Nonparametric survey response errors

• 成果类型: Article
• 署名作者: Matzkin, Rosa L.
• 署名单位: University of California System; University of California Los Angeles
• 刊物名称: INTERNATIONAL ECONOMIC REVIEW
• ISSN/ISSBN: 0020-6598
• DOI: 10.1111/j.1468-2354.2007.00468.x
• 发表日期: 2007
• 页码: 1411-1427
• 关键词: data markets

摘要

I present nonparametric methods to identify and estimate the biases associated with response errors. When applied to survey data, these methods can be used to analyze how observable and unobservable characteristics of the respondent, and characteristics of the design of the survey, affect errors in the responses. This provides a method to correct the biases that those errors generate, by using the estimated response errors to '' undo '' those biases. The results are useful also to design better surveys, since they point at characteristics of the design and of subpopulations of respondents that can provide identification of response errors. Several models are considered.