Now showing items 1-3 of 3

    • Distributive and Quantile Treatment Effects: Imputation Based Estimators Approach 

      Dongmezo, Paul. B. Kenfac; Mwita, Peter. N.; Tchwaket, I. R. Kamga (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 ...
    • Imputation Based Treatment Effect Estimators 

      Dongmezo, P. B. Kenfac; Mwita, Peter N.; Tchwaket, I. R. Kamga (2017-09-15)
      The problem of counterfactual and control group is at the core of impact evaluation. Almost all existing methods aim to find the best control group to compare with the treated group. The aim of this study is to use ...
    • Performance of Imputation Methods towards Increasing Percentage of Missing Values 

      Brice, Kenfac D. P.; Mwita, Peter N.; Roger, Kamga T. I. (Machakos University, 2018-04)
      The aim of this paper is to study the performance of eightdifferent existing imputation methodsused on simulatedand real dataset. The methods are compared in term of their ability to estimate the missing observationsand ...