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Panel data models extended to spatial error autocorrelation or a spatially lagged dependent variable

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  • Elhorst, J. Paul

    (Groningen University)

Abstract

This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged dependent variable. In particular, it focuses on the specification and estimation of four panel data models commonly used in applied research: the fixed effects model, the random effects model, the fixed coefficients model and the random coefficients model. This survey should prove useful for researchers in this area.

Suggested Citation

  • Elhorst, J. Paul, 2001. "Panel data models extended to spatial error autocorrelation or a spatially lagged dependent variable," Research Report 01C05, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    • Handle: RePEc:gro:rugsom:01c05
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    File URL: http://irs.ub.rug.nl/ppn/217984169
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    Cited by:

    1. Riccardo Corradini, 2006. "Advanced estimates of regional accounts: an alternative approach by spatial panels," Computing in Economics and Finance 2006 287, Society for Computational Economics.
    2. Kukenova, Madina & Monteiro, Jose-Antonio, 2008. "Spatial Dynamic Panel Model and System GMM: A Monte Carlo Investigation," MPRA Paper 11569, University Library of Munich, Germany, revised Nov 2008.
    3. Hall, Stephen G. & Guo, Qian, 2012. "Spatial panel data analysis with feasible GLS techniques: An application to the Chinese real exchange rate," Economic Modelling, Elsevier, vol. 29(1), pages 41-47.
    4. Charles Plaigin, 2009. "Exploratory study on the presence of cultural and institutional growth spillovers," DULBEA Working Papers 09-03.RS, ULB -- Universite Libre de Bruxelles.
    5. Sylvie Charlot & Sonia Paty, 2007. "Market access effect and local tax setting: evidence from French panel data," Journal of Economic Geography, Oxford University Press, vol. 7(3), pages 247-263, May.
    6. Sylvie Charlot & Sonia Paty, 2006. "Taxable Agglomeration Rent: Evidence From A Panel Data," INRA UMR CESAER Working Papers 2006/1, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
    7. Giuseppe Arbia & Gianfranco Piras, 2004. "Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects," ERSA conference papers ersa04p524, European Regional Science Association.
    8. Barreira, Ana, 2011. "Spatial Strategic Interaction on Public Expenditures of The Northern Portuguese Local Governments," Spatial and Organizational Dynamics Discussion Papers 2011-2, CIEO-Research Centre for Spatial and Organizational Dynamics, University of Algarve.
    9. José-Antonio Monteiro & Madina Kukenova, 2008. "Does Lax Environmental Regulation Attract FDI When Accounting For "Third-Country" Effects?," IRENE Working Papers 08-01, IRENE Institute of Economic Research.
    10. Gilio, Leandro & Azanha Ferraz Dias de Moraes, Márcia, 2016. "Sugarcane industry's socioeconomic impact in São Paulo, Brazil: A spatial dynamic panel approach," Energy Economics, Elsevier, vol. 58(C), pages 27-37.

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