Paper #329

Título:

Constant coefficient tests for random coefficient regression

Autores:

Pedro Delicado y Juan Romo

Data:

Noviembre 1998

Resumen:

Random coefficient regression models have been applied in different fields and they constitute a unifying setup for many statistical problems. The nonparametric study of this model started with Beran and Hall (1992) and it has become a fruitful framework. In this paper we propose and study statistics for testing a basic hypothesis concerning this model: the constancy of coefficients. The asymptotic behavior of the statistics is investigated and bootstrap approximations are used in order to determine the critical values of the test statistics. A simulation study illustrates the performance of the proposals.

Palabras clave:

Goodness-of-fit, linear regression, random coefficients

Códigos JEL:

C12, C14, C15

Área de investigación:

Estadística, Econometría y Métodos Cuantitativos

Descargar el paper en formato PDF