Browsing School of Pure and Applied Sciences by Subject "Bias"
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Distributive and Quantile Treatment Effects: Imputation Based Estimators Approach
(Journal of Statistical and Econometric Methods, 2018)This paper develops two new classes of estimators measuring the distributive effects of a treatment on a population. Using imputation methods, empirical quantile and bootstrap simulations, we managed to define and study ...