A NONPARAMETRIC HYPOTHESIS TEST VIA THE BOOTSTRAP RESAMPLING

This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The test utilizes the nonparametric kernel regression method to estimate a measure of distance between the models stated under the null hypothesis. The bootstraped version of the test allows to approximate errors involved in the asymptotic hypothesis test.

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Year of publication:	2001
Authors:	Temel, Tugrul T.
Institutions:	Agricultural and Applied Economics Association - AAEA
Subject:	Hypothesis test \| the bootstrap \| nonparametric regression \| omitted variables \| Research Methods/ Statistical Methods

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Extent:	application/pdf
Series:	2001 Annual meeting, August 5-8, Chicago, IL.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series 2001 Annual meeting, August 5-8, Chicago, IL Number 20600
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005807722