Improved GMM estimation of the spatial autoregressive error model
AbstractWe suggest an improved GMM estimator for the autoregressive parameter of a spatial autoregressive error model by taking into account that unobservable regression disturbances are different from observable regression residuals.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 108 (2010)
Issue (Month): 1 (July)
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Web page: http://www.elsevier.com/locate/ecolet
GMM estimation Spatial autoregression Regression residuals;
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- Viliam Druska & William C. Horrace, 2002. "Generalized Moments Estimation for Spatial Panel Data: Indonesian Rice Farming," Econometrics 0206004, EconWPA, revised 11 May 2003.
- Doğan, Osman & Taşpınar, Süleyman, 2013. "GMM estimation of spatial autoregressive models with moving average disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 903-926.
- Osman Dogan, 2013. "Heteroskedasticity of Unknown Form in Spatial Autoregressive Models with Moving Average Disturbance Term," Working Papers 002, City University of New York Graduate Center, Ph.D. Program in Economics.
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