1205-0245 Supporting Statement Part B

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UI Benefit Accuracy Measurement Program

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Supporting Statement B



Collection of Information Employing Statistical Methods


1. Describe (including a numerical estimate) the potential respondent universe and any sampling or other respondent selection methods to be used. Data on the number of entities (e.g., establishments, State and local government units, households, or persons) in the universe covered by the collection and in the corresponding sample are to be provided in tabular form for the universe as a whole and for each of the strata in the proposed sample. Indicate expected response rates for the collection as a whole. If the collection had been conducted previously, include the actual response rate achieved during the last collection.


a. Respondent Universe. The respondent universe for paid and denied claims comprises fifty-two State Workforce Agencies (SWAs), claimants, employers, and third parties. Within each SWA, the universe for paid claims is defined as all intrastate and interstate weeks paid (or offset) in the State Unemployment Insurance (UI), Unemployment Compensation for Federal Employees (UCFE), and Unemployment Compensation for Ex-servicemembers (UCX) programs. For denied claims, each SWA defines three universes of formal, documented denial decisions or determinations of ineligibility for benefits. These denial decisions are based on (a) monetary issues; (b) separation issues; and (c) nonseparation, or "continuing eligibility" issues.


  1. Sampling Methodology.


BAM Paid Claims


SWAs select systematic random samples of paid UI claims each week and use the results of the BAM paid claims investigations to estimate accurately the number and dollar value of proper and improper payments (overpayments, unknown payments, and underpayments), and their rates of occurrence. BAM paid claims also provides information that can be used for program improvement, including the type of payment error, error cause, responsible party, point of detection within the system, and the actions of claimants, employers, and agencies prior to the BAM investigation.


The Department has supplied each SWA with software that performs quality assurance edits of the sampling frames and randomly selects the BAM paid claims samples.1 Each week a random sample is selected of both intrastate and interstate original payments (including combined wage claims) made for a week of unemployment under the State UI, UCX or UCFE programs. A minimum sample of 360 cases per year is pulled in the ten states with the smallest UI program workloads (defined as average annual UI weeks paid during the most recent five calendar years) and a minimum sample of 480 cases per year in the other states. State BAM staff audit each selected claim, examining all aspects of a claimant's eligibility to receive unemployment compensation during the sampled week. In their investigation, staff verify wages used to establish monetary entitlements, the claimant's reason for being unemployed, efforts to find work, availability for work, during the week and any other factors which would have affected the claimant’s entitlement to a benefit during the sampled week or the amount of the benefit paid. Effective January 2008, paid claims selected for BAM must be matched with the National Directory of New Hires. The findings are then coded and entered into a database that is maintained on a computer located in each SWA. The Department uploads state BAM results (excluding the claimant Social Security Number and other personally identifying information) to a database maintained by the ETA Office of Unemployment Insurance. The Department publishes annual performance results and uses the data for various analytical and evaluative purposes.


BAM Denied Claims


Each week, SWAs select systematic random samples from the three separate sampling frames constructed from the universes of claims for UI for which eligibility was denied for monetary, separation, or nonseparation reasons. Samples are selected using the same sampling frame edit and sample selection software used for paid claims. The Department estimates the accuracy of decisions to deny claimants UI, based on the results of the case investigations for these samples.


Investigation of BAM denied claims follows the paid claims case investigation methodology. It evaluates denials accuracy by investigating random samples of each of the three types of denials. All states sample a minimum of 150 cases of each type of denial in each calendar year. State BAM staff review agency records and contact claimants, employers, and all other relevant parties to verify information in agency records or obtain additional information pertinent to the determination that denies eligibility. Unlike the investigation of paid claims, in which all prior determinations affecting claimant eligibility for the compensated week selected for the sample are evaluated, the investigation of denied claims is limited to the type of issue upon which the denial determination is based.


The Department distributes a table of random start numbers to use with the BAM paid and denied claims sample selection software. A separate random number is provided for each sample pull (paid claims, monetary denials, separation denials, nonseparation denials) for each of the 52 weekly samples.


Scope: Both paid and denied intrastate and interstate liable claims in the State UI, UCFE, and UCX programs are included in the sampling frames. Paid and denied interstate claims are included in the sampling frames of the interstate liable state. The “liable” state is the state which pays the UI benefits (that is, that state’s Unemployment Trust Fund is charged). The “agent” state is the state that processes the UI claim.


Operational Definitions of Sampling Frames: Unless otherwise stated, definitions refer to those used in ET Handbook 401, 5th edition. ETA report cell references are those used in ET Handbook 402, 5th edition.


(1) Paid Weeks


Include only paid or compensated weeks that fall into all of the following: a) regular program type (UI, UCFE, UCX, or any combination thereof), b) weeks for which the payments/offsets2 are original payments (defined as the first valid payment/offset made by a state agency to a claimant for that week; offsets would normally recover overpayments established for previous weeks), c) weeks for which “total” or “part-total” payments/offsets are made, and d) weeks for which payments/offsets/intercepted payments are made to intrastate claimants, to interstate claimants by the liable state, or for combined wage claims.


Exclude weeks that all waiting weeks, weeks for which supplemental payments are made, weeks with stop payments, and all weeks paid under the Short Time Compensation (STC) [Workshare], Extended Benefits (EB), Trade Readjustment Allowance (TRA), Disaster Unemployment Assistance (DUA) programs, any temporary Federal-State supplemental compensation programs, or other special programs, such as Emergency Unemployment Compensation (including CARES Act programs).


(2) Monetary Denials


Include all initial claims that meet the definition for inclusion in the ETA 5159 Claims and Activities report on lines 101 (State UI), 102 (UCFE, No UI), and 103 (UCX only), for item 2 (new intrastate, excluding transitional), item 6 (transitional), and item 7 (interstate received as liable state) and for which eligibility was denied because of:


Insufficient wages,

Insufficient hours/weeks/days,

Failure of high quarter wage test,

Requalification wage requirement, or

Other state monetary eligibility requirement


Exclude denied claims made under the Short Time Compensation (STC) (Workshare), Extended Benefits (EB), Trade Readjustment Allowance (TRA), Disaster Unemployment Assistance (DUA), or any temporary Federal-State supplemental compensation programs including CARES Act programs.


(3) Separation Denials


Include all separation determinations that meet the definition for inclusion in the ETA 9052 Nonmonetary Determinations Time Lapse (Detection Date) report in cells c1 (intrastate), c5 (interstate), and c193 (multi-claimant) and for which eligibility was denied based on any of the following issues:



Voluntary quit (either personal or work connected),

Discharge,

Labor dispute, or

Other separation issue reportable under definitions in ET Handbook 401


Exclude denied claims made under the STC, EB, TRA, DUA, or any temporary Federal-State supplemental compensation programs.


(4) Nonmonetary-Nonseparation Denials


Include all nonmonetary-nonseparation determinations that meet the definition for inclusion in the ETA 9052 Nonmonetary Determinations Time Lapse (Detection Date) report in cells c97 (intrastate), c101 (interstate), and c193 (multi-claimant) and for which eligibility was denied based on any of the following issues:


Able and/or available to work,

Actively seeking work,

Disqualifying/unreported income,

Refusal of suitable work or offer of job referral,

Refusal of referral to profiling services,

Failure to report,

Failure to register with the employment service,

Identity theft/fraud, or

Other nonseparation eligibility issue (for example, alien status, athlete, school employee, seasonality, removal of disqualification, and determination of whether claimant’s activities or status constitutes service or employment).


Exclude denied claims made under the STC, EB, TRA, DUA, or any temporary Federal-State supplemental compensation programs including CARES act programs.


Frequency and Timing:


SWAs create a sampling frame file each week for all four universes. For paid claims, the survey population is selected from all weeks for which payments are made or offsets applied during a period that begins at 12:00 a.m. on Sunday and ends at 11:59 p.m. on Saturday. This interval is defined by the run time(s) of the computer programs that issue the checks or apply offsets.


The sampling frame for separation and nonseparation denied claims includes all decisions to deny UI claims issued during the period 12:00 a.m. Sunday to 11:59 p.m. Saturday. The date of the determination is the date printed on the determination notice. If no notice is issued, it is the date that the denial action was entered into the agency’s record system or that a permanent stop payment order was issued.


The sampling frame for monetary denied claims is constructed slightly differently as it is possible that a UI claim may initially be denied for insufficient wages but subsequently become monetarily eligible upon the addition of wages from out-of-state employers (combined wage claims), Federal wages (UCFE and/or UCX programs), or as a result of the application of alternate base period formulas. In order to allow time for SWAs to request and receive Federal, out of state, and recently earned wage credits, the sampling frame for monetary denials is constructed two weeks after the week ending date of the initial claim. For example, the sampling frame for batch 202410 (March 3 - 9, 2024) will consist of new initial and transitional claims filed on or before February 24 for which the most recent determination issued between February 18 and March 10 denies monetary eligibility.


c. Case Investigation. BAM paid and denied claims case investigations are conducted according to the methods and procedures documented in ET Handbook 395; case investigation procedures for both paid and denied claims are described in detail in chapter VI, except as noted in chapter VIII for denied claims investigations. The information that is collected is specified in the data collection instruments (DCIs) for both paid and denied claims.


BAM investigators collect DCI information from SWA records, claimant questionnaires, and interviews with employers and other. The parties with information relevant to the paid or denied claim. The investigator then records this information in an automated database, which consists of individual data records for each sampled paid claim and denial.


All paid and denied claims investigations involve one state investigator and one claimant. The person whose claim was either paid or denied is contacted in-person, by telephone, or by mail including email or other electronic method.


BAM investigators obtain Information from employers (and their representatives) and "third parties" -- persons other than the claimant or employer, such as a doctor, school, or labor union, who possess information pertinent to the paid or denied case.


Unlike the investigation of paid claims, in which all decisions affecting claimant eligibility that precede the compensated week selected for the sample are evaluated, the investigation of denied claims is limited to the issue type upon which the denial decision was based. For example, if a continued week claim is denied because the agency determined the claimant was not available for work, then only the availability issue will be investigated. The monetary, separation and any other nonmonetary determinations which could have affected eligibility for the week claimed will not be investigated. SWAs have the flexibility to conduct the investigation of both paid denied claims for UI by in-person interview, telephone, mail, email, other electronic means, or fax, as they deem appropriate.


2. Describe the procedures for the collection of information including:


a. Stratification and Sample Selection. For both paid and denied claims, each state’s sample is stratified by week (which BAM refers to as a batch). For denied claims, samples are selected from sampling frames for each of the three types of denials (monetary, separation, and nonseparation). Systematic samples are selected weekly using software and random start numbers provided by the Department. The Payment Integrity Information Act (PIIA) of 2019 estimates are weighted to reflect the sample stratification. The formulae used to produce weighted estimates for paid and denied claims accuracy rates are in Attachment B-1.


b. Estimation Procedure. See Attachment B-1 for the formulae used to estimate paid and denied claims accuracy rates and sampling variances.


c. Degree of Accuracy Needed. The Department has adopted a standard for data publication that the 95% confidence interval (roughly two times the standard error of estimate) will be estimated and displayed for each estimated accuracy rate. Attachment B-2 displays the estimated rates and sampling errors for the 2023 reporting year. The PIIAshows different perspectives of results for BAM paid claims with the following types of overpayments:


Overpayment Rate - The overpayment rate is defined in UIPL No. 09-13, Change 1. It is the total weighted amount of payments determined to be overpaid divided by the weighted dollar amount paid in the BAM sample population. The rate includes fraud, nonfraud recoverable, and nonfraud nonrecoverable overpayments. It excludes payments that are technically proper due to finality, warnings issued for the failure to conduct an active search for work, or due to rules other than finality. All causes and responsible parties are included in this rate.


Underpayment Rate – The underpayment rate is defined in UIPL No. 9-13 Change 1. It is the total weighted amount of payments determined to be underpaid divided by the weighted dollar amount paid in the BAM sample population. All causes and responsible parties are included in this rate. It includes errors where additional payment is made to the claimant. It excludes those errors that are technically proper due to finality rules or technically proper due to rules other than finality.


Improper Payment Rate – This rate includes UI benefits overpaid plus UI benefits underpaid divided by the total amount of UI benefits paid. Overpayments, underpayments, and total UI benefits paid are estimated from the BAM survey results of paid UI claims in the state UI, UCFE, and UCX programs. Overpayments and underpayments determined to be technically proper under state UI law for finality and other reasons are excluded from the measure.


Agency Responsibility Rate - This rate includes overpayments for which the SWA was either solely responsible or shared responsibility with claimants, employers, or third parties, such as labor unions or private employment referral agencies. The rate includes fraud, nonfraud recoverable overpayments, and nonfraud nonrecoverable overpayments. It excludes payments that are technically proper due to finality or other rules.


Fraud Rate - The definition of unemployment compensation (UC) fraud varies from state to state – there is no federal definition of fraud in the UC program. Generally, fraud involves a knowing and willful act and/or concealment of material facts to obtain or increase benefits when benefits are not due. States vary on the level of evidence required to demonstrate a knowing and willful act or the concealment of facts. An overpayment which is classified as a fraud overpayment in one state might be determined to be a nonfraud overpayment in another state. Often fraud determinations include looking at a pattern of action or the claimant’s certification of erroneous information under the penalty of perjury. Also states differ on the implementing fraud administrative penalty determinations. In some states, a fraud determination becomes effective on the date of the fraudulent act. In other states, the administrative penalty takes effect on the determination date. Since fraud determination criteria and thresholds vary throughout the SWAs, the individual state rates reflect these differences. The rate includes all causes and responsible parties.



Attachment B-3 displays the estimated rates and sampling errors for PIIA 2023 BAM denied claims results for monetary, separation, and nonseparation issues. Improper Denial Rates - BAM estimates the percentage of claimants improperly denied benefits. This rate includes three subcategories. These subcategories are monetary denials, separation denials, and nonseparation denials. The BAM program does not assign a dollar estimate to improper denial rates; however, improper denials are corrected when permitted by law.


d. Unusual problems requiring specialized sampling procedures. BAM paid and denied claims does not involve any unusual problems requiring specialized sampling procedures.


e. Use of periodic data collection to reduce burden. Less frequent data collection cycles would not be an appropriate means for reducing burden. This issue is addressed in Part A of the Justification, section A-6. To make reliable estimates of accuracy in a highly seasonal program such as UI, sampling must occur continuously. BAM paid and denied claims samples are drawn weekly. The continuous investigation of these samples, with regular data entry, also provides up-to-date information on accuracy to facilitate continuous improvement. Because the samples are weekly, they can be aggregated over various time periods for analytical purposes.


3. Describe methods to maximize response rates and to deal with issues of non-response. The accuracy and reliability of information collected must be shown to be adequate for intended uses. For collections based on sampling, a special justification must be provided for any collection that will not yield "reliable" data that can be generalized to the universe studied.


Because claimants are required to provide information concerning their continued eligibility for UI benefits, nonresponse to the BAM claimant questionnaire can affect eligibility for benefit payments. The response rate for claimant contacts (that is, the percentage of claimant questionnaires completed) for BAM paid claims is approximately 18,819or 80.735 percent of the completed cases. It is more difficult to obtain a complete questionnaire from claimants who were denied benefits. Some of these individuals have returned to work or have relocated and are unavailable for interview.


Even if claimant information cannot be obtained directly, BAM investigators can obtain sufficient information from SWA records, and other relevant parties in order to reach an informed decision concerning the accuracy of the decision to deny benefits. The BAM investigators verify all information provided by UI recipients or obtained from automated file systems and other agency records. They contact all employers for whom the claimant worked before becoming unemployed or who provided part-time work during the claims series or were contacted in job search, as well as interested third parties, such as labor unions or employment agencies. The table below shows the number of cases with errors and the percentage of cases where improper payments were determined through either claimant response or non-response. Note that because BAM program staff are able to gather information from multiple sources such as claimants, employers and third parties to complete their investigations, claimant non-response does not significantly impact payment accuracy assessments nationally.

BAM Case Error Rates By Claimant Responsiveness

July 1, 2022 through June 30, 2023 (Batch Range 202227 through 202326)

 

 

Number

Percent

# Cases

Percent

ST

Claimant

Cases in

Response

With

cases

 

Response

Sample

Rates

Errors*

Improper*

US

Responded

18,819

80.73%

2,626

13.95%

US

Nonresponse

4,492

19.27%

1,125

25.04%

US

Total Cases

23,311

100.00%

3,751

38.99%

* Overpayment Cause Counts and Percentages may reflect more than one payment error on a given case completed


In PIIA 2023, although the percentage of claimant questionnaires completed varied considerably by sample type, states were able to complete nearly all of their cases based on agency documentation, employer, and third party information. The following table summarizes claimant response by data collection method. Attachment B-4 displays the response rates for the PIIA 2023 BAM paid claims samples, and Attachment B-5 displays the response rates for the PIIA 2023 BAM denied claims samples.


PIIA 2023-- BAM Case Completion and Percent of Claimant Interview Method

Sample Type

Cases Sampled

Valid Cases*

Cases Complete

**

Percent Complete

In-Person

Tele-Phone

Mail

No Clmnt. Inter.

Paid Claims

23,919

23,869

23,111

96.82%

0.60%

33.66%

46.47%

19.27%

Monetary

8,034

7,687

7,469

97.16%

0.35%

23.70%

18.88%

56.74%

Separation

7,937

7,914

7,719

97.54%

0.44%

27.26%

22.64%

49.35%

Nonseparation

8,020

7,920

7,726

97.55%

0.44%

29.77%

26.38%

43.20%


*Cases sampled minus cases deleted because they did not meet the definition for inclusion in the survey population and denied claims that were withdrawn by the claimant.

**To meet PIIA reporting timetables, the database was frozen on 10/31/2023. The number of valid cases completed is those signed off by the BAM program’s supervisor by the close of business on 10/30/2023.


The Department is acutely aware of the importance of claimant response to the BAM questionnaire and has established a Federal-State workgroup to examine the issue of claimant nonresponse. The Department has drafted an advisory, which is currently in Department clearance, to issue guidance to address the specific issues of adjudicating work search and reporting errors when the claimant fails to respond to the BAM audit questionnaire.


In addition, in order to reduce nonresponse error and maintain coding consistency, the Department will continue to conduct training for BAM supervisors and investigators and hold Federal-State peer reviews of completed BAM audits to ensure that coding accurately reflects state law and policy and that states are following the BAM methodology.


In order to reduce respondent burden and maximize claimant response, the number of data elements collected for DCA is significantly smaller than the amount of data collected for BAM paid claims. Because only information relevant to the monetary, separation, or nonseparation denial issue is verified, the number of data elements per case is one-third or less of the number collected for BAM paid claims, which investigates decisions at all three points in the UI claims process. In addition, SWAs follow up the initial claimant contact with a sufficient number of call-backs and re-contact attempts to demonstrate that a reasonable attempt was made to obtain the information.


SWAs administering the BAM program are encouraged to:


Use all available data collection methods -- in-person, telephone, mail, e-mail, and fax -- to complete their investigations;


Be as flexible as feasible in accommodating the schedules of claimants, employers, and other relevant parties;


Develop clear and concise questionnaires and scripts which clearly explain the purpose of the data collection effort and minimize the time commitment of the respondent. To this end the Department shares examples and prototype case investigation materials in order to disseminate best practices as widely as possible;


Clearly inform the respondents that the privacy of the information they provide will be strictly maintained and that any information that can identify an individual, such as a claimant’s social security number, will not be shared with the Department’s or any other state’s record systems; and


Emphasize to respondents that the major objective of the BAM program is the improvement of the UI system, and that their cooperation will contribute to insuring that individuals who are in fact eligible for UI benefits receive them.


4. Describe any tests of procedures or methods to be undertaken. Testing is encouraged as an effective means of refining collections of information to minimize burden and improve utility. Tests must be approved if they call for answers to identical questions from 10 or more respondents. A proposed test or set of test may be submitted for approval separately or in combination with the main collection of information.


Paid Claims


In 1991 the Department of Labor completed a pilot test of the feasibility and cost-effectiveness of telephone contacts in lieu of in-person interviews with claimants, employers, and third parties. Four states participated in the pilot test, giving a wide range of economic, social and geographical environments. The pilot showed that the telephone was reasonably effective in detecting overpayment and underpayment errors: the patterns of erroneous payments by type and cause were basically the same as detected by the in-person control investigations. Although the rate of dollars overpaid discovered by the two methods in one state was virtually identical, in the other three the telephone estimate was only 60% of the in-person estimate. The pilot showed that the telephone methodology was very effective for certain aspects of BAM investigations, but less so for others. It also showed that BAM investigations could be done considerably less expensively by telephone--at about half the cost, confirming the estimate from a similar pilot project conducted in Idaho in the late 1980s.


Denied Claims


In 1987 the Department completed a five-state pilot test of using the BAM field-check methodology for determining the accuracy of benefit denial decisions. Three different sampling designs were evaluated in the 1986-87 pilot: (1) separate sampling frames for monetary, separation, and nonseparation (continuing eligibility) denials and a single sampling frame for all paid claims; (2) separate sampling frames for denials and decisions to affirm eligibility at the monetary, separation, and nonseparation points of determination in the UI claims process; and (3) a longitudinal approach, in which claimants were sampled at the time that the initial claim was filed, and eligibility determinations (either to deny or affirm eligibility) were investigated as they occurred during the claims process. The 1997-98 DCA pilot was based on model 1, which was the simplest design and preserved the design used for BAM paid claims. As noted in Part A, the Department has relied on results of the 1997-98 DCA pilot to estimate case-completion times and burden hours for national implementation of DCA.


5. Provide the name and telephone number of individuals consulted on statistical aspects of the design and the name of the agency unit, contractor(s), grantee(s), or other person(s) who will actually collect and/or analyze the information for the agency.


The following individual consulted on statistical aspects of the design.

Daniel Sommers, Employment and Training Administration,

Office of Unemployment Insurance

Phone: 202-693-3197, E-mail: [email protected]


The following individual collects and analyzes the paid and denied claims data and may be contacted for further information:


Ross Miller, Employment and Training Administration,

Office of Unemployment Insurance

Phone: 202-693-3178, E-mail: [email protected]



Estimation Procedure for Benefit Accuracy Measurement


BAM Paid Claims


1. Ratio Estimate of Overpayment Rate


The parameter to be estimated, Ro, is the ratio of Unemployment Insurance (UI) benefits overpaid to total UI benefits paid: Ro = Y/X, where Y = Total dollars overpaid in the population and X = Total UI benefits paid in the population.


Ro is estimated by the sample ratio:


ro =


where:


H = Number of batches (weekly samples) in the period for which the estimate is being made.


Nh = Total number of UI payments in the population for batch h. (Note: This value is available from state automated record systems and does not have to be estimated.)


mh = Number of completed sample cases in batch h.


xhi = Amount of UI benefits paid/offset for the ith case in batch h.


yhi = Dollars overpaid for the ith case in batch h.


Nonresponse is assumed to be random.



2. Sampling Variance of Ratio Estimate of Overpayment Rate


The following formula will be used to estimate the sampling variance of the ratio estimate of the BAM paid claims overpayment rate.


(Note: Because the sampling fractions, fh=mh/Nh, are negligible, the term (1-fh) has been omitted from the equations.)


estVar(ro)=


=


where:



is the sample variance of the dollars overpaid;



is the sample variance of the dollars paid/offset; and



is the sample covariance of the dollars overpaid and the dollars paid/offset.


X = Total population dollars paid/offset for the H batches.

(Note: This value is available from state automated record systems and does not have to be estimated.)


3. Ratio Estimate of Overpayment Rate for Subgroups


The parameter to be estimated, Rok, is the ratio of Unemployment Insurance (UI) benefits overpaid to total UI benefits paid for population subgroup k: Rok = Yk/Xk, where Yk=Total dollars overpaid in the population for the kth subgroup and Xk=Total UI benefits paid in the population for the kth subgroup.


Rok is estimated by the sample ratio:


rok =


where:


xhik = Amount of UI benefits paid/offset for the ith case in the kth subgroup in batch h.


xhik = xhi, for hi in the kth subgroup, and

xhik = 0, for hi not in the kth subgroup


yhik = Dollars overpaid for the ith case in the kth subgroup in batch h.


yhik = yhi, for hi in the kth subgroup, and

yhik = 0, for hi not in the kth subgroup


Nonresponse is assumed to be random.



4. Sampling Variance of Ratio Estimate of Overpayment

Rate for Subgroups


The following formula will be used to estimate the sampling variances of the ratio estimate of the overpayment rate for subgroups.


(Note: Because the sampling fractions, fh=mh/Nh, are negligible, the term (1-fh) has been omitted from the equations.)



estVar(rok)=


where:



is the sample variance of the dollars overpaid in the kth subgroup;



is the sample variance of the dollars paid/offset in the kth subgroup; and




is the sample covariance of the dollars overpaid and the dollars paid/offset.



is the estimated total dollars paid/offset for the H batches.


In the preceding formulas,


xhik = xhi, for hi in the kth subgroup, and

xhik = 0, for hi not in the kth subgroup;


yhik = yhi, for hi in the kth subgroup, and

yhik = 0, for hi not in the kth subgroup


xhk = Amount of UI benefits paid/offset in the kth subgroup in the sample in batch h.



5. Ratio Estimate of Proper Payment Rate


The parameter to be estimated, Rp, is the ratio of Unemployment Insurance (UI) benefits properly paid to total UI benefits paid: Rp = Z/X, where Z = Total dollars properly paid in the population and X = Total UI benefits paid in the population.


Rp is estimated by the sample ratio:


rp =


where H, Nh, mh, and xhi are defined as in 1., above, and


zhi = Dollars properly paid (dollars paid - dollars overpaid) for the ith case in batch h.



6. Sampling Variance of Ratio Estimate of Proper Payment Rate


The following formula will be used to estimate the sampling variance of the ratio estimate of the BAM paid claims proper payment rate.


(Note: Because the sampling fractions, fh=mh/Nh, are negligible, the term (1-fh) has been omitted from the equations.)


estVar(rp) =


where H, Nh, mh, X, and s2xh are defined as in 1. and 2., above;


s2zh is the sample variance of the dollars properly paid; and


szxh is the sample covariance of the dollars properly paid and dollars paid.



7. Ratio Estimate of Proper Payment Rate for Subgroups


The parameter to be estimated, Rpk, is the ratio of Unemployment Insurance (UI) benefits properly paid to total UI benefits paid for population subgroup k: Rpk = Zk/Xk, where Zk=Total dollars properly paid in the population for the kth subgroup and Xk=Total UI benefits paid in the population for the kth subgroup.


Rpk is estimated by the sample ratio rpk which is defined as the estimator rok in section 3, above, except that:


zhik = Dollars properly paid (dollars paid - dollars overpaid) for the ith case in the kth subgroup in batch h.


zhik = zhi, for hi in the kth subgroup, and

zhik = 0, for hi not in the kth subgroup



8. Sampling Variance of Ratio Estimate of Proper Payment

Rate for Subgroups


The following formula will be used to estimate the sampling variances of the ratio estimate of the proper payment rate for subgroups.


(Note: Because the sampling fractions, fh=mh/Nh, are negligible, the term (1-fh) has been omitted from the equations.)


estVar(rpk)=


where H, Nh, mh, , and s2xh(k) are defined as in 1.and 4., above;


s2zh(k) is the sample variance of the dollars properly paid in the kth subgroup; and


szxh(k) is the sample covariance of the dollars properly paid and dollars paid in the kth subgroup.



9. Ratio Estimate of Underpayment Rate


The parameter to be estimated, Ru is the ratio of Unemployment Insurance (UI) benefits underpaid to total UI benefits paid: Ru = U/X, where U = Total dollars underpaid in the population and X = Total UI benefits paid in the population.


Ru is estimated by the sample ratio:


ru=


where H, Nh, mh, and xhi are defined as in 1., above, and


uhi = Dollars underpaid for the ith case in batch h.



10. Sampling Variance of Ratio Estimate of Underpayment Rate


The following formula will be used to estimate the sampling variance of the ratio estimate of the BAM paid claims underpayment rate.


(Note: Because the sampling fractions, fh=mh/Nh, are negligible, the term (1-fh) has been omitted from the equations.)


estVar(ru) =


where H, Nh, mh, X, and s2xh are defined as in 1. and 2., above;


s2uh is the sample variance of the dollars underpaid; and


suxh is the sample covariance of the dollars underpaid and dollars paid.



11. Ratio Estimate of Underpayment Rate for Subgroups


The parameter to be estimated, Ruk, is the ratio of Unemployment Insurance (UI) benefits underpaid to total UI benefits paid for population subgroup k: Ruk = Uk/Xk, where Uk=Total dollars underpaid in the population for the kth subgroup and Xk=Total UI benefits paid in the population for the kth subgroup.


Ruk is estimated by the sample ratio ruk which is defined as the estimator rok in section 3, above, except that:


uhik = Dollars underpaid for the ith case in the kth subgroup in batch h.


uhik = uhi, for hi in the kth subgroup, and

uhik = 0, for hi not in the kth subgroup



12. Sampling Variance of Ratio Estimate of Underpayment

Rate for Subgroups


The following formula will be used to estimate the sampling variances of the ratio estimate of the underpayment rate for subgroups.


(Note: Because the sampling fractions, fh=mh/Nh, are negligible, the term (1-fh) has been omitted from the equations.)


estVar(ruk)=


where H, Nh, mh, , and s2xh(k) are defined as in 1.and 4., above;


s2uh(k) is the sample variance of the dollars underpaid in the kth subgroup; and


suxh(k) is the sample covariance of the dollars underpaid and dollars paid in the kth subgroup.


Confidence Intervals


The 95% confidence interval for any estimated ratio rθ (1, 3, 5, 7, 9, or 11, above) is:




Coefficient of Variation


The coefficient of variation (cv) of an estimate rθ is:




BAM Denied Claims



Equations for Case Error Estimates


The following notation will be used:


H = the number of weeks (batches) in the period for which the estimate is

being made.


Nh = the number of denied claims in week h.


Xh = the number of claims in week h which were erroneously denied.


Ph = Xh/Nh = the proportion of claims in week h which were erroneously

denied.


N = = total number of denied claims in the period.


X = = total number of claims erroneously denied in the period.


The parameter to be estimated, P, is the proportion of claims erroneously denied during the period. Estimates will be made for each of the three denial universes -- monetary, separation, and nonseparation. We wish to estimate:


P = X/N =


Now let


mh = the number of completed sample claims for week h.


m = = total number of completed sample claims in the period.


xh = the number of claims in week h which were erroneously denied.


= proportion of sample claims in week h which were erroneously denied.



If it is assumed that non-response is "at random", then .


It follows that is unbiased for P. Furthermore, as sampling is independent within each week (stratum), it follows that


where fh = mh/Nh. The usual estimator for is


.


If fh is negligible then



can be used for variance estimation.



Proportions for Subgroups

The proportion of denial actions which were incorrectly decided may be estimated for population subgroups, for example UI program (State UI, UCFE, UCX), filing method (in-person, telephone, mail), or demographic classifications.


Building on the notation above, for the kth subgroup and the hth week let


Nhk = the number of denied claims.


Xhk = the number of claims were erroneously denied.


Phk = Xhk/Nhk = the proportion of claims which were erroneously denied.


Then for the kth subgroup we have

Nk = = total number of denied claims in the period.


Xk = = total number of claims erroneously denied in the period.


The parameter to be estimated, Pk, is the proportion of claims erroneously denied during the period for subgroup k. Analogous to previous work, we can write


Pk = Xk/Nk = .


Note that neither Xk nor Nk is known. For the kth subgroup, hth week, let


mhk = the number of completed sample claims for week h.


xhk = the number of claims in week h which were erroneously denied.


Assuming nonresponse is "at random", is unbiased for Xk and is unbiased for Nk. The ratio estimator is approximately unbiased for Pk, and



where fhk = mhk/Nhk and θhk = Nhk/Nh. Assuming that fhk is negligible, an estimate for the variance is given by



where


and



{  .



Confidence Intervals


The 95% confidence interval for any estimate (u) is:





Coefficient of Variation


The coefficient of variation (cv) of an estimate u is:



UI Benefit Integrity Rates Batch Range 202227 through 202326


 

 

 

 

 

 

 

Improper

 

 

 

Agy

 

 

 

Over

OP

Under

UP

Payment

 

Fraud


Resp

 

 

 

Payment

Rate

Payment

Rate

Rate

 

Rate

Agency

Rate

 

 

Amount

Rate*

95% CI

Rate*

95% CI

(OP+UP)

Fraud

95% CI

Responsible

95% CI

ST

Sample

Paid

(a)

+/-

(b)

+/-

(a)+(b)

Rate

+/-

Rate *

+/-

US

23,311

$26,937,521,296

14.348%

0.952%

0.560%

0.131%

14.908%

5.346%

0.690%

3.316%

0.488%

AK

488

$56,441,545

7.139%

2.251%

0.409%

0.250%

7.549%

3.462%

1.599%

0.666%

0.766%

AL

487

$49,952,868

12.686%

3.374%

0.031%

0.033%

12.717%

3.441%

2.064%

1.816%

1.782%

AR

480

$64,180,640

5.258%

1.919%

0.276%

0.225%

5.533%

2.007%

1.309%

1.601%

1.076%

AZ

481

$225,729,177

4.504%

1.888%

0.033%

0.053%

4.537%

2.971%

1.529%

1.538%

1.156%

CA

480

$5,573,215,035

14.750%

3.486%

0.678%

0.454%

15.428%

10.009%

2.851%

3.519%

1.872%

CO

481

$338,885,203

4.576%

1.857%

0.911%

0.554%

5.487%

0.909%

0.857%

1.229%

0.924%

CT

490

$362,266,432

16.719%

3.385%

0.153%

0.127%

16.872%

3.283%

1.685%

2.413%

1.419%

DC

490

$64,672,527

21.711%

3.784%

0.114%

0.185%

21.825%

6.506%

2.361%

3.683%

1.689%

DE

37

$23,121,198

22.082%

16.581%

0.342%

0.737%

22.424%

0.000%

0.000%

14.551%

14.319%

FL

485

$351,159,636

39.174%

4.492%

0.000%

0.000%

39.174%

1.339%

1.072%

34.881%

4.391%

GA

484

$322,164,794

7.413%

2.342%

0.000%

0.000%

7.413%

3.659%

1.724%

1.742%

1.157%

HI

407

$150,268,241

6.411%

2.407%

0.080%

0.114%

6.491%

1.342%

1.019%

1.319%

1.137%

IA

322

$279,864,392

3.871%

1.849%

0.002%

0.005%

3.873%

0.779%

0.853%

1.246%

1.149%

ID

363

$101,547,658

6.418%

2.583%

0.198%

0.295%

6.617%

3.457%

1.850%

0.525%

0.630%

IL

490

$1,643,819,101

9.219%

2.566%

0.924%

0.529%

10.143%

3.687%

1.727%

3.914%

1.778%

IN

491

$229,339,969

8.722%

2.440%

0.037%

0.073%

8.759%

1.616%

0.888%

3.642%

1.658%

KS

465

$101,479,845

15.502%

3.490%

0.283%

0.297%

15.786%

1.393%

1.116%

2.235%

1.487%

KY

504

$132,621,904

21.495%

3.677%

0.898%

0.561%

22.393%

5.444%

2.097%

0.204%

0.239%

LA

491

$101,828,337

16.281%

3.373%

0.004%

0.006%

16.284%

6.664%

2.207%

5.519%

2.047%

MA

439

$1,738,560,024

23.348%

4.366%

1.033%

0.651%

24.380%

10.891%

3.026%

5.904%

2.335%

MD

487

$305,032,730

10.407%

2.955%

0.033%

0.066%

10.441%

2.165%

1.296%

2.532%

1.570%

ME

356

$89,556,584

5.585%

2.501%

0.298%

0.270%

5.884%

2.087%

1.544%

1.741%

1.640%

MI

482

$639,025,986

21.485%

4.115%

0.150%

0.177%

21.635%

2.602%

1.708%

2.688%

1.499%

MN

484

$958,208,258

7.420%

2.323%

0.142%

0.195%

7.563%

3.110%

1.746%

0.364%

0.544%


UI Benefit Integrity Rates Batch Range 202227 through 202326



 

 

 

 

 

 

 

Improper

 

 

 

Agy


 

 

 

Over

OP

Under

UP

Payment

 

Fraud


Resp


 

 

 

Payment

Rate

Payment

Rate

Rate

 

Rate

Agency

Rate


 

 

Amount

Rate*

95% CI

Rate*

95% CI

(OP+UP)

Fraud

95% CI

Responsible

95% CI


ST

Sample

Paid

(a)

+/-

(b)

+/-

(a)+(b)

Rate

+/-

Rate *

+/-


MO

480

$181,028,220

5.471%

2.241%

0.072%

0.095%

5.543%

1.591%

1.179%

0.644%

0.594%


MS

481

$38,369,336

6.817%

2.626%

0.000%

0.000%

6.817%

4.099%

2.144%

0.424%

0.609%


MT

369

$97,574,433

6.772%

3.087%

0.404%

0.370%

7.176%

2.763%

1.990%

1.450%

1.717%


NC

530

$171,178,347

18.546%

3.483%

0.135%

0.253%

18.681%

1.856%

1.119%

0.686%

0.649%


ND

362

$60,965,151

6.755%

3.786%

0.041%

0.059%

6.797%

0.201%

0.408%

0.000%

0.000%


NE

360

$60,727,001

16.256%

3.911%

0.265%

0.363%

16.521%

1.858%

1.289%

4.646%

2.156%


NH

371

$26,924,233

7.155%

2.853%

0.374%

0.277%

7.529%

1.264%

1.125%

1.819%

1.556%


NJ

493

$2,100,389,810

21.029%

3.693%

1.406%

0.558%

22.435%

3.256%

1.619%

0.516%

0.571%


NM

468

$125,741,614

8.794%

2.957%

0.045%

0.055%

8.839%

1.834%

1.411%

1.512%

1.322%


NV

530

$294,777,448

16.691%

3.231%

0.492%

0.480%

17.183%

4.149%

1.683%

5.070%

1.951%


NY

480

$2,527,452,155

16.644%

3.406%

0.722%

0.558%

17.366%

6.971%

2.252%

4.185%

1.859%


OH

480

$684,059,467

8.030%

2.450%

0.421%

0.325%

8.451%

1.502%

0.984%

0.917%

0.836%


OK

506

$172,406,440

10.919%

2.731%

0.305%

0.423%

11.224%

2.096%

1.242%

8.176%

2.406%


OR

480

$568,284,659

10.356%

2.768%

0.830%

0.537%

11.186%

4.543%

1.871%

2.326%

1.363%


PA

482

$1,479,945,992

15.284%

3.421%

0.374%

0.606%

15.658%

9.601%

2.689%

3.925%

1.962%


PR

484

$142,660,874

7.932%

2.441%

0.340%

0.264%

8.273%

3.386%

1.693%

6.860%

2.245%


RI

330

$156,130,225

44.939%

7.574%

0.427%

0.422%

45.366%

6.033%

3.192%

5.334%

2.895%


SC

491

$118,493,243

7.499%

2.274%

0.000%

0.000%

7.499%

1.190%

0.988%

1.825%

1.176%


SD

360

$25,386,200

7.228%

2.799%

0.195%

0.237%

7.424%

1.363%

1.383%

2.172%

1.792%


TN

480

$137,063,260

19.962%

3.611%

0.000%

0.000%

19.962%

4.004%

1.816%

6.300%

2.305%





UI Benefit Integrity Rates Batch Range 202227 through 202326


 

 

 

 

 

 

 

Improper

 

 

 

Agy



 

 

 

Over

OP

Under

UP

Payment

 

Fraud


Resp



 

 

 

Payment

Rate

Payment

Rate

Rate

 

Rate

Agency

Rate



 

 

Amount

Rate*

95% CI

Rate*

95% CI

(OP+UP)

Fraud

95% CI

Responsible

95% CI



ST

Sample

Paid

(a)

+/-

(b)

+/-

(a)+(b)

Rate

+/-

Rate *

+/-



TX

481

$1,805,818,109

7.935%

2.678%

0.053%

0.052%

7.987%

0.302%

0.339%

0.886%

0.967%



UT

481

$194,363,549

3.905%

1.801%

0.062%

0.064%

3.966%

1.468%

1.245%

0.822%

0.877%

VA

505

$200,864,799

20.451%

3.522%

0.161%

0.182%

20.611%

1.954%

1.149%

6.902%

2.204%

VT

360

$54,208,487

7.055%

2.637%

0.179%

0.162%

7.234%

2.014%

1.686%

1.089%

0.820%

WA

472

$1,147,466,807

9.861%

3.083%

0.172%

0.180%

10.034%

0.458%

0.802%

1.770%

1.299%

WI

482

$299,324,808

20.879%

4.035%

0.392%

0.418%

21.272%

2.687%

1.453%

2.747%

1.677%

WV

489

$118,702,586

7.067%

2.375%

0.836%

0.530%

7.903%

1.015%

0.859%

1.609%

1.184%




WY

360

$44,271,959

9.886%

3.153%

0.377%

0.262%

10.263%

2.318%

1.563%

1.532%

1.248%








Denied Claims Accuracy Rates -- PIIA Reporting Year 2023




July 1, 2022 through June 30, 2023




 

 

Sample*

Population

 

 95%

Adjusted

95% 




 

Sample

of denial

of denial

Improper

C.I.

Improper

C.I.




st

Type

Type

Type

Denial

(+/-)

Denial#

(+/-)




US

Monetary

7,469

1,430,307

11.26%

0.78%

9.58%

0.71%




US

Separation

7,719

1,406,929

11.05%

0.65%

9.36%

0.58%




US

Nonseparation

7,726

3,296,361

12.94%

0.69%

10.79%

0.64%




 

 

 

 

 

 

 

 




AK

Monetary

149

2,538

10.21%

4.50%

6.81%

3.62%




AK

Separation

159

7,097

8.15%

3.92%

8.15%

3.92%




AK

Nonseparation

159

24,210

12.11%

5.03%

12.11%

5.03%




 

 

 

 

 

 

 

 




AL

Monetary

158

20,424

20.38%

2.06%

20.38%

2.06%




AL

Separation

158

19,121

3.03%

3.03%

3.03%

3.03%




AL

Nonseparation

157

68,545

4.05%

4.48%

3.68%

4.42%




 

 

 

 

 

 

 

 




AR

Monetary

151

4,783

4.76%

3.18%

3.78%

2.56%




AR

Separation

150

10,808

3.28%

3.31%

2.68%

3.10%




AR

Nonseparation

150

16,003

1.85%

2.15%

1.85%

2.15%




 

 

 

 

 

 

 

 




AZ

Monetary

148

38,421

4.00%

3.57%

3.44%

3.40%




AZ

Separation

151

21,000

12.99%

5.85%

12.99%

5.85%




AZ

Nonseparation

151

25,622

15.15%

5.56%

15.15%

5.56%




 

 

 

 

 

 

 

 




CA

Monetary

134

157,362

25.58%

7.75%

20.33%

7.72%




CA

Separation

136

191,081

23.06%

7.61%

23.06%

7.61%




CA

Nonseparation

128

266,735

36.38%

9.01%

28.07%

8.49%




 

 

 

 

 

 

 

 




CO

Monetary

149

16,108

15.06%

6.05%

14.38%

5.91%




CO

Separation

151

61,684

10.99%

7.46%

8.89%

6.75%




CO

Nonseparation

151

99,966

11.63%

6.41%

11.09%

6.33%




 

 

 

 

 

 

 

 




CT

Monetary

157

9,398

51.09%

9.86%

47.73%

9.77%




CT

Separation

156

19,469

8.67%

4.06%

7.66%

3.55%




CT

Nonseparation

152

52,143

18.07%

6.21%

15.38%

5.78%




 

 

 

 

 

 

 

 




DC

Monetary

145

4,799

29.50%

12.05%

27.64%

11.83%




DC

Separation

159

1,464

10.91%

4.79%

8.17%

4.61%




DC

Nonseparation

159

27,646

7.23%

3.65%

6.42%

3.51%




 

 

 

 

 

 

 

 






Denied Claims Accuracy Rates -- PIIA Reporting Year 2023



July 1, 2022 through June 30, 2023



 

 

Sample*

Population

 

 95%

Adjusted

95% 



 

Sample

of denial

of denial

Improper

C.I.

Improper

C.I.



st

Type

Type

Type

Denial

(+/-)

Denial#

(+/-)



DE

Monetary

9

748

0.00%

0.00%

0.00%

0.00%


DE

Separation

7

583

0.00%

0.00%

0.00%

0.00%


DE

Nonseparation

8

1,051

0.00%

0.00%

0.00%

0.00%


 

 

 

 

 

 

 

 


FL

Monetary

153

41,125

4.38%

4.18%

4.38%

4.18%


FL

Separation

155

4,165

10.80%

5.50%

9.82%

5.29%


FL

Nonseparation

155

32,953

9.45%

7.94%

8.49%

7.93%


 

 

 

 

 

 

 

 


GA

Monetary

146

14,267

34.81%

8.57%

34.81%

8.57%


GA

Separation

152

57,979

2.29%

2.68%

2.29%

2.68%


GA

Nonseparation

153

75,696

0.71%

1.40%

0.71%

1.40%


 

 

 

 

 

 

 

 


HI

Monetary

135

5,561

10.45%

7.88%

10.17%

7.86%


HI

Separation

136

5,371

15.54%

7.18%

11.38%

6.14%


HI

Nonseparation

134

18,651

8.66%

4.84%

8.66%

4.84%


 

 

 

 

 

 

 

 


IA

Monetary

121

6,063

22.30%

7.27%

20.79%

7.29%


IA

Separation

134

13,204

10.70%

4.83%

8.96%

4.57%


IA

Nonseparation

136

22,518

4.31%

3.23%

1.96%

2.22%


 

 

 

 

 

 

 

 


ID

Monetary

150

2,330

6.84%

3.99%

4.23%

3.09%


ID

Separation

153

5,481

4.33%

3.08%

4.33%

3.08%


ID

Nonseparation

153

28,041

10.45%

5.25%

10.45%

5.25%


 

 

 

 

 

 

 

 


IL

Monetary

153

17,461

16.42%

6.52%

13.94%

6.41%


IL

Separation

158

63,861

14.93%

5.53%

8.56%

4.53%


IL

Nonseparation

158

151,310

20.83%

6.72%

19.27%

6.48%


 

 

 

 

 

 

 

 


IN

Monetary

159

60,667

1.38%

1.96%

1.38%

1.96%


IN

Separation

159

39,310

10.98%

4.64%

9.55%

4.42%


IN

Nonseparation

158

120,540

6.51%

3.87%

6.51%

3.87%


 

 

 

 

 

 

 

 


KS

Monetary

137

5,701

7.32%

4.20%

6.27%

3.67%


KS

Separation

144

10,847

6.80%

4.29%

5.16%

3.63%


KS

Nonseparation

141

20,591

8.80%

4.55%

8.39%

4.48%


 

 

 

 

 

 

 

 


KY

Monetary

157

8,812

11.25%

5.27%

5.04%

3.31%


KY

Separation

156

26,595

2.45%

2.43%

2.45%

2.43%


KY

Nonseparation

188

51,102

8.72%

3.88%

7.92%

3.58%


Denied Claims Accuracy Rates -- PIIA Reporting Year 2023


July 1, 2022 through June 30, 2023


 

 

Sample*

Population

 

 95%

Adjusted

95% 


 

Sample

of denial

of denial

Improper

C.I.

Improper

C.I.


St

Type

Type

Type

Denial

(+/-)

Denial#

(+/-)


 

 

 

 

 

 

 

 



LA

Monetary

159

20,503

2.27%

2.24%

2.27%

2.24%



LA

Separation

159

16,800

6.60%

3.87%

4.42%

3.23%



LA

Nonseparation

159

39,974

5.37%

3.66%

2.97%

2.44%



 

 

 

 

 

 

 

 



MA

Monetary

137

182,410

7.49%

2.56%

6.92%

2.47%



MA

Separation

134

29,783

26.47%

9.12%

23.87%

8.82%



MA

Nonseparation

133

101,330

23.78%

8.36%

23.33%

8.31%



 

 

 

 

 

 

 

 



MD

Monetary

144

57,967

19.26%

8.53%

16.72%

8.23%



MD

Separation

145

14,503

12.50%

5.99%

11.39%

5.58%



MD

Nonseparation

148

44,756

3.53%

2.56%

2.96%

2.42%



 

 

 

 

 

 

 

 



ME

Monetary

143

2,542

13.40%

5.03%

11.11%

5.04%



ME

Separation

145

4,520

6.99%

4.30%

2.78%

2.50%



ME

Nonseparation

146

12,530

12.27%

4.98%

11.87%

4.95%



 

 

 

 

 

 

 

 



MI

Monetary

152

64,552

7.49%

4.51%

6.97%

4.40%



MI

Separation

151

86,947

13.34%

5.07%

8.35%

4.63%



MI

Nonseparation

151

348,068

9.76%

4.56%

5.54%

3.61%



 

 

 

 

 

 

 

 



MN

Monetary

153

15,776

15.67%

6.86%

15.67%

6.86%



MN

Separation

153

21,984

10.17%

4.82%

4.01%

3.31%



MN

Nonseparation

153

63,768

6.02%

4.00%

5.33%

3.77%



 

 

 

 

 

 

 

 



MO

Monetary

151

18,902

1.47%

2.03%

1.47%

2.03%



MO

Separation

151

31,528

5.70%

3.95%

2.12%

2.40%



MO

Nonseparation

151

69,058

13.93%

5.51%

7.51%

4.75%



 

 

 

 

 

 

 

 



MS

Monetary

153

7,809

3.17%

2.79%

2.68%

2.62%



MS

Separation

152

15,704

3.82%

3.21%

2.71%

2.36%



MS

Nonseparation

154

36,400

3.62%

3.03%

3.36%

2.99%



 

 

 

 

 

 

 

 



MT

Monetary

139

1,509

1.75%

1.97%

1.13%

1.60%



MT

Separation

156

3,851

3.43%

2.75%

2.14%

2.05%



MT

Nonseparation

156

8,983

6.44%

3.80%

1.46%

2.02%



 

 

 

 

 

 

 

 





Denied Claims Accuracy Rates -- PIIA Reporting Year 2023

July 1, 2022 through June 30, 2023



 

 

Sample*

Population

 

 95%

Adjusted

95% 



 

Sample

of denial

of denial

Improper

C.I.

Improper

C.I.



st

Type

Type

Type

Denial

(+/-)

Denial#

(+/-)



NC

Monetary

152

24,739

13.13%

4.98%

11.27%

4.64%





NC

Separation

159

27,930

4.10%

3.05%

2.91%

2.56%





NC

Nonseparation

159

54,088

16.49%

6.03%

15.83%

5.89%





 

 

 

 

 

 

 

 





ND

Monetary

154

2,102

2.63%

2.21%

2.11%

1.98%





ND

Separation

151

3,156

16.89%

6.31%

8.14%

4.55%





ND

Nonseparation

151

8,319

7.02%

3.93%

4.65%

3.51%





 

 

 

 

 

 

 

 





NE

Monetary

149

3,821

8.08%

3.49%

6.34%

2.91%





NE

Separation

149

5,689

17.61%

6.83%

12.41%

5.58%





NE

Nonseparation

155

24,698

16.09%

5.81%

9.61%

4.61%





 

 

 

 

 

 

 

 





NH

Monetary

156

1,059

15.23%

5.34%

6.36%

3.51%





NH

Separation

159

2,423

3.60%

3.09%

2.74%

2.61%





NH

Nonseparation

155

15,107

23.16%

6.92%

11.57%

5.33%





 

 

 

 

 

 

 

 





NJ

Monetary

153

46,559

9.19%

4.62%

6.72%

4.05%





NJ

Separation

158

56,597

6.60%

3.92%

6.60%

3.92%





NJ

Nonseparation

159

60,280

7.49%

4.11%

7.49%

4.11%





 

 

 

 

 

 

 

 





NM

Monetary

151

9,253

15.81%

5.99%

14.65%

5.99%





NM

Separation

156

3,908

9.38%

3.94%

6.00%

3.03%





NM

Nonseparation

156

24,648

1.87%

1.87%

0.98%

1.16%





 

 

 

 

 

 

 

 





NV

Monetary

145

10,097

12.42%

5.81%

11.91%

5.72%





NV

Separation

159

40,676

13.60%

5.37%

12.86%

5.37%





NV

Nonseparation

154

90,709

8.34%

4.07%

7.76%

3.90%





 

 

 

 

 

 

 

 





NY

Monetary

139

68,181

17.26%

7.03%

16.05%

6.97%





NY

Separation

150

52,598

5.32%

3.54%

5.32%

3.54%





NY

Nonseparation

150

110,179

3.71%

3.01%

2.99%

2.66%





 

 

 

 

 

 

 

 





OH

Monetary

150

137,918

3.53%

2.48%

2.15%

1.89%





OH

Separation

150

27,061

7.84%

4.33%

7.02%

4.03%





OH

Nonseparation

150

82,387

11.45%

5.01%

7.17%

3.99%





 

 

 

 

 

 

 

 





OK

Monetary

154

25,029

2.14%

1.75%

1.96%

1.71%





OK

Separation

159

17,433

3.09%

2.74%

1.17%

1.64%





OK

Nonseparation

159

28,087

1.71%

2.77%

1.38%

2.69%






Denied Claims Accuracy Rates -- PIIA Reporting Year 2023



July 1, 2022 through June 30, 2023



 

 

Sample*

Population

 

 95%

Adjusted

95% 



 

Sample

of denial

of denial

Improper

C.I.

Improper

C.I.



St

Type

Type

Type

Denial

(+/-)

Denial#

(+/-)



 

 

 

 

 

 

 

 

OR

Monetary

147

16,350

24.42%

8.00%

21.18%

7.42%

OR

Separation

163

21,429

7.85%

4.16%

7.85%

4.16%

OR

Nonseparation

149

53,206

6.28%

3.75%

4.49%

3.13%

 

 

 

 

 

 

 

 

PA

Monetary

152

65,099

13.32%

4.87%

9.06%

4.01%

PA

Separation

152

45,916

18.94%

6.46%

14.88%

6.29%

PA

Nonseparation

152

126,153

14.77%

6.26%

12.21%

5.96%

 

 

 

 

 

 

 

 

PR

Monetary

136

8,348

13.41%

11.55%

10.90%

11.39%

PR

Separation

151

6,335

0.56%

1.09%

0.56%

1.09%

PR

Nonseparation

150

8,876

2.72%

2.66%

1.31%

1.80%

 

 

 

 

 

 

 

 

RI

Monetary

112

3,114

14.24%

6.56%

11.72%

6.14%

RI

Separation

111

4,575

12.49%

5.86%

10.29%

5.30%

RI

Nonseparation

115

6,662

7.04%

5.21%

7.04%

5.21%

 

 

 

 

 

 

 

 

SC

Monetary

152

17,090

4.59%

3.28%

3.80%

2.90%

SC

Separation

153

31,024

5.46%

3.84%

2.55%

2.50%

SC

Nonseparation

153

83,089

8.26%

4.80%

4.68%

3.54%

 

 

 

 

 

 

 

 

SD

Monetary

150

597

8.46%

4.73%

2.96%

3.27%

SD

Separation

154

2,134

0.50%

0.93%

0.00%

0.00%

SD

Nonseparation

153

3,100

10.77%

5.55%

7.29%

4.19%

 

 

 

 

 

 

 

 

TN

Monetary

146

17,862

4.38%

3.27%

4.38%

3.27%

TN

Separation

150

16,424

7.18%

4.50%

2.96%

3.24%

TN

Nonseparation

150

28,450

17.53%

6.49%

13.53%

5.96%

 

 

 

 

 

 

 

 

TX

Monetary

151

114,774

4.73%

3.28%

4.73%

3.28%

TX

Separation

152

159,360

5.34%

3.71%

4.67%

3.46%

TX

Nonseparation

152

214,783

5.55%

3.93%

4.94%

3.74%

 

 

 

 

 

 

 

 

UT

Monetary

145

7,926

4.68%

3.32%

3.76%

2.80%

UT

Separation

153

12,154

0.70%

1.35%

0.70%

1.35%

UT

Nonseparation

151

68,056

3.21%

2.89%

3.21%

2.89%

 

 

 

 

 

 

 

 



Denied Claims Accuracy Rates -- PIIA Reporting Year 2023

July 1, 2022 through June 30, 2023

 

 

Sample*

Population

 

 95%

Adjusted

95% 

 

Sample

of denial

of denial

Improper

C.I.

Improper

C.I.

st

Type

Type

Type

Denial

(+/-)

Denial#

(+/-)

VA

Monetary

137

14,124

9.35%

5.20%

6.33%

4.30%

VA

Separation

159

22,616

18.37%

6.62%

18.37%

6.62%

VA

Nonseparation

159

83,480

13.28%

7.55%

13.28%

7.55%

 

 

 

 

 

 

 

 

VT

Monetary

129

1,483

45.35%

8.32%

38.95%

7.74%

VT

Separation

150

1,880

16.24%

7.11%

13.67%

6.53%

VT

Nonseparation

150

2,803

10.28%

4.05%

9.81%

3.95%

 

 

 

 

 

 

 

 

WA

Monetary

142

33,619

16.07%

6.43%

11.66%

5.42%

WA

Separation

145

26,110

11.55%

5.78%

9.92%

5.29%

WA

Nonseparation

147

149,112

27.34%

7.74%

26.06%

7.74%

 

 

 

 

 

 

 

 

WI

Monetary

149

9,673

10.09%

5.59%

10.09%

5.59%

WI

Separation

152

24,252

11.85%

5.44%

7.94%

4.58%

WI

Nonseparation

151

121,311

14.40%

6.13%

14.40%

6.13%

 

 

 

 

 

 

 

 


WV

Monetary

135

1451

17.80%

6.65%

12.23%

6.09%


WV

Separation

154

8,611

7.61%

4.24%

4.80%

3.60%


WV

Nonseparation

154

8,958

7.05%

4.00%

7.05%

4.00%


 

 

 

 

 

 

 

 


WY

Monetary

141

1,500

17.89%

7.66%

10.87%

5.27%


WY

Separation

150

1,898

7.64%

4.10%

2.07%

2.27%


WY

Nonseparation

150

11,629

2.59%

2.17%

2.59%

2.17%



Note: 95% C.I. is the 95 percent confidence interval for the estimated rate. The interval is the range between the rate minus the value in the 95% C.I. column and the rate plus the value in the 95% C.I. column. For example, the interval for 10.0% +/- 2.5 is 7.5% to 12.5%. The true rate is expected to lie within 95 percent of the intervals constructed from repeated samples of the same size and selected in the same manner as the BAM DCA sample.

*Excludes cases not meeting DCA definition for inclusion in population, withdrawn claims, and claims for which monetary eligibility was established upon receipt of CWC, UCFE, and/or UCX wage credits.

**Adjusted rate excludes erroneous denials that were corrected by agency or reversed on appeal prior to DCA case completion.



PAID CLAIMS ACCURACY (PCA)

CASE COMPLETION AND TIME LAPSE REPORT

Batch Range: 202227 ~ 202326

 

Cases 

Cases 

Percent 

60 Day 

90 Day 

State

Sampled

Completed

Completed

Time Lapse

Time Lapse

AK

488

488

100.00   

 95.70   

 99.18   

AL

487

487

100.00   

 85.22   

 97.74   

AR

480

480

100.00   

 82.29   

 97.08   

AZ

481

481

100.00   

 58.63  *

 77.75  +

CA

480

480

100.00   

 95.21   

 99.38   

CO

481

481

100.00   

 66.94  *

 85.03  +

CT

490

490

100.00   

 87.35   

 97.76   

DC

490

490

100.00   

 91.84   

 99.18   

DE

367

37

 10.08   

 0.00  *

 1.63  +

FL

485

485

100.00   

 94.43   

 99.59   

GA

484

484

100.00   

 84.50   

 98.76   

HI

407

407

100.00   

 90.42   

 95.82   

IA

480

322

 67.08   

 3.54  *

 7.29  +

ID

363

363

100.00   

 94.21   

 98.62   

IL

490

490

100.00   

 60.41  *

 81.22  +

IN

491

491

100.00   

 96.33   

 98.78   

KS

465

465

100.00   

 70.11   

 94.84  +

KY

504

504

100.00   

 30.56  *

 53.77  +

LA

491

491

100.00   

 98.17   

100.00   

MA

508

440

 86.61   

 46.65  *

 68.11  +

MD

487

487

100.00   

 68.79  *

 89.73  +

ME

356

356

100.00   

 90.45   

 97.75   

MI

482

482

100.00   

 94.40   

 98.55   

MN

484

484

100.00   

 87.81   

 95.45   

MO

480

480

100.00   

 91.88   

 97.50   

MS

481

481

100.00   

 97.51   

100.00   

MT

369

369

100.00   

 95.12   

 99.73   

NC

530

530

100.00   

 80.38   

 97.17   

ND

362

362

100.00   

 96.69   

100.00   

NE

360

360

100.00   

 93.89   

 99.44   

NH

371

371

100.00   

 88.14   

 97.57   

NJ

493

493

100.00   

 78.09   

 96.55   

NM

468

468

100.00   

 74.36   

 97.01   

NV

530

530

100.00   

 81.51   

 96.42   


PAID CLAIMS ACCURACY (PCA)

CASE COMPLETION AND TIME LAPSE REPORT

Batch Range: 202227 ~ 202326

 

Cases 

Cases 

Percent 

60 Day 

90 Day 

State

Sampled

Completed

Completed

Time Lapse

Time Lapse

NY

480

480

100.00   

 76.88   

 96.25   

OH

480

480

100.00   

 81.67   

 98.12   

OK

506

506

100.00   

 99.80   

100.00   

OR

480

480

100.00   

 87.71   

 99.17   

PA

482

482

100.00   

 97.72   

 99.79   

PR

484

484

100.00   

 23.76  *

 62.81  +

RI

330

330

100.00   

 73.03   

 93.03  +

SC

491

491

100.00   

 93.08   

 99.80   

SD

360

360

100.00   

 94.44   

 99.17   

TN

480

480

100.00   

 84.17   

 98.12   

TX

481

481

100.00   

 88.98   

 99.17   

UT

481

481

100.00   

 94.18   

 99.58   

VA

505

505

100.00   

 98.61   

100.00   

VT

360

360

100.00   

 93.06   

 99.72   

WA

472

472

100.00   

 72.67   

 90.04  +

WI

482

482

100.00   

 68.67  *

 92.12  +

WV

490

489

 99.80   

 91.43   

 99.80   

WY

360

360

100.00   

 89.44   

 98.06   







Note:

Time lapse has been adjusted for cases reopened with code '3'.

*

Failed to meet 60 day time lapse standard of 70% complete.

+

Failed to meet 90 day time lapse standard of 95% complete.


The Benefit Accuracy Measurement program was suspended due to Covid-19 epidemic excluding data for batch range 202014 through 202026. As a result case completion timeliness was negatively impacted


DENIED CLAIMS ACCURACY (DCA)

CASE COMPLETION AND TIME LAPSE REPORT - DCA Batch Range: 202227 ~ 202326

 

Denial

Cases

Cases

Percent

60 Day

90 Day

State

Type

Sampled

Completed

Completed

Time Lapse

Time Lapse

AK

Monetary

155

155

100.00   

 96.77   

100.00   

AK

Separation

159

159

100.00   

 96.23   

100.00   

AK

Nonseparation

159

159

100.00   

 97.48   

100.00   

AL

Monetary

158

158

100.00   

 82.28   

 96.20   

AL

Separation

158

158

100.00   

 81.01   

 98.10   

AL

Nonseparation

157

157

100.00   

 99.36   

 99.36   

AR

Monetary

155

155

100.00   

 88.39   

 99.35   

AR

Separation

150

150

100.00   

 91.33   

 98.00   

AR

Nonseparation

150

150

100.00   

 88.67   

 98.00   

AZ

Monetary

151

151

100.00   

 74.83   

 85.43   

AZ

Separation

151

151

100.00   

 74.83   

 89.40   

AZ

Nonseparation

151

151

100.00   

 76.16   

 90.07   

CA

Monetary

138

138

100.00   

 92.03   

100.00   

CA

Separation

136

136

100.00   

 98.53   

100.00   

CA

Nonseparation

128

128

100.00   

 96.09   

100.00   

CO

Monetary

151

151

100.00   

 69.54   

 86.09   

CO

Separation

151

151

100.00   

 70.86   

 86.09   

CO

Nonseparation

151

151

100.00   

 74.17   

 86.09   

CT

Monetary

157

157

100.00   

 94.90   

 98.73   

CT

Separation

156

156

100.00   

100.00   

100.00   

CT

Nonseparation

152

152

100.00   

100.00   

100.00   

DC

Monetary

160

160

100.00   

 91.88   

 98.75   

DC

Separation

159

159

100.00   

 94.97   

 98.74   

DC

Nonseparation

159

159

100.00   

 93.71   

 98.11   

DE

Monetary

155

9

 5.81   

 0.65  *

 1.94  +

DE

Separation

155

7

 4.52   

 0.65  *

 2.58  +

DE

Nonseparation

155

9

 5.81   

 0.65  *

 2.58  +

FL

Monetary

153

153

100.00   

 98.69   

 99.35   

FL

Separation

155

155

100.00   

 97.42   

100.00   

FL

Nonseparation

155

155

100.00   

 98.71   

100.00   

GA

Monetary

151

150

 99.34   

 83.44   

 99.34   

GA

Separation

152

152

100.00   

 92.76   

 99.34   

GA

Nonseparation

154

153

 99.35   

 89.61   

 99.35   

HI

Monetary

135

135

100.00   

 98.52   

100.00   

HI

Separation

136

136

100.00   

 94.85   

100.00   

HI

Nonseparation

134

134

100.00   

 97.76   

100.00   

IA

Monetary

154

121

 78.57   

 10.39  *

 16.23  +

IA

Separation

154

134

 87.01   

 8.44  *

 20.78  +

IA

Nonseparation

154

136

 88.31   

 8.44  *

 22.73  +



DENIED CLAIMS ACCURACY (DCA)


CASE COMPLETION AND TIME LAPSE REPORT – DCA Batch Range: 202227 ~ 202326


 

Denial

Cases

Cases

Percent

60 Day

90 Day


State

Type

Sampled

Completed

Completed

Time Lapse

Time Lapse


ID

Monetary

154

154

100.00   

 90.26   

 98.70   


ID

Separation

153

153

100.00   

 93.46   

100.00   


ID

Nonseparation

153

153

100.00   

 97.39   

100.00   


IL

Monetary

158

158

100.00   

 68.99   

 88.61   


IL

Separation

158

158

100.00   

 71.52   

 91.14   


IL

Nonseparation

158

158

100.00   

 64.56   

 85.44   


IN

Monetary

159

159

100.00   

100.00   

100.00   


IN

Separation

159

159

100.00   

100.00   

100.00   


IN

Nonseparation

158

158

100.00   

 99.37   

100.00   


KS

Monetary

142

142

100.00   

 76.76   

 98.59   


KS

Separation

144

144

100.00   

 76.39   

 97.92   


KS

Nonseparation

141

141

100.00   

 79.43   

 98.58   


KY

Monetary

157

157

100.00   

 96.18   

 99.36   


KY

Separation

156

156

100.00   

 75.00   

 99.36   


KY

Nonseparation

188

188

100.00   

 99.47   

100.00   


LA

Monetary

159

159

100.00   

100.00   

100.00   


LA

Separation

159

159

100.00   

 99.37   

100.00   


LA

Nonseparation

159

159

100.00   

 99.37   

100.00   


MA

Monetary

154

137

 88.96   

 62.99   

 78.57  +


MA

Separation

154

134

 87.01   

 60.39   

 77.92  +


MA

Nonseparation

153

133

 86.93   

 59.48  *

 77.78  +


MD

Monetary

144

144

100.00   

 58.33  *

 86.81   


MD

Separation

145

145

100.00   

 66.90   

 87.59   


MD

Nonseparation

148

148

100.00   

 58.78  *

 87.84   


ME

Monetary

145

144

 99.31   

 91.03   

 97.24   


ME

Separation

145

145

100.00   

 97.24   

100.00   


ME

Nonseparation

146

146

100.00   

 97.95   

 99.32   


MI

Monetary

152

152

100.00   

 94.74   

 99.34   


MI

Separation

151

151

100.00   

 93.38   

100.00   


MI

Nonseparation

151

151

100.00   

 92.72   

 99.34   


MN

Monetary

153

153

100.00   

 99.35   

100.00   


MN

Separation

153

153

100.00   

100.00   

100.00   


MN

Nonseparation

153

153

100.00   

 98.69   

 99.35   


MO

Monetary

151

151

100.00   

 96.03   

 99.34   


MO

Separation

151

151

100.00   

 97.35   

 99.34   


MO

Nonseparation

151

151

100.00   

 96.03   

 98.68   


MS

Monetary

153

153

100.00   

100.00   

100.00   


MS

Separation

152

152

100.00   

 99.34   

100.00   


MS

Nonseparation

154

154

100.00   

 99.35   

100.00   



DENIED CLAIMS ACCURACY (DCA)


CASE COMPLETION AND TIME LAPSE REPORT – DCA Batch Range: 202227 ~ 202326


 

Denial

Cases

Cases

Percent

60 Day

90 Day


State

Type

Sampled

Completed

Completed

Time Lapse

Time Lapse


MT

Monetary

155

155

100.00   

 95.48   

 98.71   


MT

Separation

156

156

100.00   

 97.44   

100.00   


MT

Nonseparation

156

156

100.00   

 96.15   

100.00   


NC

Monetary

158

158

100.00   

 87.34   

 99.37   


NC

Separation

159

159

100.00   

 91.19   

 99.37   


NC

Nonseparation

159

159

100.00   

 87.42   

 99.37   


ND

Monetary

158

158

100.00   

 98.10   

100.00   


ND

Separation

151

151

100.00   

 98.01   

100.00   


ND

Nonseparation

151

151

100.00   

100.00   

100.00   


NE

Monetary

149

149

100.00   

 96.64   

100.00   


NE

Separation

149

149

100.00   

 94.63   

100.00   


NE

Nonseparation

155

155

100.00   

 94.84   

100.00   


NH

Monetary

156

156

100.00   

 96.79   

100.00   


NH

Separation

159

159

100.00   

 98.74   

 99.37   


NH

Nonseparation

156

155

 99.36   

 97.44   

 98.72   


NJ

Monetary

159

159

100.00   

 85.53   

100.00   


NJ

Separation

159

158

 99.37   

 83.02   

 98.74   


NJ

Nonseparation

159

159

100.00   

 84.91   

 98.74   


NM

Monetary

153

153

100.00   

 71.24   

 96.08   


NM

Separation

156

156

100.00   

 73.08   

 95.51   


NM

Nonseparation

156

156

100.00   

 82.05   

 98.08   


NV

Monetary

158

154

 97.47   

 85.44   

 96.84   


NV

Separation

159

159

100.00   

 86.79   

 98.11   


NV

Nonseparation

157

154

 98.09   

 77.07   

 92.36   


NY

Monetary

150

150

100.00   

 76.00   

 92.67   


NY

Separation

150

150

100.00   

 81.33   

 95.33   


NY

Nonseparation

150

150

100.00   

 82.67   

 96.00   


OH

Monetary

150

150

100.00   

 87.33   

100.00   


OH

Separation

150

150

100.00   

 84.67   

 98.00   


OH

Nonseparation

150

150

100.00   

 76.00   

 95.33   


OK

Monetary

156

156

100.00   

 98.08   

100.00   


OK

Separation

159

159

100.00   

 99.37   

100.00   


OK

Nonseparation

159

159

100.00   

100.00   

100.00   


OR

Monetary

163

163

100.00   

 88.96   

 96.32   


OR

Separation

163

163

100.00   

 91.41   

100.00   


OR

Nonseparation

149

149

100.00   

 90.60   

 99.33   


PA

Monetary

152

152

100.00   

 99.34   

100.00   


PA

Separation

152

152

100.00   

 97.37   

100.00   


PA

Nonseparation

152

152

100.00   

 99.34   

100.00   



DENIED CLAIMS ACCURACY



CASE COMPLETION AND TIME LAPSE REPORT – DCA Batch Range: 202227 ~ 202326



 

Denial

Cases

Cases

Percent

60 Day

90 Day



State

Type

Sampled

Completed

Completed

Time Lapse

Time Lapse



PR

Monetary

150

150

100.00   

 40.00  *

 75.33  +



PR

Separation

151

151

100.00   

 67.55   

 94.04   



PR

Nonseparation

150

150

100.00   

 27.33  *

 64.00  +



RI

Monetary

116

112

 96.55   

 70.69   

 90.52   



RI

Separation

116

111

 95.69   

 62.93   

 86.21   



RI

Nonseparation

117

115

 98.29   

 71.79   

 88.03   



SC

Monetary

152

152

100.00   

 96.71   

 99.34   



SC

Separation

153

153

100.00   

 98.04   

100.00   



SC

Nonseparation

153

153

100.00   

 99.35   

100.00   



SD

Monetary

151

151

100.00   

 98.01   

100.00   



SD

Separation

154

154

100.00   

 98.05   

100.00   



SD

Nonseparation

153

153

100.00   

 94.77   

100.00   



TN

Monetary

150

150

100.00   

 94.00   

100.00   



TN

Separation

150

150

100.00   

 90.00   

100.00   



TN

Nonseparation

150

150

100.00   

 93.33   

100.00   



TX

Monetary

152

152

100.00   

 96.05   

100.00   



TX

Separation

152

152

100.00   

 95.39   

100.00   



TX

Nonseparation

152

152

100.00   

 94.74   

100.00   



UT

Monetary

150

150

100.00   

 98.00   

 99.33   



UT

Separation

153

153

100.00   

 98.69   

 99.35   



UT

Nonseparation

151

151

100.00   

100.00   

100.00   



VA

Monetary

159

159

100.00   

100.00   

100.00   



VA

Separation

159

159

100.00   

 98.74   

100.00   



VA

Nonseparation

159

159

100.00   

 98.74   

100.00   



VT

Monetary

150

150

100.00   

 97.33   

100.00   



VT

Separation

150

150

100.00   

 92.67   

100.00   



VT

Nonseparation

150

150

100.00   

 98.00   

100.00   



WA

Monetary

144

144

100.00   

 88.89   

 97.22   



WA

Separation

145

145

100.00   

 87.59   

 97.93   



WA

Nonseparation

147

147

100.00   

 91.84   

 98.64   



WI

Monetary

152

152

100.00   

 75.66   

 96.71   



WI

Separation

152

152

100.00   

 79.61   

 98.68   



WI

Nonseparation

151

151

100.00   

 87.42   

 97.35   



WV

Monetary

153

153

100.00   

 82.35   

 92.16   



WV

Separation

154

154

100.00   

 82.47   

 90.26   



WV

Nonseparation

154

154

100.00   

 80.52   

 90.26   



WY

Monetary

150

150

100.00   

 94.00   

100.00   



WY

Separation

150

150

100.00   

 94.67   

 99.33   



WY

Nonseparation

150

150

100.00   

100.00   

100.00   










Note:

Time lapse has been adjusted for cases reopened with code '3'.

*

Failed to meet 60 day time lapse standard of 60% complete.

+

Failed to meet 90 day time lapse standard of 85% complete.



1 Some SWAs have updated the COBOL software edit and selection process as software programs and claimstaking processes have changed. ETA has published further guidance for states’ updating these systems and monitored system changes. See UIPL No. 25-20; web published https://wdr.doleta.gov/directives/corr_doc.cfm?DOCN=6819; June 15, 2020.

2 Offset of benefits are considered as being constructively received by the claimant.

B-10



File Typeapplication/vnd.openxmlformats-officedocument.wordprocessingml.document
File TitleJUSTIFICATION PART B
AuthorKari Baumann
File Modified0000-00-00
File Created2024-10-07

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