Measurement error in the current population survey: A nonparametric look

• 成果类型: Article
• 署名作者: Bollinger, CR
• 署名单位: University System of Georgia; Georgia State University
• 刊物名称: JOURNAL OF LABOR ECONOMICS
• ISSN/ISSBN: 0734-306X
• DOI: 10.1086/209899
• 发表日期: 1998
• 页码: 576-594
• 关键词: extent

摘要

This article utilizes an exact match file between the 1978 March Current Population Survey and administrative records from the Social Security Administration to analyze errors in the reporting of annual income using nonparametric methodology.The article extends work of Bound and Krueger, and the results confirm many of the findings in Bound and Krueger. Three new findings are of interest: there is higher measurement error in cross-sectional samples than in panels. The negative relationship between measurement error and earnings is driven largely by over reporting among low earners. Median response errors are not related to earnings.