Bayesian Quantile Regression for Misclassified Binary Data with an Application to Spousal Violence Reporting
误分类二元数据的贝叶斯分位数回归及配偶暴力报告应用
Survey responses on socially undesirable behaviors, such as self-reported spousal violence, are often subject to underreporting due to social stigma, fear of retaliation, and other reporting pressures. When such data are analyzed using standard econometric models that focus on conditional means, such as probit and logit models, the resulting estimates are likely to be biased and can obscure heterogeneity in covariate effects. To address these challenges, we propose a…