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Authors
Advisor(s)
Abstract(s)
In this paper we propose a general framework to deal with datasets where a binary outcome is subject to misclassification and, for some sampling units, neither the error-prone variable of interest nor the covariates are recorded. A model to describe the observed data is formalized and efficient likelihood-based generalized method of moments estimators are suggested.
Description
Keywords
Nonignorable Nonresponse Misclassification Generalized Method of Moments Estimation
Pedagogical Context
Citation
Ramalho, Esmeralda A.; .(2007). “Binary models with misclassification in the variable of interest and nonignorable nonresponse”. Economics Letters, Volume 96, Issue 1: pp. 70-76. (Search PDF in 2023).
Publisher
Elsevier