On the Estimation of Selection Models when Participation is Endogenous and Misclassified
Missing Data Methods: Cross-sectional Methods and Applications
ISBN: 978-1-78052-524-2, eISBN: 978-1-78052-525-9
Publication date: 23 November 2011
Abstract
This chapter presents a Bayesian analysis of the endogenous treatment model with misclassified treatment participation. Our estimation procedure utilizes a combination of data augmentation, Gibbs sampling, and Metropolis–Hastings to obtain estimates of the misclassification probabilities and the treatment effect. Simulations demonstrate that the proposed Bayesian estimator accurately estimates the treatment effect in light of misclassification and endogeneity.
Keywords
Citation
McCarthy, I.M. and Tchernis, R. (2011), "On the Estimation of Selection Models when Participation is Endogenous and Misclassified", Drukker, D.M. (Ed.) Missing Data Methods: Cross-sectional Methods and Applications (Advances in Econometrics, Vol. 27 Part 1), Emerald Group Publishing Limited, Leeds, pp. 179-207. https://doi.org/10.1108/S0731-9053(2011)000027A010
Publisher
:Emerald Group Publishing Limited
Copyright © 2011, Emerald Group Publishing Limited