Publication Type
Journal Article
Version
acceptedVersion
Publication Date
12-2013
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
Citation
SU, Liangjun and CHEN, Qihui.
Testing Homogeneity in Panel Data Models with Interactive Fixed Effects. (2013). Econometric Theory. 29, (6), 1079-1135.
Available at: https://ink.library.smu.edu.sg/soe_research/1434
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1017/S0266466613000017