Publication Type

Journal Article

Publication Date

1-2013

Abstract

This paper proposes a residual-based LM test for slope homogeneity in large dimensional panel data models with interactive fixed effects. We first run the panel regression under the null to obtain the restricted residuals, and then use them to construct our LM test statistic. We show that after being appropriately centered and scaled, our test statistic is asymptotically normally distributed under the null and a sequence of Pitman local alternatives. The asymptotic distributional theories are established under fairly general conditions which allow for both lagged dependent variables and conditional heteroskedasticity of unknown form by relying on the concept of conditional strong mixing. To improve the finite sample performance of the test, we also propose a bootstrap procedure to obtain the bootstrap p-values and justify its validity. Monte Carlo simulations suggest that the test has correct size and satisfactory power. We apply our test to study the OECD economic growth model.

Keywords

Conditional strong mixing, Cross-sectional dependence, Heterogeneity, Interactive fixed effects, Large panels, LM test, Principal component analysis

Discipline

Econometrics

Research Areas

Econometrics

Publication

Econometric Theory

Volume

29

Issue

6

First Page

1079

Last Page

1135

ISSN

0266-4666

Identifier

10.1017/S0266466613000017

Publisher

Cambridge University Press

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=9068745

Included in

Econometrics Commons

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