Identification of Search Models Using Record Statistics
Identification of Search Models Using Record Statistics
复制标题
使用记录统计识别搜索模型
DOI：
10.1111/j.1467-937x.2007.00459.x
复制
发表时间：
2005
影响因子：
3.8
通讯作者：
Gadi Barlevy
中科院分区：
文献类型：
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作者：
Gadi Barlevy
使用记录统计数据 * Gadi Barlevy经济研究部芝加哥联邦储备银行230 South LaSalle Chicago，伊利诺伊州60604电子邮件：gbarlevy@frbchi.org 2005年3月8日摘要本文显示如何显示如何记录 - 涉及随机变量序列中极端值的时间和幅度的统计数据，可用于非 - 我使用NLSY工资数据来确定工人面对的分布。使用相同的NLSY数据回到工作特定的人力资本的局限我的样本中的工人。参数识别，工资增长，特定人力资本，我要感谢Joe Altonji，Susan Athey，Marco Bassetto，Je Qu Quar Campbell，Kim-Sau Chung，Zvi Eckstein，Zvi Eckstein，Chuck，Chuck曼斯基（Manski），弗朗西斯卡·莫利纳里（Francesca Molinari），克里斯·塔伯（Chris Taber），尼克·威廉姆斯（Nick Williams），尤其是埃里克·法国人（Eric Frenchs）和纳加拉哈（H.明尼阿波利斯联邦储备银行，特拉维夫大学，密歇根州，纽约州，宾夕法尼亚州立大学，大学宾夕法尼亚州，不列颠哥伦比亚大学，纽约州立大学奥尔巴尼，伯克利，经济动力学会和NBER夏季研究所。
Identification of Search Models using Record Statistics ∗ Gadi Barlevy Economic Research Department Federal Reserve Bank of Chicago 230 South LaSalle Chicago, IL 60604 e-mail: gbarlevy@frbchi.org March 8, 2005 Abstract This paper shows how record-value theory, a branch of statistics that deals with the tim- ing and magnitude of extreme values in sequences of random variables, can be used to non- parametrically identify the offer distribution of wages workers face. Using NLSY wage data, I show that the data supports the hypothesis that the wage offer distribution is Pareto but rejects that it is lognormal. In addition, I show that my approach can be used to construct a bound on the return to job-specific human capital. Using the same NLSY data, I find that job-specific human capital plays only a minor role in the wage growth of the workers in my sample. Instead, wage growth among the young workers in my sample appears to be driven primarily by the accumulation of general human capital as well as on-the-job search. Key Words: On-the-Job Search, Non-Parametric Identification, Wage Growth, Specific Human Capital I would like to thank Joe Altonji, Susan Athey, Marco Bassetto, Jeff Campbell, Kim-Sau Chung, Zvi Eckstein, Chuck Manski, Francesca Molinari, Chris Taber, Nick Williams, and especially Eric French and H. N. Nagaraja for helpful discussions. I also wish to acknowledge the help of my research assistant Merritt Lyon. Finally, I have benefitted from comments at seminars in Arizona State, the Federal Reserve Bank of Minneapolis, Tel Aviv University, Michigan State, NYU, Penn State, University of Pennsylvania, University of British Columbia, SUNY Albany, Berkeley, the Society of Economic Dynamics, and the NBER Summer Institute. The views expressed here do not necessarily reflect the position of the Federal Reserve Bank of Chicago or the Federal Reserve System.