Data Improvement and Labor Economics

• 成果类型: Article
• 署名作者: Hallock, Kevin F.
• 署名单位: Cornell University; National Bureau of Economic Research
• 刊物名称: JOURNAL OF LABOR ECONOMICS
• ISSN/ISSBN: 0734-306X
• DOI: 10.1086/670384
• 发表日期: 2013
• 页码: S1-S16
• 关键词: earnings; performance; experience; EMPLOYMENT; returns

摘要

The expansion of available data for research has transformed empirical labor economics over the past generation. This paper briefly highlights some of the changes and describes a few examples of papers that illustrate the advances. It also documents the changing ways data have been used in the Journal of Labor Economics over the past 30 years, including a trend toward a higher fraction of papers using any data and, among those papers using any data, a higher fraction using nonpublic data, a higher fraction using international data, and more frequent use of multiple data sources. Finally, this paper describes work that came out of the recent Princeton Data Improvement Initiative-a program that considers and furthers improved data collection.