Estimating models of on-the-job search using record statistics
by Gadi Barlevy
"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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Econometric models, Job hunting| Edition | Availability |
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1
Estimating models of on-the-job search using record statistics
2003, Federal Reserve Bank of Chicago
Electronic resource
in English
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2
Estimating models of on-the-job search using record statistics
2003, National Bureau of Economic Research
in English
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Book Details
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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- Created April 1, 2008
- 5 revisions
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| December 11, 2020 | Edited by MARC Bot | import existing book |
| July 31, 2012 | Edited by VacuumBot | Updated format '[electronic resource] /' to 'Electronic resource' |
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| October 31, 2008 | Edited by ImportBot | add URIs from original MARC record |
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