On testing for sphericity with non-normality in a fixed effects panel data model
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DOI: 10.1016/j.spl.2014.12.017
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- Badi H. Baltagi & Chihwa Kao & Bin Peng, 2014. ""On Testing for Sphericity with Non-normality in a Fixed Effects Panel Data Model," Center for Policy Research Working Papers 176, Center for Policy Research, Maxwell School, Syracuse University.
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Citations
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Cited by:
- Giovanni Millo, 2024. "An Ad Hoc Procedure for Testing Serial Correlation in Spatial Fixed-Effects Panels," Mathematics, MDPI, vol. 12(10), pages 1-18, May.
- M. Hashem Pesaran, 2021.
"General diagnostic tests for cross-sectional dependence in panels,"
Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
- Pesaran, M.H., 2004. "‘General Diagnostic Tests for Cross Section Dependence in Panels’," Cambridge Working Papers in Economics 0435, Faculty of Economics, University of Cambridge.
- Pesaran, M. Hashem, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," IZA Discussion Papers 1240, Institute of Labor Economics (IZA).
- M. Hashem Pesaran, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," CESifo Working Paper Series 1229, CESifo.
- Peng, Bin & Shen, Xinyuan & Ye, Jinqi, 2019. "Testing for sphericity in a fixed effects panel data model with time-varying variances," Economics Letters, Elsevier, vol. 181(C), pages 85-89.
- Rafaela Dezidério dos Santos Rocha & Márcio Laurini, 2023. "Factor Sufficiency in Asset Pricing: An Application for the Brazilian Market," IJFS, MDPI, vol. 11(4), pages 1-31, December.
- Zhang, Xiaoxu & Zhao, Ping & Feng, Long, 2022. "Robust sphericity test in the panel data model," Statistics & Probability Letters, Elsevier, vol. 182(C).
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More about this item
Keywords
Sphericity; Panel data; Cross-sectional dependence; John test;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
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