlsbibliography.org/.

3. Describe whether, and to what extent, the collection of information involves the use of automated, electronic, mechanical, or other technological collection techniques or other forms of information technology, e.g., permitting electronic submission of responses, and the basis for the decision for adopting this means of collection. Also, describe any consideration of using information technology to reduce burden.

The field staff of NORC makes every effort to ensure that the information is collected in as expeditious a manner as possible, with minimal interference in the lives of the respondents. Its success in this regard is suggested by the very high continuing response rate and low item refusal rates that have been attained. More recent efforts also have advanced technologies that lower respondent burden.

During Round 11 (1989) of the NLSY79, about 300 cases were collected using a Computer Assisted Personal Interview (CAPI). During Round 12 (1990) CAPI was again used, this time for about 2,400 cases using a longer and more complex questionnaire. The CAPI efforts in 1989 and 1990 were designed to assess the feasibility of the method and the effect of CAPI methods on data quality. Since 1993, the NLSY79 has been conducted using CAPI for all cases. Note that some cases have been completed over the telephone in each round. In rounds 26-28, the percentage of cases completed by phone was around 96%; in Round 29, due to the coronavirus pandemic, all but one case were completed by phone. The system has proved to be stable and reliable and is well received by interviewers, respondents, and researchers.

An analysis of the Round 12 (1990) experimental data revealed that the quality of the data, as measured by missing or inconsistent responses, was greatly improved by CAPI. The effects on the pattern of responses were minor, although some answer patterns were affected because the CAPI technology in certain cases changed the way the questions were asked. Production data from Rounds 15–21, based on over 80,000 completed interviews, showed these predictions of high-quality data were correct.

The Round 30 questionnaire is programmed in a single computer-assisted interviewing (CAI) platform that interviewers can use for either telephone or in-person administration. The programming of the questionnaire is highly complex and uses extensive information from prior interviews as well as different points in the current interview. Paper and pencil administration would likely involve a high rate of error. Using a single platform for both interviewing modes greatly improves the efficiency of questionnaire programming, data quality assurance, and post-data collection data processing activities relative to having separate platforms for different interviewing modes.

The CAI questionnaire offers additional features for data quality assurance. These include the capture of item-level timings, recordings of the interviewer-respondent interaction, and the ability to monitor when the interview might have been interrupted or resumed. The availability of these features allows the data collection team to monitor interviewer performance and inspect for data falsification with minimal additional burden on respondents; as described in Section 12 below, NLS expects to conduct less than 100 short validation interviews. Re-interviews are then conducted only in the event of concerns about how an interview was conducted based on the available recordings, timings, and other data. The NLSY79 has had need for minimal re-interviews in recent years – it had none in the last three rounds – and expects at most 1 percent of interviews to require a re-interview in Round 30.

The questionnaire’s consent statement indicates that the interview will be recorded for quality control purposes. If a respondent declines to be recorded, the timings and other data quality-related paradata can generally provide adequate information for data quality assurance. If necessary, re-interviews can be conducted with a small number of respondents, included in the estimate of 1 percent of interviews above.

4. Describe efforts to identify duplication. Show specifically why any similar information already available cannot be used or modified for use for the purposes described in Item A.2 above.

A 1982 study entitled “National Social Data Series: A Compendium of Brief Descriptions” by Richard C. Taeuber and Richard C. Rockwell includes an exhaustive list with descriptions of the national data sets available at that time. A careful examination of all the data sets described in their listing indicates that no other data set would permit the comprehensive analyses of youth and young adult employment that can be conducted using the National Longitudinal Surveys. Indeed, the absence of alternative data sources was the deciding factor in the Department of Labor’s determination (in 1977) to sponsor the NLSY79. The longitudinal nature of the survey and the rich background information collected mean that no survey subsequently released can provide data to replace the NLSY79. The expansion in the mid-1980s of the NLSY79 to incorporate information on child outcomes represents a unique intergenerational data-collection effort.

Survey staff have continued to confirm that no comparable data set exists. An investigation into data sets related to wealth by F. Thomas Juster and Kathleen A. Kuester describes the data available in the wealth domain, showing the unique nature of the data available in the NLS.

The 1993 volume The Future of the Survey of Income and Program Participation points out a number of contrasts between the Survey of Income and Program Participation (SIPP) and the NLS and other major longitudinal studies (see especially pages 77, 107, and 265–7). This book was written primarily to review the SIPP but helps put the major longitudinal surveys in perspective.

BLS convened a conference in fall 1998 to look at the design of the NLSY79 for 2002 and beyond. In the process, external reviewers assessed the coverage, quality, and duplication of the survey. In its central areas of coverage—event histories on labor supply, major demographic events, and child assessments—this conference concluded that the NLSY79 was well-designed and continued to be a unique resource, unduplicated in the national statistical inventory.

An article by Michael Pergamit, et al. (2001) discusses the strengths of the NLSY79, and prominent research that had been done using NLSY79 data. Many of these studies could not have been done otherwise, because the NLSY79 has such a breadth of information, along with a history of all jobs ever held and a cognitive test score. A later paper by Aughinbaugh, et al. (2015) examines the unique strengths of the NLSY79 and NLSY97 surveys, and the resulting important research.

In 2016, BLS convened a panel of aging, health, and retirement experts to give advice on the content and direction the survey needs to take in the next 10-15 years. The Retirement Working Group, led by Professor Kathleen McGarry, provided advice on survey content, linkages to administrative data, and such, which the NLSY79 has already begun implementing. The NLSY79 provides advantages for studying aging and retirement over other longitudinal studies, which tend to begin when respondents are much older. The NLSY79 contains a long history of information collected as events occurred. In addition, over half of the sample members have a sibling in the sample, the NLSY79 Child/Young Adult data contains assessments and interviews with children of the female respondents, and the main survey contains data on respondents’ cognition and health over the years.

Past work shows that there is no other longitudinal data set available that can address effectively the many research topics highlighted in attachment 3. This data set focuses specifically and in great detail on the employment, educational, demographic, and social-psychological characteristics of a nationally represented sample of younger baby boomers and their families and measures changes in these characteristics over long time periods. The survey gathers this information for both men and women, and for relatively large samples of black and Hispanic adults. The repeated availability of this information permits consideration of employment, education, and family issues in ways not possible with any other available data set. The combination of (1) longitudinal data covering the time from adolescence; (2) national representation; (3) large black and Hispanic samples; and (4) detailed availability of education, employment and training, demographic, health, child outcome, and social-psychological variables make this data set, and its utility for social science policy-related research, unique.

In addition to the content of the interviews, the survey is also distinctive because of its coverage of the respondents’ lives for more than 35 years and the linkage between data on mothers and their children. These aspects attract the thousands of users who rely on this survey for their studies of American workers, their careers, and their families.

References:

Aughinbaugh, Alison, Charles R. Pierret, and Donna S. Rothstein. “The National Longitudinal Surveys of Youth: Research Highlights.” Monthly Labor Review (September 2015). https://doi.org/10.21916/mlr.2015.34.

Citro, Constance C. and Kalton, Graham, eds. The Future of the Survey of Income and Program Participation. Washington, DC: National Academy Press, 1993.

Juster, F. Thomas and Kuester, Kathleen A. “Differences in the Measurement of Wealth, Wealth Inequality and Wealth Composition Obtained from Alternative U.S. Wealth Surveys.” Review of Income and Wealth Series 37, Number 1 (March 1991): 33-62.

Pergamit, Michael R., Charles R. Pierret, Donna S. Rothstein, and Jonathan R. Veum. “Data Watch: The National Longitudinal Surveys.” Journal of Economic Perspectives 15, 2 (Spring 2001): 239-253.

Taeuber, Richard C. and Rockwell, Richard C. “National Social Data Series: A Compendium of Brief Descriptions.” Review of Public Data Use 10, 1-2 (May 1982): 23-111.

5. If the collection of information impacts small businesses or other small entities, describe any methods used to minimize burden.

The NLSY79 is a survey of individuals in household and family units and therefore does not involve small organizations.

6. Describe the consequence to federal program or policy activities if the collection is not conducted or is conducted less frequently, as well as any technical or legal obstacles to reducing burden.

The core of the National Longitudinal Surveys is the focus on labor force behavior. It is very difficult to reconstruct labor force behavior retrospectively and still maintain sufficient precision and data quality. This is the single most important reason the NLS strives to maintain regular interviews with these respondents, who on average have frequent transitions in employment, income and earnings, and family and household structure. Historic dates relating to these transitions are difficult to reconstruct when one focuses on events earlier than the recent past. For those who are employed, retrospective information on wages, detailed occupations, job satisfaction, or other employment-related characteristics cannot be easily recalled.

As with employment-related information, data about a respondent’s education and training history are also difficult to recall retrospectively. Completion dates of training and education programs are subject to severe memory biases. Thus, causal analyses that require a sequencing of education, training, and work experiences cannot be easily or accurately accomplished with historical data. Not only are completion dates of educational and training experiences frequently difficult to recall, but there is also evidence that misreporting of program completion is not unusual.

The precise timing and dating of demographic, socio-economic, and employment events, so crucial to most labor force analysis, is in most instances impossible to reconstruct accurately through retrospective data collection that extends very far into the past. For example, there is evidence from the NLS that dates of events of fundamental importance, such as marriage and birth histories, are subject to considerable error at the disaggregated level when collected retrospectively. Respondents have difficulty recalling when their marriages began or ended. Also, accurate information about household structure, how it changes over time, and how this relates to changes in family income and labor force dynamics is difficult to reconstruct retrospectively, as is the information on the health and related behaviors of the respondents, their spouses, and their children.

Finally, it is important to emphasize that information of a subjective nature can only be accurately reported and collected on a contemporaneous basis. Recollection of attitudes may be colored by subsequent experiences or reflect a rationalization of subsequent successes or failures. Attitudes as widely diverse as one’s ideas about women’s roles or how one perceives one’s health as of an earlier period can be recollected inaccurately, even when respondents are trying to be as honest as they can. In addition, the older the events that one tries to recall, either objective or subjective in nature, the greater the likelihood of faulty recall. The recall of events or attitudes is often biased either by a tendency to associate the event with major life-cycle changes (that may or may not be in temporal proximity to what one is trying to recall) or to move the event into the more recent past.

While more frequent interviewing is desirable, financial limitations prompted the NLSY79 to move to a biennial interview cycle beginning in 1994. The data loss due to reduced frequency is somewhat ameliorated by the fact that the cohort is more established, having negotiated the school-to-work transition with varying degrees of success. The NLSY79 uses bounded interviewing techniques and is designed so that when respondents miss an interview, information not collected in the missed interview is gathered in the next completed interview. In this way, the event history on work experience is very complete.

A study was conducted to assess the impact of the longer recall period by using an experimental design in the 1994 interview. About 10 percent of the respondents who were interviewed in 1993 were given a modified instrument that was worded as if the respondents were last interviewed in 1992. Using this experimental structure, NLS examined the respondents’ reports on experiences between the 1992 and 1993 interviews using information from their 1993 and 1994 reports on that same reference period. As expected, recall was degraded by a lower interview frequency. Events were misdated and some short duration jobs were not reported when the reference period was moved back in time. Based on this evidence, it is clear that less frequent data collection adversely affects longitudinal surveys.

A second potential problem caused by the move to a biennial interview is a decline in NLS’s ability to locate respondents who move. NLS has been able to compensate for this so far, but a change to less frequent interviewing would likely have a more negative impact.

7. Explain any special circumstances that would cause an information collection to be conducted in a manner:

• requiring respondents to report information to the agency more often than quarterly;

• requiring respondents to prepare a written response to a collection of information in fewer than 30 days after receipt of it;

• requiring respondents to submit more than an original and two copies of any document;

• requiring respondents to retain records, other than health, medical, government contract, grant-in-aid, or tax records for more than three years;

• in connection with a statistical survey, that is not designed to produce valid and reliable results that can be generalized to the universe of study;

• requiring the use of statistical data classification that has not been reviewed and approved by OMB;

• that includes a pledge of confidentially that is not supported by authority established in statute or regulation, that is not supported by disclosure and data security policies that are consistent with the pledge, or which unnecessarily impedes sharing of data with other agencies for compatible confidential use; or

• requiring respondents to submit proprietary trade secret, or other confidential information unless the agency can demonstrate that it has instituted procedures to protect the information's confidentially to the extent permitted by law.

None of the listed special circumstances apply.

8. If applicable, provide a copy and identify the date and page number of publication in the Federal Register of the agency's notice, required by 5 CFR 1320.8(d), soliciting comments on the information collection prior to submission to OMB. Summarize public comments received in response to that notice and describe actions taken by the agency in response to these comments. Specifically address comments received on cost and hour burden.

Describe efforts to consult with persons outside the agency to obtain their views on the availability of data, frequency of collection, the clarity of instructions and recordkeeping, disclosure, or reporting format (if any), and on the data elements to be recorded, disclosed, or reported.

Consultation with representatives of those from whom information is to be obtained or those who must compile records should occur at least once every 3 years -- even if the collection-of-information activity is the same as in prior periods. There may be circumstances that may preclude consultation in a specific situation. These circumstances should be explained.

One comment was received as a result of the Federal Register notice published on March 1, 2022 (87 FR 11484). The comment, which was e-mailed to BLS on March 1, 2022, expressed the opinion that the survey does not benefit the citizens of the country.

The National Longitudinal Surveys are widely used by researchers to learn about the functioning of the labor market and the multiple factors that affect it. They have supported several thousand published studies. These studies, in turn are used widely by policymakers to formulate and adjust policies that represent the interests of the Nation. Additionally, the NLS program has partnered extensively with other Federal agencies to discover facts that are especially relevant to particular policies and programs.

There have been numerous consultations regarding the NLSY79. Preceding the first round of the NLSY79, the Social Science Research Council (SSRC) sponsored a conference at which academic researchers from a broad spectrum of fields were invited to present their views regarding the value of initiating a longitudinal youth survey and what the content of the survey should include. The initial survey development drew heavily on the suggestions made at this conference, which were published in a proceeding under the auspices of the SSRC.

In 1988, the National Science Foundation sponsored a conference to consider the future of the NLS. This conference consisted of representatives from a variety of academic, government, and nonprofit research and policy organizations. There was enthusiastic support for the proposition that the NLS should be continued in the current format, and that the needs for longitudinal data would continue over the long run. The success of the NLS, which was the first general-purpose, longitudinal labor survey, has helped reorient survey work in the United States toward longitudinal data collection and away from simple cross sections.

Also, on a continuing basis, BLS and its contractors encourage NLS data users to suggest ways in which the quality of the data can be improved and to suggest additional data elements that should be considered for inclusion in subsequent rounds. NLS encourages this feedback through the public information office of each organization and through the ‘Suggested Questions for Future NLSY Surveys’ (available online at https://www.nlsinfo.org/nlsy-user-initiated-questions).

Individuals from other Federal agencies who were consulted regarding the content of the 2022 survey include:

Cynthia L. Ogden

Chief, NHANES Analysis Branch

National Health and Nutrition Examination Survey

National Center for Health Statistics

John Phillips

Chief, Population and Social Processes Branch

Division of Behavioral and Social Research

National Institute on Aging

The NLS program has a Technical Review Committee that advises BLS and its contractors on questionnaire content and long-term objectives. The committee typically meets twice a year. Table 2 below shows the current members of the committee.

Table 2. National Longitudinal Surveys Technical Review Committee (December 2021)

Fenaba Addo Department of Public Policy and Department of Sociology University of North Carolina, Chapel Hill	Jennie Brand Department of Sociology and Department of Statistics University of California, Los Angeles	Sarah Burgard Department of Sociology and Department of Epidemiology University of Michigan
Lisa Kahn Department of Economics University of Rochester	Michael Lovenheim Department of Policy Analysis and Management Cornell University	Nicole Maestas Harvard Medical School
Melissa McInerney (chair) Department of Economics Tufts University	Kristen Olson Department of Sociology University of Nebraska-Lincoln	Emily Owens Department of Criminology, Law & Society and Department of Economics University of California, Irvine
John Phillips Division of Behavioral and Social Research National Institute on Aging/NIH	Rebecca Ryan Department of Psychology Georgetown University	Narayan Sastry Population Studies Center University of Michigan
Jeffrey Smith Department of Economics University of Wisconsin	Owen Thompson Department of Economics Williams College

The NLS Technical Review Committee convened a conference in 1998 to review the current and future design of the NLSY79. This conference indicated that the central design of the NLSY79 remained strong, although changes in the nation’s welfare program required changes in the program recipiency section of the survey. Many of these changes were implemented in the 2000 and 2002 interviews. Some health section modifications were introduced in 2006 (cognitive functioning model), and the 2008 and 2018 surveys included a new health module for respondents who had reached age 50 and age 60 (mirroring the age 40 module).

9. Explain any decision to provide any payments or gifts to respondents, other than remuneration of contractors or grantees.

The 2022 data collection round for NLSY79 will be the 30th round of participation for respondents and the 43rd year since the survey began. The long-term nature of this study, with regular reinterviewing of subjects over 40+ years, requires that respondents be given ample financial incentive to secure their cooperation. To determine appropriate baselines, missed round incentives, and other bonus incentives, NLS has implemented a variety of experiments over the course of the NLSY79 that have tested different incentive strategies to ensure that any incentive design is relevant.

Respondent incentives represent only a fraction of the total field costs, and higher incentives can be a cost-effective means of increasing response while constraining the overall budget. Each round there is a growing pool of sample members who are reluctant to cooperate. Therefore, the overall data collection strategy includes a set of measures to encourage cooperation beyond just offering higher respondent incentives. NLS requests clearance for the following, integrated conversion strategy:

Table 3: Main NLSY79 incentive categories 

Incentive Type	Completed Round 29	Missed Round 29
Base	$70	$70
Early Bird	$100	$100
Missed Rounds		$50 to 70
Final Push – Standard	$30	$30
Final Push – Enhanced	$50	$50
In-kind	Up to $12	Up to $12
Enhanced In-kind	Up to $25	Up to $25
Min	$70	$120
Max	$120	$190
Typical	$70	$120

Base Incentive

NLS proposes to once again offer a base respondent incentive of $70, the amount that was first introduced in Round 27 and repeated in Rounds 28 and 29.

Early Bird Incentive

As OMB requested in past rounds, NLS proposes to make an Early Bird offer to all main NLSY79 respondents. In Rounds 27-29, the Early Bird offer was $100 inclusive of the base incentive. In Round 30, NLS requests permission to maintain that amount. Because NLS’s approach is to tie higher incentives to cooperative behavior, bringing more respondents under the Early Bird rubric will reduce the overall costs of the survey, hence extending higher incentives is beneficial for both the project and respondents.

Missed Round Bonus

NLS proposes to offer an additional incentive payment for respondents who were not interviewed in the previous survey round(s). This missed round incentive is designed to encourage attriters to return to the study. Anyone returning after only missing Round 29 would receive a $50 missed round incentive in Round 30. The amount of the incentive would increase as the number of previous rounds missed increases: a respondent returning after two rounds out would receive a $60 missed round incentive and a respondent returning after three or more rounds out would receive a $70 missed round incentive. This graduated structure accounts both for the fact that the difficulty of gaining participation increases as the non-completion period increases and the fact that those returning from a long lapse in response will be asked to complete a longer interview (each interview traces the respondent’s job history back to the last completed interview).

Incentivizing completion among those who refused to respond in earlier waves has been found to be effective in the Survey of Income and Program Participation (Martin et al 2001), the Health and Retirement Survey (Rodgers 2011), and the Survey of Program Dynamics (Creighton et al 2011). The experience of the NLS has been consistent with these positive results. The primary experimental evidence that NLS has comes from the NLSY97, where a variety of tests have demonstrated significant results. When NLS randomly implemented missed round incentives to the NLSY97 (in Round 7) it was found that they increased response in the target population by 5 percentage points. In Round 18, NLS randomly assigned higher payments to those who had missed many rounds; this resulted in a 7-percentage point increase in response. NLS does not have experimental results directly from the NLSY79 but, based on the experience of the NLSY97 and other surveys, NLS believes that the missed round incentives offered for many rounds have been important contributors to NLS’s continuing high retention rates.

NLSY79 has implemented graduated missed round incentives with a similar structure in each of its last seven rounds. In Rounds 28 and 29, incentives of $20, $30, and $40 were given to respondents returning after one, two, or three-plus rounds, respectively. In Round 30, NLS is requesting permission to augment these amounts by an additional $30 for all respondents returning after missing Round 29. This additional payment is targeted to reach a vital segment of the sample: would-be respondents who were deterred by the coronavirus pandemic from responding. Despite very diligent efforts to reach NLS’s sample members and secure their responses, the number of survey completions fell to 6530 in Round 29 from 6878 in Round 28. Although some attrition in response is ordinary between rounds, NLS believes that there are several hundred non-respondents who would have been likely to complete a response in Round 29 but for the pandemic. Indeed, the vast majority of individuals whose responses fell short of projections in Round 29 had responded in Round 28. Bringing these respondents back into the fold is a high priority that NLS believes will benefit the survey even beyond Round 30. Based on the accumulated evidence, NLS believes the augmented incentive will have a high return in value to the program.

As with prior rounds, NLS would be careful to inform respondents that this is a one-time additional incentive in appreciation for their returning to the study after the pandemic-impacted previous round, and for the additional time and data needed to catch up in this interview round. NLS would inform them that they will not receive this additional amount next round. Based on prior experience in the NLSY79 and NLSY97, NLS anticipates that respondents will appreciate this non-interview premium and will understand the distinction between the base amount and the additional incentive. NLS also notes that missed round payments are also appropriate because these respondents tend to have slightly longer interviews as they catch up on reporting information from missed rounds.

Gatekeeper Incentives

Some “gatekeepers” are particularly helpful in tracking down reluctant sample members. For example, a parent or sibling not in the survey may provide locating information or encourage a sample member to participate. (Note that NLS never reveals the name of the survey to these gatekeepers; it is described simply as “a national survey.”) NLS often returns to the same gatekeepers round after round. To maintain their goodwill, NLS would like to be able to offer gatekeepers who are particularly helpful a small gift worth about $5. NLS has offered a similar incentive in Rounds 26-29 of the NLSY79 and Rounds 15-20 of the NLSY97. It is used very infrequently but has proven effective in finding respondents and getting them to complete interviews.

Final Push Incentive

Starting after the first 12 weeks of the round, NLS proposes to make cases that have not yet refused and had at least 6 contact attempts eligible for a final push incentive of up to $30 (bringing the total incentive, including the base incentive, to $100).  NLS offered this same amount in Round 29. Cases eligible for the final push are the survey’s most costly for completion and lead increasingly to elongated field periods. If a case has refused during initial outreach attempts, the case would be eligible for the final push incentive after 12 weeks regardless of the number of contact attempts made. To facilitate a timely close to the fielding, starting 6 months after the start of fielding, all cases will be eligible for this incentive, after BLS and the contractors have discussed the exact timing of implementation.

This type of incentive has been shown to be effective in the Panel Study of Income Dynamics, with little effect on noncontact rates (McGonagle and Freedman 2016). In addition, NLS conducted an experiment in Round 29 to evaluate the effectiveness of the final push on the NLSY79 sample. This experiment was conducted by randomly assigning interviewers into two separate groups. The first group had their cases eligible for the final push and enhanced final push at the traditional time, while the second group had their cases eligible for the final push and enhanced final push 6 weeks later. This staggered implementation of the final push allowed an opportunity to evaluate the effectiveness of the final push by comparing the trajectories of completion rates and effort for cases eligible for final push to randomly assigned cases that were not eligible at the time.

If the final push incentive had no effect on completion, then NLS would expect that cases randomly assigned to be eligible for final push would have similar completion rates as those eligible for final push 6 weeks later. However, NLS found that final push incentives increased overall completion rates by about three percentage points. Significant increases in response were seen among each type of response probability group. Final push incentives almost doubled the completion rate for those in the high response probability group (see Table 4).

These results suggest that the final push incentive is an effective means for increasing participation and interview completion. Because these cases are among the most time-consuming and resource-intensive from which to gain cooperation, this impact represents a significant cost savings. As these cases, identified after many months of non-response, are all among the hardest to complete, the additional responses obtained are especially valuable to the survey’s representativeness.

Table 4: Final Push Evaluation Results (six-week treatment period)

Response Probability Group	Final Push Experiment Group	N	Completes	Pending	Completion Rate
High	Treatment	202	57	127	28.22%
	Control	260	37	205	14.23%
Mid	Treatment	451	84	321	18.63%
	Control	479	64	355	13.36%
Low	Treatment	955	29	708	3.04%
	Control	742	14	582	1.89%
Total	Treatment	1,608	170	1,156	10.57%
	Control	1,481	115	1,142	7.77%

*All statistics in the table reflect only the experimental time period from 3/29/2021-5/9/2021 when the treatment group was eligible for the final push incentive and the control group was not.

NLS also examined the final push evaluation completion rates at the end of the round (as of 12/6/21) to see if there were any lasting effects from the timing of the final push. As can be seen in Table 5, while within each response probability group a gap remained at the end of the round, the overall gap in completion rates between the treatment and control group disappeared after the control group was exposed to the final push incentive. NLS interprets this primarily as further evidence of the effect of the final push incentive for increasing completion rates.

Table 5: Final Push Evaluation Results (full round)

Response Probability Group	Final Push Experiment Group	N	Completes	Pending	Completion Rate
High	Treatment	202	126	61	62.38%
	Control	260	128	113	49.23%
Mid	Treatment	451	235	167	52.11%
	Control	479	232	184	48.43%
Low	Treatment	955	106	589	11.10%
	Control	742	66	496	8.89%
Total	Treatment	1,608	467	817	29.04%
	Control	1,481	426	793	28.76%

*All statistics in the table reflect the time period from 3/29/2021-12/6/2021.

Enhanced Final Push

Maintaining a sample that is balanced across demographic characteristics is essential to supporting research across the life cycle. To the end of bolstering the representativeness of the NLSY79 sample, NLS proposes to offer an “Enhanced Final Push” incentive that targets a $50 final push amount instead of the $30 final push amount (an extra $20) for a subgroup of cases that had low response rates. NLS offered this same amount in Round 29. Once extended, this offer would remain in place for the remainder of the field period (as would the traditional final push incentive).

The subgroups NLS proposes to evaluate for inclusion in the enhanced final push will be chosen to represent groups that directly concern labor market activity: educational attainment, AFQT score, weeks worked (defined in 4 categories), presence or absence of a health condition that limits work activity, and each of these stratified by gender or race/ethnicity. For each possible subgroup, NLS will calculate the overall response rate for the subgroup when the entire sample has completed at a rate of 60 percent. Any subgroup having a response rate at least 7 percent below the sample average (i.e., less than 53 percent) will be offered the enhanced $50 final push amount instead of the typical $30 final push amount that is approved for all remaining cases.

Although not perfect, there is evidence to suggest that the enhanced final push had a positive impact on completion rate for Round 29 of NLSY. Table 6 shows results from the NLSY79 Round 29 enhanced final push. Here, the group designated “Eligible for Enhanced Final Push” includes all individuals who would have been eligible for the enhanced final push if they had not completed the Round 29 interview as of the start of final push. The first two sets of columns present completion rates at the 60% mark and at the start of final push, respectively. The third set of columns presents the cumulative completion rate of these groups when fielding concluded.

Table 6: Round 29 Enhanced Final Push Results

	At 60% Completion			At Start of Final Push			Cumulative at End of Round
	N	Complete	% Complete	N	Complete	% Complete	N	Complete	% Complete
Not Eligible for Enhanced Final Push	6,114	4,143	67.76%	6,114	4,399	71.95%	6,114	4,986	81.55%
Eligible for Enhanced Final Push	2,636	1,123	42.60%	2,636	1,236	46.89%	2,636	1,535	58.23%

At the start of the final push, 46.89% of respondents in the group eligible for the enhanced final push had completed an interview, compared to 71.95% of other respondents. After the final push went into effect, the enhanced final push group completed at a higher rate (11.34 percentage point improvement in the completion rate) compared to the other respondents (9.60 percentage point increase), providing suggestive evidence that the enhanced final push was successful. NLS previously has seen similar results when implementing a final push incentive in Round 28, which compared favorably to the results in Round 27 (when no final push incentive was offered).

These results indicate that enhance final push incentives help us obtain completions from sample members who are particularly difficult to reach; however, NLS notes that these results are suggestive rather than experimental. To gather more rigorous evidence, NLS currently is conducting an experiment to evaluate the effect of the enhanced final push in Round 20 of the NLSY97. NLS plans to use the results of this experiment to guide the incentive design in subsequent rounds of the NLSY97 and the NLSY79.

In-Kind Incentives

NLS proposes to offer in-kind gifts, in mailings or in door hangers, for as many as 2,400 respondents. These gifts would have a maximum value of $12 and average only $10. Many NLS interviewers report that having something to offer respondents, such as a monetary incentive, additional in-kind offering, or new conversion materials, allows them to open the dialogue with formerly reluctant respondents. They find it useful for gaining response if they have a variety of options to respond to the particular needs, issues, and objections of the respondent. NLS has used similar gifts in many recent rounds to strengthen the ongoing relationships between the program and its respondents. NLS would like to have the ability to include a token in a mailing that either makes the envelope heavier or comes in a box, and thus may induce cooperative behavior from the respondent such as opening the mail, reading the message, engaging with the project through calls to the 800 number, setting a web appointment, or responding when the interviewer calls or stops by. Decisions for who receives the in-kind incentives would be made by NORC central office, and interviewers would not have discretion over which respondents received this incentive.

Although the value of the in-kind offerings that NLS is proposing is small, the benefit is useful in inducing respondents to engage outreach attempts and interviewers to make outreach. NLS’s goal will be to use these small tokens broadly across the sample. Because the value of the proposed items is small, NLS will not prevent circumstances where a respondent may be the recipient of more than 1 offer. However, no respondents will receive all in-kind offers.

Enhanced In-Kind Incentives

Late in the round during Round 29, NLS sent staggered in-kind mailings to respondents. These in-kind mailings were designed to be an imperfect substitute for in-person operations and showed some evidence of suggestive positive effects on encouraging completion. Table 7 presents a comparison of the number of completes in each mailing group the week before and the week after the mailing. Each of the mailing groups showed an increase in completion after receiving the gift compared to before, especially for the June 29^th mailing. Overall, the number of completes almost doubled after receiving the in-kind bonus. The sample sizes for this analysis are small and the results are modest, so NLS does not feel that this exact approach is any sort of substitute for in-person contact in the future. Nonetheless, these mailings were performed late in the sample period with very difficult cases, so the fact that completion rates consistently improved suggests that some form of targeted unconditional in-kind bonus could be a potentially effective tool in future rounds.

Table 7: In-Kind Bonus Evaluation Results

Mailing Date	N	N Completes Week Prior to Mailing	N Completes Week After Mailing	Pct Point Increase in Comp Rate
June 29	391	11	19	2.19
July 6	309	0	2	0.65
July 13	563	12	18	1.14
July 20	210	0	3	1.43
Total	1,473	23	42	1.34

Following on this suggestive evidence, NLS would like to dig deeper into whether there is a potential use for these types of in-kind gifts in the NLSY79. To do so, NLS proposes to offer an enhanced in-kind incentive to a select group of 200 respondents. The value of this enhanced in-kind incentive will be $25 in value as opposed to the traditional in-kind gift, which is $10 in value. In order to support hypothesis building for future larger scale evaluations of an in-kind bonus, FIs will be required to fill out a form documenting why they felt the case should get an enhanced in-kind incentive and the type of in-kind incentive that was used. After the fielding period, NLS would analyze the justifications for these cases compared to their completion rates. This would allow NLS to learn qualitatively from this exercise and hopefully be able to better use in-kind bonuses in the future.

Incentive Costs

A table listing the total cost of incentives by respondent pool is provided below.

Table 8. Round 30 Incentive Costs for Main NLSY79 Sample

Incentive Type	R29 Completers	Missed R29	Missed R28-R29	Missed R27-R29
Sample size*	6521	663	240	1326
Expected completes	90.28%	37.01%	24.36%	12.36%
Base	$70	$70	$70	$70
Missed Round(s)		$50	$60	$70
Total from Base and Missed Round	$412,101	$29,445	$7,600	$22,945
Total from Above Row	$472,091
Other Incentives
Early Bird	$30 for an estimated 3,000 respondents = $90,000 total.
Final Push	$30 for an estimated 1,000 respondents = $30,000 total.
Enhanced Final Push	$20 for an estimated 300 respondents = $6,000 total.
In-Kind	$10 for an estimated 2,400 respondents = $24,000.
Enhanced In-Kind	$25 for an estimated 200 respondents = $5000.
Gatekeeper	$5 for an estimated 20 respondents = $100
Total from Other Incentives	$155,100
Grand Total	$627,191

* Note: Sample sizes exclude deceased and blocked cases. Expected completes and R30 sample size based on completion rates of similar groups in R29 as of December 8, 2021.

Electronic Payment of Incentives

In Rounds 27-29, NLS offered respondents the opportunity to receive their incentive payment via electronic methods (specifically, PayPal and Online Mobile Banking). During the NLSY79 Round 30 main field period, NLS will continue offering this option to telephone interview respondents. The attraction of electronic payment is large for both respondents and the NLS program. For respondents, electronic payment will generally involve less effort to receive funds than would a paper check or money order. Furthermore, the NLS program can save administration costs and mailing costs by making electronic payments. The cost is also much lower if a payment needs to be tracked or a respondent does not recall having received it. Electronic transaction options are expanding markedly, for example, PayPal, GoogleWallet, ApplePay, Zelle, etc., and NLS can expect the options during NLSY79 Round 30 main fielding to be even greater than those available today.

Summary

In NLS’s experience, there is no single strategy for securing respondent cooperation. The primary need is for flexibility in how NLS approaches sample members and how NLS follows up with reluctant sample members. Overall, there are about 2,500 sample members who are hard to interview in the NLSY79, either because of busy schedules or a mindset that ranges from indifference to hostility. The incentive plan laid out above provides a structure for engaging these respondents and encouraging them to respond.

NLS reiterates that incentive payments are only part of the approach to encouraging response. An equally important part of the effort is designing an effective marketing campaign, including conversion materials that interviewers can use to respond to sample members who provide a variety of reasons for not completing the interview. This portfolio of respondent materials backs up the interviewer, providing a variety of approaches to converting refusals. NLS also encourages national teamwork among the interviewers and periodic calls among interviewers to share their successful “tricks of the trade” with each other that turn reluctant sample members into completed cases. Conversion materials and the ability to employ flexible respondent incentives also have important effects on interviewer morale. With a combination of a marketing campaign to “sell” the survey, the ability to personalize their approach to each respondent, and incentives such as in-kind bonuses that provide another selling point, interviewers will not feel they are alone and forced to deal with a difficult task of persuasion without the tools to do the job.

Locating is also a key aspect of obtaining respondent cooperation. Over the past several rounds, NLS has developed continuous locating strategies to keep track of sample members between interviews. For example, NLS monitors area code changes, which have become more frequent and play havoc with the accuracy of the phone numbers for NLS sample members. NLS reviews the record of calls to identify subsets of sample members for whom a particular style of advance conversion letter will respond to their concerns. NLS also will continue to include questions in the survey that solicit the views and opinions of respondents. Respondents often find such questions interesting and engaging, and the questions help to build credibility with respondents that the survey is a serious scientific and policy-related endeavor.

NLS’s primary goal must be to continue in the good graces of the respondents. Angering sample members is not an option in the face of their ability to screen and reject interviewer’s calls. NLS’s incentive efforts and contacting approach will continue NLS’s efforts to motivate sample members, assuage their concerns, and convey NLS’s interest in them as individuals, not numbers.

References

Creighton, K. P., King, K. E., & Martin, E. A. (2007). The use of monetary incentives in Census Bureau longitudinal surveys. Survey Methodology, 2.

Martin, E., & Winters, F. (2001). Money and motive: effects of incentives on panel attrition in the survey of income and program participation. Journal of Official Statistics, 17(2), 267.

McGonagle, K. A., & Freedman, V. A. (2017). The effects of a delayed incentive on response rates, response mode, data quality, and sample bias in a nationally representative mixed mode study. Field methods, 29(3), 221-237.

Rodgers, W. L. (2011). Effects of increasing the incentive size in a longitudinal study. Journal of Official Statistics, 27(2), 279.

10. Describe any assurance of confidentiality provided to respondents and the basis for the assurance in statute, regulation, or agency policy.

a. BLS Confidentiality Policy

The information that NLSY79 respondents provide is protected by the Privacy Act of 1974 (DOL/BLS–13, NLSY79 Database (81 FR 25788)) and the Confidential Information Protection and Statistical Efficiency Act (CIPSEA).

CIPSEA safeguards the confidentiality of individually identifiable information acquired under a pledge of confidentiality for exclusively statistical purposes by controlling access to, and uses made of, such information. CIPSEA includes fines and penalties for any knowing and willful disclosure of individually identifiable information by an officer, employee, or agent of the BLS.

Based on this law, the BLS provides respondents with the following confidentiality pledge/informed consent statement:

“We want to reassure you that your confidentiality is protected by law. In accordance with the Confidential Information Protection and Statistical Efficiency Act, the Privacy Act, and other applicable Federal laws, the Bureau of Labor Statistics, its employees and agents, will, to the full extent permitted by law, use the information you provide for statistical purposes only, will hold your responses in confidence, and will not disclose them in identifiable form without your informed consent. All the employees who work on the survey at the Bureau of Labor Statistics and its contractors must sign a document agreeing to protect the confidentiality of your information. In fact, only a few people have access to information about your identity because they need that information to carry out their job duties.

Some of your answers will be made available to researchers at the Bureau of Labor Statistics and other government agencies, universities, and private research organizations through publicly available data files. These publicly available files contain no personal identifiers, such as names, addresses, Social Security numbers, and places of work, and exclude any information about the States, counties, metropolitan areas, and other, more detailed geographic locations in which survey participants live, making it much more difficult to figure out the identities of participants. Some researchers are granted special access to data files that include geographic information, but only after those researchers go through a thorough application process at the Bureau of Labor Statistics. Those authorized researchers must sign a written agreement making them official agents of the Bureau of Labor Statistics and requiring them to protect the confidentiality of survey participants. Those researchers are never provided with the personal identities of participants. The National Archives and Records Administration and the General Services Administration may receive copies of survey data and materials because those agencies are responsible for storing the Nation’s historical documents.”

BLS policy on the confidential nature of respondent identifiable information (RII) states that “RII acquired or maintained by the BLS for exclusively statistical purposes and under a pledge of confidentiality shall be treated in a manner that ensures the information will be used only for statistical purposes and will be accessible only to authorized individuals with a need-to-know.”

By signing a BLS Agent Agreement, all authorized agents employed by the BLS, contractors and their subcontractors pledge to comply with the Privacy Act, CIPSEA, other applicable federal laws, and the BLS confidentiality policy. No interviewer or other staff member is allowed to see any case data until the BLS Agent Agreement, Department of Labor Rules of Conduct, BLS Confidentiality Training certification, and Department of Labor Information Systems Security Awareness training certification are on file. Respondents will be provided a copy of the questions and answers shown in Attachment 6 about uses of the data, confidentiality, and burden. These questions and answers appear on the back of the letter that respondents will receive in advance of the Round 30 interviews.

b. CHRR and NORC Contractor Confidentiality Safeguards

BLS contractors (CHRR and NORC) have safeguards to provide for the security of NLS data and the protection of the privacy of individuals in the sampled cohorts. These measures are used for the NLSY79 as well as the other NLS cohorts. Safeguards for the security of data include:

1. Storage of printed survey documents in locked space at NORC.

2. Protection of computer files at CHRR and NORC against access by unauthorized individuals and groups. Procedures include using passwords, high-level “handshakes” across the network, data encryption, and fragmentation of data resources. As an example of fragmentation, should someone intercept data files over the network and defeat the encryption of these files, the meaning of the data files cannot be extracted except by referencing certain cross-walk tables that are neither transmitted nor stored on the interviewers’ laptops. Not only are questionnaire response data encrypted, but the entire contents of interviewers’ laptops are now encrypted. Interview data are periodically removed from laptops in the field so that only information that may be needed by the interviewer is retained. If a laptop is lost or stolen it can be wiped clean remotely.

3. Protection of computer files at CHRR and at NORC against access by unauthorized persons and groups. Especially sensitive files are secured through a series of passwords to restricted users. Access to files is strictly on a need-to-know basis. Passwords change every 90 days.

4. To assure the CHRR and its subcontractor NORC are in compliance with the Federal Information Security Modernization Act of 2014 (FISMA) and adequately monitoring all cybersecurity risks to NLS assets and data, in addition to regular self-assessments, the NLS system undergoes a full NIST 800-53 audit every 3 years using an outside independent cybersecurity auditing firm.

Protection of the privacy of individuals is accomplished through the following steps:

1. Oral permission for the interview is obtained from all respondents, after the interviewer ensures that the respondent has been provided with a copy of the appropriate BLS confidentiality information and understands that participation is voluntary.

2. Information identifying respondents is separated from the questionnaire and placed into a non-public database. Respondents are then linked to data through identification numbers.

3. The public-use version of the data, available on the Internet, masks or removes data that are of sufficient specificity that individuals could theoretically be identified through some set of unique characteristics.

4. Other data files, which include variables on respondents’ State, county, metropolitan statistical area, zip code, and census tract of residence and certain other characteristics, are available only to researchers who undergo a review process established by BLS and sign an agreement with BLS that establishes specific requirements to protect respondent confidentiality. These agreements require that any results or information obtained as a result of research using the NLS data will be published only in summary or statistical form so that individuals who participated in the study cannot be identified. These confidential data are not released to researchers without express written permission from NLS and are not available on the public use internet site.

5. In Round 30 NLS will continue several training and procedural changes to increase protection of respondent confidentiality. These include an enhanced focus on confidentiality in training materials, clearer instructions in the Field Interviewer Manual on what field interviewers may or may not do when working cases, and formal separation procedures when interviewers complete their project assignments. Online and telephone respondent locating activities have been relocated from NORC’s geographically dispersed field managers to locating staff in NORC’s central offices. Respondent social security numbers were separated from NORC and CHRR records during Round 23.

11. Provide additional justification for any questions of a sensitive nature, such as sexual behavior and attitudes, religious beliefs, and other matters that are commonly considered private. This justification should include the reasons why the agency considers the questions necessary, the specific uses to be made of the information, the explanation to be given to persons from whom the information is requested, and any steps to be taken to obtain their consent.

Several sets of questions in the NLSY79 might be considered sensitive. This section describes these questions and explains why they are a crucial part of the data collection. All of these topics have been addressed in previous rounds of the surveys, and respondents generally have been willing to answer the questions. Respondents are always free to refuse to answer any question that makes them feel uncomfortable.

Income, Assets, and Program Participation. One major set of sensitive questions collects information about respondents’ income and assets. The interviews record information about the sources and amounts of income received during the past calendar year by the respondent, his or her spouse or partner, or other family members. Income sources identified include the respondents’ and their spouses’ or partners’ wages and salaries, income from military service, profits from a farm or business, Social Security, pensions and annuities. These questions, or variants, have appeared in the NLSY79 since 1979. The interviews collect information about what assets and debts the respondent and his or her spouse or partner hold, as well as the values of these assets and debts. Variants of these questions have appeared in the NLSY79 since 1979. While some respondents refuse to answer these questions, the item nonresponse rate is lower than for most surveys. The survey also asks about income received by the respondent and spouse or partner from unemployment compensation, Temporary Assistance for Needy Families (TANF), food stamps, Supplemental Security Income, and other public assistance programs. While questions on program participation have changed over the years, they have been in the survey for the past 30 years.

Income and assets questions are central to the usefulness of the NLSY79 data collection. Most analyses based on the survey include some measure of the financial resources available to the respondent, either as an input variable, outcome variable, or control. It is very difficult to conceive of a replacement measure that would function in the same way in research about the returns to education, participation in the labor market, child development, and so on. The public assistance questions additionally permit research on the effects of the welfare reforms enacted in 1997, providing important information to public officials charged with overseeing the country’s public assistance programs.

In Round 30, NLS plans to continue the use of follow-up questions for respondents who answer “don’t know” or “refuse” to income and asset questions. As described in a report submitted to OMB with the Round 22 clearance package, NLS has tested these follow-up questions to ensure that it obtains the best information possible. Based on this analysis, NLS implemented a hybrid approach beginning in Round 22 and plans to continue using this approach in Round 30. Briefly, respondents who answer an income or asset question with don’t know or refuse are first asked to provide a self-generated range. Respondents who are unable to answer the self-generated intervals question then are asked unfolding bracket questions, where they are asked if the amount is more or less than a specified amount, and then more or less than a second specified amount. These unfolding brackets are a common follow-up approach in major surveys including the Health and Retirement Study. To limit any negative effects from using a hybrid follow-up, NLS skips potentially uncooperative respondents (for example, those giving at least one refusal in the income and asset section) past the hybrid follow-up to subsequent refusals.

Housing Insecurity. NLS has added a question in the retirement expectations section to gauge the extent to which respondents perceive that they may be vulnerable to losing their ability to remain in their residence. While this information has direct implications for the individual’s plans for continued work, it is also relevant to broader considerations of how households respond to housing instability. Given the widely reported adverse conditions in the U.S. housing market during the coronavirus pandemic, it is important from a policy standpoint to learn about the characteristics of people facing such instability, as well as about its repercussions over time that can be tracked in a longitudinal study.

Menopause. The NLSY79 will ask a brief set of questions in order to date the onset of menopause. These questions are useful in research on fertility. Similar questions were asked in the NLS Young Women.

Cigarette and Alcohol Use. Questions on smoking ask whether the respondent has smoked more than 100 cigarettes in his or her life, the age the respondent began smoking daily, whether the respondent now smokes daily, the age when the respondent quit smoking, and the number of cigarettes smoked per day. These questions have been asked in several previous rounds of the survey with very low nonresponse rates.

The survey also will include a series of four questions asking whether the respondent drank alcohol in the past 30 days, the number of days on which alcohol was consumed, the average number of drinks per day, and the number of days on which the respondent consumed 6 or more drinks (an indication of alcohol abuse). These questions are important for both economic and social research. Economists are interested in the impact that alcohol use and abuse may have on employment and earnings (for example, Dooley and Prause 1998; Kenkel and Wang 1998). Sociologists and public health researchers can use alcohol data, along with the other information collected, to examine the social and psychological impact of alcohol use and abuse.

The set of alcohol questions has been asked previously in identical or similar form (the time reference period was different in the early surveys) in 1982–85, 1988, 1989, 1992, 1994, 2002, 2006, 2008, 2010, 2012, 2014, and 2016. In the earlier surveys, the questions were generally part of a longer series on alcohol use and abuse. No difficulties were encountered with these longer series in past rounds, and nonresponse is very low. For example, for the set of four questions being included this round, the largest number of respondents who refused or answered “don’t know” in 2010 was 18. No problems were experienced in Rounds 22-29 with the shorter and less intrusive set of questions, and none are expected in Round 30.

Religion. Questions about religious beliefs ask the respondents about their present religion and how often they attend religious services. They are also asked whether they consider themselves to be evangelical and how important religion is to them. Religion questions were last asked in Round 25. Users have asked NLS to re-field questions pertaining to religion to inform research on changing religious affiliation and church attendance over the life-course—a request that is consistent with the original design plan to re-field these questions on an occasional basis. Religion can be a factor in studying the quality of parent-child interactions, child health, child delinquency, and child socio-emotional outcomes. Religion can affect fertility decisions, family formation, job choice, and educational outcomes. How important religion is to the respondent could help provide a measure of engagement and health, as people move into later life.

12. Provide estimates of the hour burden of the collection of information. The statement should:

• Indicate the number of respondents, frequency of response, annual hour burden, and an explanation of how the burden was estimated. Unless directed to do so, agencies should not conduct special surveys to obtain information on which to base hour burden estimates. Consultation with a sample (fewer than 10) of potential respondents is desirable. If the hour burden on respondents is expected to vary widely because of differences in activity, size, or complexity, show the range of estimated hour burden, and explain the reasons for the variance. General, estimates should not include burden hours for customary and usual business practices.

• If this request for approval covers more than one form, provide separate hour burden estimates for each form

• Provide estimates of annualized cost to respondents for the hour burdens for collections of information, identifying and using appropriate wage rate categories. The cost of contracting out or paying outside parties for information collection activities should not be included here. Instead, this cost should be included in Item 14.

NLS estimates that the main NLSY79 interview will be administered to approximately 6,355 respondents, with an average response time of about 69 minutes per respondent.

The time required to finish an interview varies in the sample. While women with young children take longer to answer the fertility and childcare questions, men are asked more questions about employment because they tend to hold more jobs. The data show the standard deviation of interview time for the main survey is around 25 minutes.

During the field period, less than 100 interviews may be validated to ascertain whether the interview took place as the interviewer reported and whether the interview was done in a polite and professional manner. These reinterviews average about 6 minutes each. As mentioned earlier, NLS employs a number of analytical techniques in order to limit the number of validation interviews required and to target these interviews to the respondents most likely to have had a problematic experience.

Table 9. Estimated Annualized Respondent Cost and Hour Burden

Activity	No. of Respon-dents	No. of Respon-ses per Respon-dent	Total Responses	Average Burden (Hours)	Total Burden (Hours)	Hourly Wage Rate	Total Burden Cost
NLSY79 Round 30 Main Survey	6,355	1	6,355	1.15 (69 minutes)	7,308.25	$7.25	$52,985
Round 30 Validation Interviews	100	1	100	0.1 (6 minutes)	10	$7.25	$73
TOTALS*	6,355**		6,455		7,318 (rounded)		$53,058

* The difference between the total number of respondents (6,355) and the total number of responses (6,455) reflects the fact that about 100 respondents will be interviewed twice, once in the main survey and a second time in the 6-minute validation interview.

** Not cumulative

The total response burden for the survey is 7,318 hours. The total annualized cost to respondents, based on burden hours and the Federal minimum wage of $7.25 per hour, is $53,058, rounded to the nearest dollar.

13. Provide an estimate of the total annual cost burden to respondents or recordkeepers resulting from the collection of information. (Do not include the cost of any hour burden shown in Items 12 and 14).

• The cost estimate should be split into two components: (a) a total capital and start up cost component (annualized over its expected useful life); and (b) a total operation and maintenance and purchase of service component. The estimates should take into account costs associated with generating, maintaining, and disclosing or providing the information. Include descriptions of methods used to estimate major cost factors including system and technology acquisition, expected useful life of capital equipment, the discount rate(s), and the time period over which costs will be incurred. Capital and start-up costs include, among other items, preparations for collecting information such as purchasing computers and software; monitoring, sampling, drilling and testing equipment; and record storage facilities.

• If cost estimates are expected to vary widely, agencies should present ranges of cost burdens and explain the reasons for the variance. The cost of purchasing or contracting out information collection services should be a part of this cost burden estimate. In developing cost burden estimates, agencies may consult with a sample of respondents (fewer than 10), utilize the 60-day pre-OMB submission public comment process and use existing economic or regulatory impact analysis associated with the rulemaking containing the information collection, as appropriate.

• Generally, estimates should not include purchases of equipment or services, or portions thereof, made: (1) prior to October 1, 1995, (2) to achieve regulatory compliance with requirements not associated with the information collection, (3) for reasons other than to provide information or keep records for the government, or (4) as part of customary and usual business or private practices.

Respondents for this survey will not incur any capital and start-up costs; respondents also will not incur any operation, maintenance, or purchase-of-service costs. There are no additional costs to respondents other than their time.

14. Provide estimates of the annualized cost to the Federal Government. Also, provide a description of the method used to estimate cost, which should include quantification of hours, operational expenses (such as equipment, overhead, printing, and support staff), any other expense that would not have been incurred without this collection of information. Agencies also may aggregate cost estimates from Items 12, 13, and 14 into a single table.

The estimated annual cost for the main NLSY79 is $7 million. This cost includes survey management, questionnaire design, instrument development, pretest and main data collection including incentive payments, cleaning and preparation of data files for users, and services to users of the data files.

15. Explain the reasons for any program changes or adjustments.

The estimated total respondent burden of 7,318 hours for Round 30 is lower than the estimated burden of 14,695 hours for Round 29. This change reflects, in large part, the discontinuation of the NLSY79 Young Adult Survey, which entailed a burden of 6,022 hours in Round 29. NLS also estimates the time for the main questionnaire to take 69 minutes this round rather than the 74 minutes of Round 29. NLS made several changes to questionnaire that will decrease the interview length, including dropping the cognition battery and the section on pensions, disability, support, and various types of expected income. NLS also added several questions that ask about religion, employer characteristics, perceived discrimination, nutrition and exercise, and loneliness. Finally, NLS expects a smaller number of interviews for Round 30 compared to those projected for Round 29. NLS is anticipating 395 fewer interviews for the Main Youth in Round 29. NLS expects 185 respondents to be newly deceased between Rounds 29 and 30 and another 100 to attrit from the survey, while NLS hopes to recover half (110) of its 220-respondent shortfall from projections in the pandemic-influenced Round 29. See Attachment 5 for a description of questionnaire changes.

16. For collections of information whose results will be published, outline plans for tabulations, and publication. Address any complex analytical techniques that will be used. Provide the time schedule for the entire project, including beginning and ending dates of the collection of information, completion of report, publication dates, and other actions.

Following transmittal of the survey data from NORC to CHRR, staff at CHRR spend approximately 14 months cleaning the data and preparing a main NLSY79 public-use data file. The expected timing of these events is as follows:

Main NLSY79 Interviews	September 2022–November 2023
Data Cleaning and Coding	November 2023– February 2025
Public-Use Data File Preparation	March 2025 – December 2025
Release of Main NLSY79 Public-Use Data File	January 2026

17. If seeking approval to not display the expiration date for OMB approval of the information collection, explain the reasons that display would be inappropriate.

The OMB number and expiration date will be provided in the advance letter.

18. Explain each exception to the certification statement.

NLS does not have any exceptions to the “Certificate for Paperwork Reduction Act Submissions” statement.

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