Re-employment probabilities over the business cycle

Re-employment probabilities over the business ...
Guido W. Imbens, Guido W. Imbe ...
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Last edited by MARC Bot
December 17, 2020 | History

Re-employment probabilities over the business cycle

"Using a Cox proportional hazard model that allows for a flexible time dependence in order to incorporate business cycle effects, we analyze the determinants of reemployment probabilities of young workers in the U.S. from 1978-1989. We find considerable changes in the chances of young workers finding jobs over the business cycle despite the fact that personal characteristics of those starting jobless spells do not vary much over time. Therefore, government programs that target specific demographic groups may change individuals' positions within the queue of job seekers, but may only have a more limited impact on average re-employment probabilities. Living in an area with high local unemployment reduces re-employment chances as does being in a long spell of non-employment. However, the damage associated with being in a long spell seems to be reduced somewhat if a worker is unemployed in an area with high overall unemployment"--Forschungsinstitut zur Zukunft der Arbeit web site.

Publish Date
Publisher
IZA
Language
English

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Edition Availability
Cover of: Re-employment probabilities over the business cycle
Re-employment probabilities over the business cycle
2006, IZA
electronic resource / in English

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Book Details


Edition Notes

Title from PDF file as viewed on 6/16/2006.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
Bonn, Germany
Series
Discussion paper -- no. 2167, Discussion paper (Forschungsinstitut zur Zukunft der Arbeit : Online) -- no. 2167

Classifications

Library of Congress
HD5701

The Physical Object

Format
[electronic resource] /

ID Numbers

Open Library
OL31759644M
LCCN
2006619301

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December 17, 2020 Created by MARC Bot Imported from Library of Congress MARC record