Adverse selection and incentives in an early retirement program

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Adverse selection and incentives in an early ...
Kenneth T. Whelan
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Last edited by MARC Bot
October 17, 2020 | History

Adverse selection and incentives in an early retirement program

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"We evaluate potential determinants of enrollment in an early retirement incentive program for non-tenure-track employees of a large university. Using administrative record on the eligible population of employees not covered by collective bargaining agreements, historical employee count and layoff data by budget units, and public information on unit budgets, we find dips in per-employee finance in a budget unit during the application year and higher recent per employee layoffs were associated with increased probabiliites of eligible employee program enrollment. Our results also suggest, on average, that employees whose salaries are lower than we would predict given their personal characteristics and job titles were more likely to enroll in the early retirement program. To the extent that employees' compensation reflects their productivity, as it should under a pay system in which annual salary increases are based on merit, this finidng suggests that adverse selection was not a problem with the program. That is, we find no evidence that on average the "most productive" employees took the incentive"--National Bureau of Economic Research web site.

Publish Date
Language
English

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Cover of: Adverse selection and incentives in an early retirement program
Adverse selection and incentives in an early retirement program
2011, National Bureau of Economic Research
Electronic resource in English

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Edition Notes

Title from PDF file as viewed on 1/5/2012.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
Cambridge, MA
Series
NBER working paper series -- working paper 17538, Working paper series (National Bureau of Economic Research : Online) -- working paper no. 17538.

Classifications

Library of Congress
HB1

The Physical Object

Format
Electronic resource

ID Numbers

Open Library
OL25166013M
LCCN
2011657418

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October 17, 2020 Edited by MARC Bot import existing book
January 11, 2012 Created by LC Bot import new book