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A Portmanteau Test for Correlation in Short Panels

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  • Jochmans, K.

Abstract

Inoue and Solon (2006, A Portmanteau test for serially correlated errors in fixed effects models, Econometric Theory 22, 835{851) presented an elegant approach to test for serial correlation of arbitrary form in fixed-effect models for short panel data. Their approach requires the choice of a regularization parameter that may severely affect the power of the test and for which no optimal selection rule is available. We present a modified version of their test that uses strictly more information and does not require any regularization parameter. Monte Carlo simulations are provided to illustrate the power gains of our procedure.

Suggested Citation

  • Jochmans, K., 2018. "A Portmanteau Test for Correlation in Short Panels," Cambridge Working Papers in Economics 1886, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:1886
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    1. Inoue, Atsushi & Solon, Gary, 2006. "A Portmanteau Test For Serially Correlated Errors In Fixed Effects Models," Econometric Theory, Cambridge University Press, vol. 22(5), pages 835-851, October.
    2. Okui, Ryo, 2009. "Testing serial correlation in fixed effects regression models based on asymptotically unbiased autocorrelation estimators," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2897-2909.
    3. David M. Drukker, 2003. "Testing for serial correlation in linear panel-data models," Stata Journal, StataCorp LP, vol. 3(2), pages 168-177, June.
    4. Baltagi, Badi H. & Wu, Ping X., 1999. "Unequally Spaced Panel Data Regressions With Ar(1) Disturbances," Econometric Theory, Cambridge University Press, vol. 15(6), pages 814-823, December.
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    1. Jochmans, K. & Verardi, V., 2019. "xtserialpm: A portmanteau test for serial correlation in a linear panel model," Cambridge Working Papers in Economics 1944, Faculty of Economics, University of Cambridge.
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