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Instrument Variable Estimation of a Spatial Autoregressive Panel Model with Random Effects

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Abstract

This paper extends the instrumental variable estimators of Kelejian and Prucha (1998) and Lee (2003) proposed for the cross-sectional spatial autoregressive model to the random effects spatial autoregressive panel data model. It also suggests an extension of the Baltagi (1981) error component 2SLS estimator to this spatial panel model.

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File URL: http://www.maxwell.syr.edu/uploadedFiles/cpr/publications/working_papers2/wp127.pdf
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Bibliographic Info

Paper provided by Center for Policy Research, Maxwell School, Syracuse University in its series Center for Policy Research Working Papers with number 127.

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Length: 9 pages
Date of creation: Jan 2011
Date of revision:
Handle: RePEc:max:cprwps:127

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Keywords: Panel Data; Spatial Model; Two Stage Least Squares; Error Components.;

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  1. Baltagi, Badi H. & Liu, Long, 2009. "A note on the application of EC2SLS and EC3SLS estimators in panel data models," Statistics & Probability Letters, Elsevier, vol. 79(20), pages 2189-2192, October.
  2. 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.
  3. Cornwell, Christopher & Schmidt, Peter & Wyhowski, Donald, 1992. "Simultaneous equations and panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 151-181.
  4. Baltagi, Badi H., 1981. "Simultaneous equations with error components," Journal of Econometrics, Elsevier, vol. 17(2), pages 189-200, November.
  5. 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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Cited by:
  1. Kim, Kijin, 2013. "The Effects of the Clean Air Act on Local Industrial Wages," 6th Annual CRAE, April 5-6, 2013, Columbus, Ohio 147489, Midwest Graduate Student Conference on Regional and Applied Economics (CRAE), The Ohio State University, Department of Agricultural, Environmental and Development Economics.
  2. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2013. "Spatial Lag Models with Nested Random Effects: An Instrumental Variable Procedure with an Application to English House Prices," Center for Policy Research Working Papers 161, Center for Policy Research, Maxwell School, Syracuse University.
  3. Drivas, Kyriakos & Economidou, Claire & Karkalakos, Sotiris, 2014. "Spatial Aspects of Innovation Activity in the US," MPRA Paper 57861, University Library of Munich, Germany.
  4. Álvarez, Inmaculada & Barbero, Javier, 2013. "Knowledge Spillovers in Neoclassical Growth Model: an extension with Public Sector," Working Papers in Economic Theory 2013/07, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).

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