Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/61225 
Year of Publication: 
1998
Series/Report no.: 
SFB 373 Discussion Paper No. 1998,79
Publisher: 
Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes, Berlin
Abstract: 
A procedure for testing equality across nonparametric regressions is proposed. The procedure allows for any dimension of the explanatory variables and for any number of subsamples. We consider the case of random explanatory variables and allow the designs of the regressors and the number of observations to dier across subsamples. The division into subsamples is defined through a variable C which can be either fixed or random. In the case of a random C, our procedure is a general test of significance for qualitative variables in a nonparametric regression. In the case of a fixed C, our procedure provides a 'nonparametric analysis of covariance'. In both case, the test is a one-sided normal test and is consistent against all alternatives. We study its small sample behavior through Monte-Carlo simulations.
Subjects: 
Nonparametric regression
Hypothesis testing
Qualitative variables
Covariance analysis
JEL: 
C52
C14
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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