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Spatial Dynamic Panel Model and System GMM: A Monte Carlo Investigation

  • Kukenova, Madina
  • Monteiro, Jose-Antonio

Since there is so far no estimator that allows to estimate a dynamic panel model that includes a spatial lag as well as other potential endogenous variables. This paper wants to determine if it is suitable to instrument the spatial lag variable (which is by de�finition endogenous/simultaneous) using the instruments proposed by system GMM, i.e. lagged spatial lag values. The Monte Carlo investigation highlights the possibility to estimate a dynamic spatial lag model using the extended GMM proposed by Arellano and Bover (1995) and Blundell and Bover (1998), especially when N and T are large.

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File URL: https://mpra.ub.uni-muenchen.de/11569/1/MPRA_paper_11569.pdf
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File URL: https://mpra.ub.uni-muenchen.de/14319/2/MPRA_paper_14319.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 11569.

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Date of creation: Jul 2008
Date of revision: Nov 2008
Handle: RePEc:pra:mprapa:11569
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  1. Martial Foucault & Thierry Madies & Sonia Paty, 2008. "Public Spending Interactions and Local Politics. Empirical Evidence from French Municipalities," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00339812, HAL.
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  5. Elhorst, J. Paul, 2010. "Dynamic panels with endogenous interaction effects when T is small," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 272-282, September.
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  7. Badi H. Baltagi & Peter Egger & Michael Pfaffermayr, 2005. "Estimating Models of Complex FDI: Are There Third-Country Effects?," Center for Policy Research Working Papers 73, Center for Policy Research, Maxwell School, Syracuse University.
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  9. Keller, Wolfgang & Shiue, Carol Hua, 2003. "The Origins of Spatial Interaction," CEPR Discussion Papers 4138, C.E.P.R. Discussion Papers.
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  11. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
  12. Hsaio, Cheng & Pesaran, M. Hashem & Tahmiscioglu, A. Kamil, 1998. "Maximum Likelihood Estimation of Fixed Effects Dynamic Panel Data Models Covering Short Time Periods," Cambridge Working Papers in Economics 9826, Faculty of Economics, University of Cambridge.
  13. 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.
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  19. Lung-fei Lee, 2003. "Best Spatial Two-Stage Least Squares Estimators for a Spatial Autoregressive Model with Autoregressive Disturbances," Econometric Reviews, Taylor & Francis Journals, vol. 22(4), pages 307-335.
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  22. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
  23. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
  24. repec:dgr:rugsom:01c05 is not listed on IDEAS
  25. repec:dgr:rugsom:03c27 is not listed on IDEAS
  26. 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).
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