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Advisor(s)
Abstract(s)
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.
Description
Keywords
Generalized Method of Moments Estimation Empirical Likelihood Missing Completely at Random Nonignorable Nonresponse Semiparametric Efficiency
Pedagogical Context
Citation
Ramalho, Esmeralda A. and Richard J. Smith. “Discrete choice non-response”. The Review of Economic Studies, Volume 80, Issue 1: pp. 343–364.
Publisher
Oxford Academic