TY  - RPRT
        AU  - Henderson, Daniel J.
AU  - Maasoumi, Esfandiar
        TI  - Searching for Rehabilitation in Nonparametric Regression Models with Exogenous Treatment Assignment
        PY  - 2012/Sep/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 6874
        UR  - https://www.iza.org/publications/dp6874
        AB  - This paper offers some new directions in the analysis of nonparamertric models with exogenous treatment assignment. The nonparametric approach opens the door to the examination of potentially different distributed outcomes. When combined with cross-validation, it also identifies potentially irrelevant variables and linear versus nonlinear effects. Examination of the distribution of effects requires distribution metrics, such as stochastic dominance tests for ranking based on a wide range of criterion functions, including dollar valuations. We can identify subgroups with different treatment outcomes. We offer an empirical demonstration based on the GAIN data. In the case of one covariate (English as the primary language), there is support for a statistical inference of uniform first order dominant treatment effects. We also find several others that indicate second and higher order dominance rankings to a statistical degree of confidence.
        KW  - bootstrap
KW  - stochastic dominance
KW  - nonparametric
KW  - treatment effects
KW  - rehabilitation
KW  - GAIN
        ER  -