Statistical Inference for Single-index Panel Data Models
type="main" xml:id="sjos12067-abs-0001"> <title type="main">Abstract</title>We study estimation and hypothesis testing in single-index panel data models with individual effects. Through regressing the individual effects on the covariates linearly, we convert the estimation problem in single-index panel data models to that in partially linear single-index models. The conversion is valid regardless of the individual effects being random or fixed. We propose an estimating equation approach, which has a desirable double robustness property. We show that our method is applicable in single-index panel data models with heterogeneous link functions. We further design a chi-squared test to evaluate whether the individual effects are random or fixed. We conduct simulations to demonstrate the finite sample performance of the method and conduct a data analysis to illustrate its usefulness.
Year of publication: |
2014
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Authors: | Zhu, Liping ; You, Jinhong ; Xu, Qunfang |
Published in: |
Scandinavian Journal of Statistics. - Danish Society for Theoretical Statistics, ISSN 0303-6898. - Vol. 41.2014, 3, p. 830-843
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Publisher: |
Danish Society for Theoretical Statistics Finnish Statistical Society Norwegian Statistical Association Swedish Statistical Association |
Saved in:
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