A Bayesian quantile regression framework for misclassified binary outcomes is proposed and applied to spousal violence data, revealing higher underreporting than overreporting and altered conclusions about associations with employment and wealth.
Journal of Applied Statistics , volume =
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Modeling Misclassification in Spousal Violence Reporting: Evidence from Bayesian Quantile Regression
A Bayesian quantile regression framework for misclassified binary outcomes is proposed and applied to spousal violence data, revealing higher underreporting than overreporting and altered conclusions about associations with employment and wealth.