A Bayesian approach to misclassified binary response: female employment and intimate partner violence in urban India. Issue 20 (28th November 2017)

• Record Type: Journal Article
• Authors: Chin, Yoo-Mi; Song, Joon Jin; Stamey, James D.
• Is Part Of: Applied economics letters. Volume 24:Issue 20(2017)
• Page Start: 1439
• Page End: 1442
• Publication Date: 2017-11-28
• Subjects: Bayesian misclassification model -- propensity score matching -- intimate partner violence -- female employment; C11 -- J12 -- J21; Economics -- Periodicals; Economics, Mathematical -- Periodicals; 330
• DOI: 10.1080/13504851.2017.1282139
• Languages: English
• ISSNs: 1350-4851

Abstract

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).