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Seemingly Unrelated Regressions With Spatial Error Components

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  • BALTAGI B-H.
  • PIROTTE

Abstract

This paper considers various estimators using panel data seemingly unrelated regressions (SUR) with spatial error correlation. The true data generating process is assumed to be SUR with spatial error of the autoregressive or moving average type. Moreover, the remainder term of the spatial process is assumed to follow an error component structure. Both maximum likelihood and generalized moments (GM) methods of estimation are used. Using Monte Carlo experiments, we check the performance of these estimators and their forecasts under misspecification of the spatial error process, various spatial weight matrices, and heterogeneous versus homogeneous panel data models.
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Suggested Citation

  • Baltagi B-H. & Pirotte, 2010. "Seemingly Unrelated Regressions With Spatial Error Components," Working Papers ERMES 0902, ERMES, University Paris 2.
    • Handle: RePEc:erm:papers:0902
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    File URL: http://ermes.u-paris2.fr/doctrav/0902
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    References listed on IDEAS

    as
    1. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    2. Baltagi, Badi H. & Rich, Daniel P., 2005. "Skill-biased technical change in US manufacturing: a general index approach," Journal of Econometrics, Elsevier, vol. 126(2), pages 549-570, June.
    3. Howrey, E. Philip & Varian, Hal R., 1984. "Estimating the distributional impact of time-of-day pricing of electricity," Journal of Econometrics, Elsevier, vol. 26(1-2), pages 65-82.
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    5. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    6. Badi H. Baltagi & Peter Egger & Michael Pfaffermayr, 2007. "A Monte Carlo Study for Pure and Pretest Estimators of a Panel Data Model with Spatially Autocorrelated Disturbances," Annals of Economics and Statistics, GENES, issue 87-88, pages 11-38.
    7. repec:adr:anecst:y:2007:i:87-88:p:02 is not listed on IDEAS
    8. Peter Egger & Michael Pfaffermayr, 2004. "Distance, trade and FDI: a Hausman-Taylor SUR approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 227-246.
    9. Baltagi, Badi H & Griffin, James M & Rich, Daniel P, 1995. "Airline Deregulation: The Cost Pieces of the Puzzle," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(1), pages 245-260, February.
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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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