A Bayesian approach to misclassified binary response: female employment and intimate partner violence in urban India

Yoo-Mi Chin (), Joon Jin Song and James Stamey

Applied Economics Letters, 2017, vol. 24, issue 20, 1439-1442

Abstract: We examine the effect of female employment on the odds of physical spousal violence using a Bayesian misclassification model combined with propensity score regression estimation. While a classical propensity score model finds a significant violence-provoking effect of female employment, our model finds no evidence of a significant effect. This suggests that misleading inferences are caused by falsely small standard errors in a model that does not account for uncertainties around propensity scores. Further, we confirm our misclassification model as a preferred specification using Deviance Information Criterion (DIC).

Date: 2017
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DOI: 10.1080/13504851.2017.1282139

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