Discrete Choice Non-Response

• 成果类型: Article
• 署名作者: Ramalho, Esmeralda A.; Smith, Richard J.
• 署名单位: University of Evora; University of Cambridge
• 刊物名称: REVIEW OF ECONOMIC STUDIES
• ISSN/ISSBN: 0034-6527
• DOI: 10.1093/restud/rds018
• 发表日期: 2013
• 页码: 343-364
• 关键词: weighted m-estimators; generalized-method; asymptotic properties; efficient method; panel-data; models; attrition; variables; gmm

摘要

Missing values are endemic in the data sets available to econometricians. This paper suggests a semiparametrically efficient likelihood-based approach to deal with general non-ignorable missing data problems for discrete choice models. Our concern is when the dependent variable and/or covariates are unobserved for some sampling units. A supplementary random sample of observations on all covariates may be available. The key insight of this paper is the recognition of non-response as a modification of choice-based (CB) samples. Semiparametrically efficient generalized method of moments (GMM) estimation appropriate for CB samples is then adapted for the non-response framework considered in this paper. Simulation results for various GMM estimators proposed here are very encouraging.