Constant coefficient tests for random coefficient regression


Autoria(s): Delicado, Pedro; Romo, Juan
Contribuinte(s)

Universitat Pompeu Fabra. Departament d'Economia i Empresa

Data(s)

15/09/2005

Resumo

Random coefficient regression models have been applied in differentfields and they constitute a unifying setup for many statisticalproblems. The nonparametric study of this model started with Beranand Hall (1992) and it has become a fruitful framework. In thispaper we propose and study statistics for testing a basic hypothesisconcerning this model: the constancy of coefficients. The asymptoticbehavior of the statistics is investigated and bootstrapapproximations are used in order to determine the critical values ofthe test statistics. A simulation study illustrates the performanceof the proposals.

Identificador

http://hdl.handle.net/10230/522

Idioma(s)

eng

Direitos

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info:eu-repo/semantics/openAccess

<a href="http://creativecommons.org/licenses/by-nc-nd/3.0/es/">http://creativecommons.org/licenses/by-nc-nd/3.0/es/</a>

Palavras-Chave #Statistics, Econometrics and Quantitative Methods #goodness-of-fit #linear regression #random coefficients
Tipo

info:eu-repo/semantics/workingPaper