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On spatial econometric models, spillover effects, and W

Author

Listed:
  • Paul Elhorst
  • Solmaria Halleck Vega
Abstract
Spatial econometrics has recently been appraised in a theme issue of the Journal of Regional Science. Partridge et al. (2012) provide an overview of the three contributing papers, the most critical being Gibbons and Overman (2012). Although some of the critiques raised are valid, they are issues that can be overcome by improving applied spatial econometric work. There has been excessive use of so-called global spillover models and too much emphasis on statistical testing procedures. Theory or the specific context of the empirical application should be the main guide for specifying a model. Especially the so-called SLX model merits more attention, as it produces local spillovers that are different for each explanatory variable in the equation and it allows for the parameterization of the spatial weights matrix W. The latter is a key contribution since a major concern of spatial econometric modeling, as is thoroughly discussed in Corrado and Fingleton (2012), is the a priori specification of W. This paper highlights these issues with an empirical application and recently proposed approaches for selecting a model specification, which are useful and promising steps forward for applied work involving spatial econometrics.

Suggested Citation

  • Paul Elhorst & Solmaria Halleck Vega, 2013. "On spatial econometric models, spillover effects, and W," ERSA conference papers ersa13p222, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa13p222
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    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa13/ERSA2013_paper_00222.pdf
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    References listed on IDEAS

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    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. Daniel P. McMillen, 2010. "Issues In Spatial Data Analysis," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 119-141, February.
    3. Fischer, Manfred M. & Scherngell, Thomas & Reismann, Martin, 2008. "Knowledge spillovers and total factor productivity. Evidence using a spatial panel data model," MPRA Paper 77762, University Library of Munich, Germany.
    4. 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.
    5. repec:ebl:ecbull:v:3:y:2005:i:57:p:1-6 is not listed on IDEAS
    6. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    7. Baltagi, Badi H. & Levin, Dan, 1992. "Cigarette taxation: Raising revenues and reducing consumption," Structural Change and Economic Dynamics, Elsevier, vol. 3(2), pages 321-335, December.
    8. Cem Ertur & Wilfried Koch, 2007. "Growth, technological interdependence and spatial externalities: theory and evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1033-1062.
    9. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    10. Pace, R Kelley & Barry, Ronald & Clapp, John M. & Rodriquez, Mauricio, 1998. "Spatiotemporal Autoregressive Models of Neighborhood Effects," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 15-33, July.
    11. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    12. Giuseppe Arbia & Bernard Fingleton, 2008. "New spatial econometric techniques and applications in regional science," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 311-317, August.
    13. Kelejian, Harry H. & Piras, Gianfranco, 2014. "Estimation of spatial models with endogenous weighting matrices, and an application to a demand model for cigarettes," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 140-149.
    14. Clapp, John M & Rodriguez, Mauricio, 1999. "Erratum: Spatiotemporal Autoregressive Models of Neighborhood Effects," The Journal of Real Estate Finance and Economics, Springer, vol. 19(1), pages 1-85, July.
    15. Kirby, Dustin K. & LeSage, James P., 2009. "Changes in commuting to work times over the 1990 to 2000 period," Regional Science and Urban Economics, Elsevier, vol. 39(4), pages 460-471, July.
    16. Kazuhiko Kakamu, 2005. "Bayesian Estimation of A Distance Functional Weight Matrix Model," Economics Bulletin, AccessEcon, vol. 3(57), pages 1-6.
    17. Lung-Fei Lee, 2004. "Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models," Econometrica, Econometric Society, vol. 72(6), pages 1899-1925, November.
    18. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    19. R. Pace & Shuang Zhu, 2012. "Separable spatial modeling of spillovers and disturbances," Journal of Geographical Systems, Springer, vol. 14(1), pages 75-90, January.
    20. LeSage, James P. & Pace, Robert Kelley, 2011. "Pitfalls in Higher Order Model Extensions of Basic Spatial Regression Methodology," The Review of Regional Studies, Southern Regional Science Association, vol. 41(1), pages 13-26, Summer.
    21. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    22. Daniel P. McMillen, 2012. "Perspectives On Spatial Econometrics: Linear Smoothing With Structured Models," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 192-209, May.
    23. Mark D. Partridge & Marlon Boarnet & Steven Brakman & Gianmarco Ottaviano, 2012. "Introduction: Whither Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 167-171, May.
    24. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.
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    More about this item

    Keywords

    Spatial econometric models; spillover effects; spatial weights matrix;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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