Identification of Search Models using Record Statistics
展示如何用记录值理论（研究随机变量序列中极值出现时间和大小的统计分支）从工资数据中恢复搜索模型中的工资报价分布特征，并估计工龄对工资增长的贡献。
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. Copyright 2008, Wiley-Blackwell.