Estimating Models of On-the-Job Search Using Record Statistics
Estimating Models of On-the-Job Search Using Record Statistics
复制标题
使用记录统计估计在职搜索模型
DOI：
10.2139/ssrn.473202
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
Gadi Barlevy
中科院分区：
文献类型：
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作者：
Gadi Barlevy
本文提出了一种估计求职模型的方法，该方法不需要函数形式假设或排除工人能力中未观察到的变化的存在。特别是，在记录值理论（处理随机变量序列中极值的时间和幅度的统计学分支）的现有结果的基础上，我展示了如何使用工资数据来识别工人搜索的分布。将这一见解应用于 NLSY 数据集中的工资数据，我表明该数据支持工资分布为帕累托分布的假设，但不支持对数正态分布。
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.