Estimating models of on-the-job search using record statistics
by Gadi Barlevy
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"This paper proposes a methodology for estimating job search models that does not require either functional form assumptions or ruling out the presence of unobserved variation in worker ability. In particular, building on existing results from record- value theory, a branch of statistics that deals with the timing and magnitude of extreme values in sequences of random variables, I show how we can use wage data to identify the distribution from which workers search. Applying this insight to wage data in the NLSY dataset, I show that the data supports the hypothesis that the wage o²Þer distribution is Pareto, but not that it is lognormal"--Federal Reserve Bank of Chicago web site.
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Subjects
Econometric models, Job huntingShowing 2 featured editions. View all 2 editions?
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1
Estimating models of on-the-job search using record statistics
2003, National Bureau of Economic Research
in English
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Estimating models of on-the-job search using record statistics
2003, Federal Reserve Bank of Chicago
Electronic resource
in English
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Book Details
Published in
[Chicago, Ill.]
Edition Notes
Also available in print.
Includes bibliographical references.
Title from PDF file as viewed on 10/1/2004.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.
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| December 11, 2020 | Edited by MARC Bot | import existing book |
| November 27, 2012 | Edited by raj | Reverted spam |
| November 23, 2012 | Edited by 188.190.124.68 | Edited without comment. |
| December 3, 2010 | Edited by Open Library Bot | Added subjects from MARC records. |
| December 10, 2009 | Created by WorkBot | add works page |