2015-2017 Supporting Statement - Part B

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Business R&D and Innovation Survey

OMB: 0607-0912

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Supporting Statement – Part B

U.S. Department of Commerce

U.S. Census Bureau

Business R&D and Innovation Survey

(Forms BRDI-1 and BRD-1(S))

OMB Control No. 0607-0912


  1. Collection of Information Employing Statistical Methods


1. Description of the Universe and Respondent Selection


The sample frame consists of a list of about 2 million company records that are created by aggregating data from establishment records contained on the Census Bureau’s Business Register. The companies represented on the sample frame are located in the United States, are large enough to conduct research and development, are primarily composed of for-profit entities, are within the scope of the survey based on the North American Industry Classification System (NAICS), and are in business at the end of the year prior to the survey year. Each company record on the sample frame is assigned a 6-digit NAICS code, regardless of the number of business activities the company conducts.


A probability sample of approximately 45,000 companies will be selected annually during the clearance period to represent the approximately 2 million companies on the sample frame. Based on the results of the cognitive testing of the draft questionnaires and instructions, we do not expect a large drop in the overall response rate for the 2015-2017 Surveys. For the 2013 Survey, the overall response rate was about 74%.


2. Procedures for Collection of Information


Statistical Methodology for Stratification and Sample Selection


The sample design takes advantage of several pieces of information concerning the conduct of R&D. They are (1) reported and imputed R&D information in the Survey over the past 5 years, (2) R&D information from the Company Organization Survey (COS) and the Internal Revenue Service that is extracted from the Census Bureau’s Business Register, (3) R&D information from online financial databases (4) R&D information from the Bureau of Economic Analysis, and (5) R&D information from various trade associations. It is estimated that about 3 percent of all U.S. companies have R&D expenses, so additional information about R&D reporting is used to make the sample design more efficient.


The sample frame of approximately 2 million companies is first partitioned into three groups. Group 1 consists of companies where the status of R&D is known to be positive from the pieces of R&D information given above. Group 2 consists of companies where the status of R&D is known to be zero from the pieces of R&D information given above. Group 3 consists of companies where the status of R&D is unknown. Table 1 provides approximate sample frame counts by group based on information from the 2014 Survey.


Table 1 – Approximate Sample Frame Counts by Group

Group/Category

Number of Company Records

Group 1 – Known Positive R&D status

35,000

Group 2 – Known Zero R&D status

70,000

Group 3 – Unknown R&D status

1,867,000

TOTAL

1,972,000


After the three groups are formed, the sample frame is stratified and companies to be selected with certainty are identified. Groups 1 and 3 are stratified by industry category that reflects the detail expected for the published estimates, but Group 2 is its own stratum and is not further stratified by industry category. An independent probability sample is then selected within each group and industry stratum, using constraints on the coefficient of variation achieved on estimated totals to allocate the target sample size of about 45,000 companies to the strata. In addition, we incorporate constraints on the minimum probability of selection to limit the size of the sample weights.


Estimation Procedure


For a majority of the estimates, an adjusted Horvitz-Thompson (H-T) estimator and variance is computed. For the adjusted H-T estimator, an individual company’s data is weighted, and the weights are based on the product of two component weights. The first component weight is the sample weight, which is the reciprocal of the given company’s probability of being selected in the sample. The second component weight is the unit nonresponse adjustment factor, which is applied to reported or imputed data for the given company. Then, the weighted company data are aggregated to produce estimated totals.



3. Methods to Maximize Response and Account for Nonresponse


Use of Multiple Modes – Sampled companies have the option to respond either via the web or mail.


Mandatory Reporting Requirement – Title 13, USC, requires businesses and other organizations that receive the questionnaire to answer the questions and return the report to the Census Bureau, which protects the confidentiality of the survey responses.


Follow-up procedures - Form BRDI-1 companies will continue to have 60 days to report. Follow-up letters will be sent in June and August. The second follow-up package sent in August will include a duplicate form. In addition, Census Bureau staff will telephone companies among the largest R&D performers that have not returned a survey form or requested a filing time extension rather than send the second and third notice. These companies account for as much as 85 percent of the value of the data and their responses are critical for the completeness of the estimates. Form BRDI-1(S) companies that do not respond within 30 days are sent follow-up letters in March, May, and July (or until a response is received). The July mail follow-up package will include a duplicate form.


Estimating for missing data – Unit nonresponse is handled by adjusting weighted reported and imputed data. Item nonresponse for a given company is handled by imputation, which is primarily based on three different methods – (1) direct substitution of data from the company’s annual Form 10-K report, if the company is publicly traded, or administrative data for the company; (2) ratio imputation using the company’s survey data for both current and prior year; and (3) ratio imputation using current-year survey data from both the company and other companies, which reported both the survey item being imputed for the company, as well as the other survey item used in the ratio.


Survey form redesign for improved response – Both survey questionnaires and the accompanying instructions were previously redesigned in 2008. Results from the 2008 – 2012 survey cycles, as well as debriefing interviews conducted with respondents, were used to develop the 2013 BRDI-1(S), which was designed to reduce respondent burden and improve response to the survey. The 2015– 2017 BRDIS cycles will continue to use the BRDI-1(S).

4. Tests of Procedures or Methods


The NSF and the Census Bureau annually conduct debriefings with survey respondents to assess the effectiveness of current question wording, instructions, and tools. In the event that these debriefings or other respondent feedback suggest the need for substantive changes to survey questions, any such changes will be cognitively tested with respondents prior to implementation.


5. Contacts for Statistical Aspects and Data Collection


Persons responsible for sample design and selection:


Amy M. Newman-Smith, Methodology Director for Manufacturing, Mining, and Construction

Economic Statistical Methods Division

U.S. Census Bureau

(301) 763-6595

(301) 763-4718 (FAX)

[email protected]


David L. Kinyon, Mathematical Statistician

Economic Statistical Methods Division

U.S. Census Bureau

(301) 763-7209

(301) 763-4718 (FAX)

[email protected]


Jock Black, Mathematical Statistician

National Center for Science and Engineering Statistics

National Science Foundation

(703) 292-7802

(703) 292-9092 (FAX)

[email protected]


Persons responsible for data collection:


Richard S. Hough, Assistant Division Chief

R&D and Special Surveys

Economic Reimbursable Surveys Division

U.S. Census Bureau

(301) 763-4823

(301) 763-4718 (FAX)

[email protected]


Michael Flaherty, Chief

Research, Development, and Innovation Surveys Branch

Economic Reimbursable Surveys Division

U.S. Census Bureau

(301) 763-7699

(301) 763-4718 (FAX)

[email protected]


Persons responsible for analysis of the statistics and publication:


Raymond M. Wolfe, Senior Analyst

Research and Development Statistics Program

National Center for Science and Engineering Statistics

National Science Foundation

(703) 292-7789

(703) 292-9091 (FAX)

[email protected]


John E. Jankowski, Program Director

Research and Development Statistics Program

National Center for Science and Engineering Statistics

National Science Foundation

(703) 292-7781

(703) 292-9091 (FAX)

[email protected]




Attachments


  1. Letters and Flyers

    1. BRDI-1 Initial Letter

    2. BRDI-1(S) Initial Letter_ Form Included

    3. BRDI-1(S) Initial Letter_ No Form Included

    4. BRDI-1 Non-Response Letter #1

    5. BRDI-1 Non-Response Letter #2

    6. BRDI-1(S) Non-Response Letter #1

    7. BRDI-1(S) Non-Response Letter #2

    8. BRDI-1(S) Non-Response Letter #3

    9. BRDI-1(S) Threshold Letter

    10. BRDI-1 Flyer_ No Form Included

    11. BRDI-1(S) Flyer_ Form Included

    12. BRDI-1(S) Flyer_ No Form Included

    13. BRDI-1 Pre-Survey Letter

  2. BRDI_1 Questionnaire

  3. BRDI-1 (S) Questionnaire

  4. BRDI Electronic Instrument Mandatory Authority Screenshot

  5. BRDI Business Help Site Screenshot

  6. BRDI Electronic Instrument Burden Statement and OMB Approval Notice Screenshot

  7. BRDI Advance Information



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