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OMB extension for Benefits Accuracy Measurement data collection

Summary ETA told state unemployment agencies that OMB had extended approval for Benefits Accuracy Measurement data collection through June 2007. States used weekly samples of paid and denied claims to estimate correct and incorrect payments and identify error causes. ETA now lists the letter as Canceled.
Document
Federal guidance
Agency
U.S. Department of Labor, Employment and Training Administration (ETA)
Document number
UIPL No. 18-05
Date issued
March 25, 2005
Status
Withdrawn
ETA lists this letter Canceled as of October 25, 2026; its printed expiration date was March 31, 2006, and the OMB approval described in it ran through June 30, 2007.
Status last verified October 25, 2026

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This document has been withdrawn. Ezel checks what federal law requires today, under current federal labor law, and answers your situation with citations.

This document has been withdrawn
ETA lists this letter Canceled as of October 25, 2026; its printed expiration date was March 31, 2006, and the OMB approval described in it ran through June 30, 2007. It no longer reflects the agency's current position. Treat this page as historical context, not current guidance, and verify current law before relying on anything here.
About this page: The full text below is the official document from U.S. Department of Labor, Employment and Training Administration (ETA). Ezel adds the plain-English summary and tracks the document's status. The official source linked on this page is authoritative for any reliance.

U.S. Department of Labor
Employment and Training Administration
Advisory System
Washington, D.C. 20210
Classification: UI Performs
Correspondence symbol: OWS/DPM
Date: March 25, 2005
Rescissions: None
Expiration date: March 31, 2006

ADVISORY: UNEMPLOYMENT INSURANCE PROGRAM LETTER NO. 18-05

TO: STATE WORKFORCE AGENCIES

FROM: CHERYL ATKINSON /s/
Administrator
Office of Workforce Security

SUBJECT: Extension of the Office of Management and Budget (OMB) Approval to Collect Benefits Accuracy Measurement (BAM) Program Data

  1. Purpose. To inform states that OMB has approved the extension of data collection to support the BAM Program.

  2. Background. By investigating small representative weekly samples of both paid and denied UI claims, BAM enables each state to estimate reliably the number and dollar value of proper and improper payments of UI benefits; the rates of occurrence of these proper and improper payments and denials; and the error types, error causes, and the parties that are responsible for the errors.

  3. OMB Approval. This reporting instruction has been approved under the Paperwork Reduction Act of 1980, under number 1205-0245 through June 30, 2007. Persons are not required to respond to this collection of information unless it displays a currently valid OMB number. Respondent's obligation to reply is mandatory (SSA, Sec. 303 (a)(6)).

  4. Burden Disclosure. Public reporting burden for this collection of information, which includes both paid and denied claims, is estimated to average 8,139 hours per state. For paid claims, investigators spend 5.1 hours, on average, to complete a BAM paid claims investigation, with an additional 3.17 hours for coding and entering data into a computerized database, reviewing completed cases, and transmitting the data to the Department, for a total of 8.27 hours per investigation. For denied claims, the average times for completing and transmitting data by type of denial are: monetary denials - 6.825 hours; separation denials - 6.525 hours; and nonseparation denials - 6.625 hours. Claimant, employer, and third party responses are approximately 0.5 hours per response per case.

Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to the U.S. Department of Labor, Office of Workforce Security, Room S-4231, Washington, D.C. 20210 (Paperwork Reduction Project 1205-0359).

  1. Inquiries. Inquires should be directed to Kari Bauman at 202-693-3286 or Delores Mackall at 202-693-3183.

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