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Identification of Search Models using Record Statistics

机译:使用记录统计信息识别搜索模型

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This paper shows how record-value theory,a branch of statistics that deals with the timing and magnitude of extreme values in sequences of random variables,can be used to recover features of the wage offer distribution in conventional search models.Using National Longitudinal Survey of Youth (NLSY) wage data,I show that the data are not compatible with specifications for the offer distribution characterized by extreme negative skewness.In addition,I show that my approach can be used to construct a bound on the returns to job seniority.My results suggest that job seniority plays only a minor role in the wage growth of the workers surveyed in the NLSY.
机译:本文说明了记录值理论,它是统计的一个分支,它处理随机变量序列中极值的时间和大小,可以用来恢复常规搜索模型中的工资提供分布特征。青年(NLSY)工资数据,我表明该数据与以极端负偏度为特征的报价分配规范不兼容。此外,我表明我的方法可以用于建立对工作资历回报的界限。结果表明,在NLSY调查中,工作资历在工人的工资增长中仅扮演次要角色。

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