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Testing for random individual and time effects using a Gauss-Newton regression

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  • Baltagi, Badi H.

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  • Baltagi, Badi H., 1996. "Testing for random individual and time effects using a Gauss-Newton regression," Economics Letters, Elsevier, vol. 50(2), pages 189-192, February.
    • Handle: RePEc:eee:ecolet:v:50:y:1996:i:2:p:189-192
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    References listed on IDEAS

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    1. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    2. Fuller, Wayne A. & Battese, George E., 1974. "Estimation of linear models with crossed-error structure," Journal of Econometrics, Elsevier, vol. 2(1), pages 67-78, May.
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    Cited by:

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    2. O'Brien, Raymond & Patacchini, Eleonora, 2003. "Testing the exogeneity assumption in panel data models with "non classical" disturbances," Discussion Paper Series In Economics And Econometrics 0302, Economics Division, School of Social Sciences, University of Southampton.
    3. O'Brien, Raymond & Patacchini, Eleonora, 2003. "Testing the exogeneity assumption in panel data models with "non classical" disturbances," Discussion Paper Series In Economics And Econometrics 302, Economics Division, School of Social Sciences, University of Southampton.
    4. Dimitrios Paparas & Christian Richter, 2015. "Fiscal policy and economic growth: Empirical evidence from the European Union," Working Papers 2015.06, International Network for Economic Research - INFER.
    5. Dimitrios PAPARAS & Christian RICHTER & Alexandros PAPARAS, 2015. "Fiscal Policy and Economic Growth, Empirical Evidence in European Union," Turkish Economic Review, KSP Journals, vol. 2(4), pages 239-268, December.
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    8. Badi H. Baltagi, 1999. "Specification Tests in Panel Data Models Using Artificial Regressions," Annals of Economics and Statistics, GENES, issue 55-56, pages 277-297.
    9. Erling Häggström, 2002. "Properties of Honda’s test of random individual effects in non-linear regressions," Statistical Papers, Springer, vol. 43(2), pages 177-196, April.

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