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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. Bernard Lejeune & Olivier Evrard, 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.
  2. Philippe Gagnepain & Marc Ivaldi, 2002. "Incentive Regulatory policies: The Case of Public Transit Systems in France," Post-Print hal-00622846, HAL.
  3. 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).
  4. 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.
  5. Won Koh & Byoung Cheol Jung & Badi H. Baltagi & Seuck Heun Song, 2004. "Testing for Serial Correlation, Spatial Autocorrelation and Random Effects," Econometric Society 2004 Australasian Meetings 338, Econometric Society.
  6. Badi H. Baltagi & Georges Bresson & Alain Pirotte, 2005. "Joint LM Test for Homoskedasticity in a One-Way error Component Model," Center for Policy Research Working Papers 72, Center for Policy Research, Maxwell School, Syracuse University.
  7. 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.
  8. Biorn,E., 1999. "Estimating regression systems from unbalanced panel data : a stepwise maximum likelihood procedure," Memorandum 20/1999, Oslo University, Department of Economics.
  9. 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.
  10. Badi H. Baltagi, 2006. "Random effects and Spatial Autocorrelations with Equal Weights," Center for Policy Research Working Papers 89, Center for Policy Research, Maxwell School, Syracuse University.
  11. 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.
  12. Badi H. Baltagi & Byoung Cheol Jung & Seuck Heun Song, 2008. "Testing for Heteroskedasticity and Serial Correlation in a Random Effects Panel Data Model," Center for Policy Research Working Papers 111, Center for Policy Research, Maxwell School, Syracuse University.
  13. 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.
  14. 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.
  15. 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.
  16. Philippe Gagnepain, 1998. "Structures productives de l'industrie du transport urbain et effets des schémas réglementaires," Économie et Prévision, Programme National Persée, vol. 135(4), pages 95-107.
  17. repec:inr:wpaper:246125 is not listed on IDEAS
  18. 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.
  19. 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.
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