Estimating Models of On-the-Job Search Using Record Statistics
Abstract
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 offer distribution is Pareto, but not that it is lognormal.Download Info
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 10146.Length:
Date of creation: Dec 2003
Date of revision:
Handle: RePEc:nbr:nberwo:10146
Note: EFG LS
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Keywords:Other versions of this item:
- Gadi Barlevy, 2003. "Estimating models of on-the-job search using record statistics," Working Paper Series WP-03-18, Federal Reserve Bank of Chicago.
- Gadi Barlevy, 2004. "Estimating Models of On-the-Job Search Using Record Statistics," 2004 Meeting Papers 9, Society for Economic Dynamics.
This paper has been announced in the following NEP Reports:
- NEP-ALL-2003-12-07 (All new papers)
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Uta Schönberg, 2007.
"Wage Growth Due to Human Capital Accumulation and Job Search: A Comparison between the United States and Germany,"
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