Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/67176
Authors: 
Henderson, Daniel J.
Maasoumi, Esfandiar
Year of Publication: 
2012
Series/Report no.: 
Discussion Paper Series, Forschungsinstitut zur Zukunft der Arbeit 6874
Abstract: 
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.
Subjects: 
bootstrap
GAIN
nonparametric
rehabilitation
stochastic dominance
treatment effects
JEL: 
C14
Document Type: 
Working Paper

Files in This Item:
File
Size
264.92 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.