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Individual and Firm Heterogeneity in Labor Markets: Studies of Matched Employee-Employer Data

Individual and Firm Heterogeneity in Labor Markets: Studies of Matched Employee-Employer Data
劳动力市场中的个人和企业异质性:匹配雇员-雇主数据的研究
批准号:
9618111
负责人:
John Abowd
金额:
$24.34万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-03-15 至 2002-02-28

项目摘要

项目成果

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中文摘要
翻译
研究者开发了统计方法和数据源,允许调查观察到的劳动力市场结果中个人和企业异质性的相对重要性。 这些方法并不像几乎所有以前的研究那样假设个人效应和企业效应是不相关的。 研究人员利用法国国家科学基金会(NSF)和法国国家统计研究所(French National Statistical Institute)合作支持的研究数据,表明在决定工资结果方面,个人效应比企业效应重要得多,但这两种效应是合理相关的。 研究者从四个来源收集了美国的数据,现在可以用来估计适用于法国数据的个人效应/公司效应模型的版本。 由于美国数据的性质,模型必须有所修改,但分析的基本特征-可单独识别的个人和公司效应之间的相关性的可能性-被保留。 调查员还得到了劳工统计局(BLS)的赞助,并在之前的NSF拨款下提供资金,为全国青年纵向调查(NLSY)1979年队列创建雇主链接文件。 该雇主链接文件包含将有关雇主的外部信息与1979年NLSY 1986-1994年基本数据相关联所需的标识号。 作为与劳工统计局签订的保密协议的一部分,调查人员可以访问这些数据,NLSY的其他用户将能够从劳工统计局的纵向数据计划中获得数据。 调查员将扩展和修改他的基本统计模型,使他能够分析工资,就业和其他劳动力市场的结果,使用雇主链接文件和雇主的相关信息在NLSY上测量。 调查人员可获得的其他数据来源包括康奈尔大学高级人力资源研究中心开发的匹配雇主-雇员管理数据。 这些数据包括工资结果,或有薪酬和大量的公司业绩指标。 还将提供从匹配的当前人口调查(包括有限的雇主信息)和调查员当前研究中使用的工人机构特征数据库中开发的数据文件。
英文摘要
The investigator has developed statistical methods and data sources that permit investigation of the relative importance of individual and firm heterogeneity in observed labor market outcomes. These methods do not assume, as virtually all previous research has, that the person effects and the firm effects are uncorrelated. Using data from France in research supported collaboratively by NSF and the French National Statistical Institute, the investigator has shown that person effects are much more important in determining wage outcomes than are firm effects, but that these two effects are reasonably correlated. The investigator has assembled American data from four sources that can now be used to estimate versions of the person-effect/firm-effect models applied to French data. Because of the nature of the American data, the models must be somewhat modified but the essential character of the analysis-the possibility of correlation between separately identifiable person and firm effects-is preserved. The investigator has also been sponsored by the Bureau of Labor Statistics (BLS ) and by funding under a previous NSF grant to create an employer-link file for the National Longitudinal Survey of Youth (NLSY) 1979 Cohort. This employer-link file contains the identification numbers required to link external information about the employer to the basic NLSY 1979 data for the years 1986-1994. The investigator has access to these data as a part of a confidentiality agreement with the BLS, and other users of the NLSY will be able to obtain the data from the Bureau's Longitudinal Data Programs. The investigator will extend and modify his basic statistical models that permit him to analyze wage, employment and other labor market outcomes measured on the NLSY using the employer link file and the associated information on the employer. The other data sources available to the investigator include matched employer-employee managerial data developed by the Center for Advanced Human Resource Studies at Cornell University. These data include wage outcomes, contingent pay and a large number of performance measures on the firms. Data files developed from matched Current Population Surveys that include limited employer information and from the Worker-Establishment Characteristics Database used in the investigator's current research will also be available.
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TC: Large: Collaborative Research: Practical Privacy: Metrics and Methods for Protecting Record-level and Relational Data
  • 批准号:
    1012593
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $132.67万
  • 财政年份:
    2010
  • 负责人:
    John Abowd
  • 依托单位:
CDI-Type II: Collaborative Research: Integrating Statistical and Computational Approaches to Privacy
  • 批准号:
    0941226
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.93万
  • 财政年份:
    2010
  • 负责人:
    John Abowd
  • 依托单位:
Joint NSF-Census-IRS Workshop on synthetic data and confidentiality protection, July 2009 Washington, DC
  • 批准号:
    0922494
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.85万
  • 财政年份:
    2009
  • 负责人:
    John Abowd
  • 依托单位:
ITR-(ECS+ASE)-(dmc+int): Info Tech Challenges for Secure Access to Confidential Social Science Data
海外基金