When claimant characteristics and prior performance predict bureaucratic error (Record no. 98134)

000 -LEADER
fixed length control field 01866pab a2200193 454500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180718b2012 xxu||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Ryu, Sangyub
245 ## - TITLE STATEMENT
Title When claimant characteristics and prior performance predict bureaucratic error
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent p.695-714.
362 ## - DATES OF PUBLICATION AND/OR SEQUENTIAL DESIGNATION
Dates of publication and/or sequential designation Nov
520 ## - SUMMARY, ETC.
Summary, etc. The public administration literature has paid scant attention to bureaucratic errors as performance measures. This has largely been due to a lack of data. Unlike most programs, the insurance (UI) program has systematically collected performance data and has independently audited those data to determine error responsibility (employer, employee, and agency error). In the first comprehensive analysis of these data, we examine the probability that a bureaucrat makes an error involving nonpayment of UI benefits and theorize about the reasons for these errors. Our findings indicate that the previous UI office error rate is a good predictor of current error rates, demonstrating that poorly performing offices remain poor performers. In addition, local offices with high error rates account for a disproportionate percentage of the errors, indicating a need to examine agency management. Second, errors are more commonly made on cases involving White UI claimants and claimants with a college education. Finally, we find that claimants who have higher self-valuation, are less likely to experience agency errors. Taken together, these results point to systematic agency errors. Public managers and the unemployed would be better served if training efforts and performance targets were developed with these systematic error effects in mind. - Reproduced.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Civil service
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Wilkins, Vicky M.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Wenger, Jeffrey B.
773 ## - HOST ITEM ENTRY
Main entry heading American Review of Public Administration
908 ## - PUT COMMAND PARAMETER (RLIN)
Put command parameter N
909 ## -
-- 98135
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        Indian Institute of Public Administration Indian Institute of Public Administration 2018-07-19 Volume no: 42, Issue no: 6 AR98595 2018-07-19 2018-07-19 Articles

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