English, Article, Journal or magazine article edition: Estimating Models of On-the-Job Search Using Record Statistics Gadi Barlevy

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Bookmark: http://trove.nla.gov.au/version/57117
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • Estimating Models of On-the-Job Search Using Record Statistics
Author
  • Gadi Barlevy
Physical Description
  • preprint
Notes
  • Record Statistics, Hausdorff Moment Problem
  • RePEc:red:sed004:9
  • 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 o¤er distribution is Pareto, but not that it is lognormal.
  • Employment (Economic theory)
  • RePEc:fip:fedhwp:wp-03-18
  • 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.
  • RePEc:nbr:nberwo:10146
Language
  • English
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