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Citations for "Multivariate error components analysis of linear and nonlinear regression models by maximum likelihood"

by Magnus, Jan R.

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  1. Baltagi B-H. & Bresson G. & Pirotte A., 2004. "Joint LM test for homoskedasticity in a one-way error component model," Working Papers ERMES 0408, ERMES, University Paris 2.
  2. Won Koh & Badi H. Baltagi & Seuck Heun Song, 2004. "Testing for Serial Correlation, Spatial Autocorrelation and Random Effects," Econometric Society 2004 Far Eastern Meetings 415, Econometric Society.
  3. Luca Agnello & Ricardo M. Sousa, 2014. "How Does Fiscal Consolidation Impact on Income Inequality?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 702-726, December.
  4. Gagnepain, P. & Ivaldi, M., 1999. "Incentive Regulatory Policies: the Case of Public Transit Systems in France," Papers 99.515, Toulouse - GREMAQ.
  5. repec:inr:wpaper:246125 is not listed on IDEAS
  6. Ouardighi, Jalal El, 2002. "Dépendance spatiale sur données de panel : application à la relation Brevets-R&D au niveau régional," L'Actualité Economique, Société Canadienne de Science Economique, vol. 78(1), pages 67-86, Mars.
  7. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.
  8. Baltagi, Badi H. & Jung, Byoung Cheol & Song, Seuck Heun, 2010. "Testing for heteroskedasticity and serial correlation in a random effects panel data model," Journal of Econometrics, Elsevier, vol. 154(2), pages 122-124, February.
  9. Su, Liangjun & Yang, Zhenlin, 2015. "QML estimation of dynamic panel data models with spatial errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 230-258.
  10. Georges Bresson & Cheng Hsiao & Alain Pirotte, 2011. "Assessing the contribution of R&D to total factor productivity—a Bayesian approach to account for heterogeneity and heteroskedasticity," AStA Advances in Statistical Analysis, Springer, vol. 95(4), pages 435-452, December.
  11. Philippe Gagnepain, 1998. "Structures productives de l'industrie du transport urbain et effets des schémas réglementaires," Post-Print hal-00622819, HAL.
  12. Biorn,E., 1999. "Estimating regression systems from unbalanced panel data : a stepwise maximum likelihood procedure," Memorandum 20/1999, Oslo University, Department of Economics.
  13. Zhenlin Yang, 2006. "On Joint Modelling and Testing for Local and Global Spatial Externalities," Development Economics Working Papers 22487, East Asian Bureau of Economic Research.
  14. Olivier Evrard & Bernard Lejeune, 1998. "Coût dans le secteur de la distribution d'électricité : économies d'échelle, économies de densité et formes institutionnelles," Économie et Prévision, Programme National Persée, vol. 135(4), pages 43-56.
  15. Baltagi, Badi H. & Bresson, Georges, 2010. "Maximum Likelihood Estimation and Lagrange Multiplier Tests for Panel Seemingly Unrelated Regressions with Spatial Lag and Spatial Errors: An Application to Hedonic Housing Prices in Paris," IZA Discussion Papers 5227, Institute for the Study of Labor (IZA).
  16. Xiaokun Wang & Kara Kockelman, 2007. "Specification and estimation of a spatially and temporally autocorrelated seemingly unrelated regression model: application to crash rates in China," Transportation, Springer, vol. 34(3), pages 281-300, May.
  17. Baltagi, Badi H., 2006. "Random Effects And Spatial Autocorrelation With Equal Weights," Econometric Theory, Cambridge University Press, vol. 22(05), pages 973-984, October.
  18. Parent, Olivier & LeSage, James P., 2012. "Spatial dynamic panel data models with random effects," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 727-738.
  19. Yang, Zhenlin & Li, Chenwei & Tse, Y.K., 2006. "Functional form and spatial dependence in dynamic panels," Economics Letters, Elsevier, vol. 91(1), pages 138-145, April.
  20. Ming He & Kuan-Pin Lin, 2015. "Testing in a Random Effects Panel Data Model with Spatially Correlated Error Components and Spatially Lagged Dependent Variables," Econometrics, MDPI, Open Access Journal, vol. 3(4), pages 761-796, November.
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