@article{ref1,
title="A Bayesian approach to misclassified binary response: female employment and intimate partner violence in urban India",
journal="Applied economics letters",
year="2017",
author="Chin, Yoo-Mi and Song, Joon Jin and Stamey, James D.",
volume="24",
number="20",
pages="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).<p /> <p>Language: en</p>",
language="en",
issn="1350-4851",
doi="10.1080/13504851.2017.1282139",
url="http://dx.doi.org/10.1080/13504851.2017.1282139"
}