IDEAS home Printed from https://ideas.repec.org/a/cai/ecoldc/ecop_155_0139.html
   My bibliography  Save this article

Économétrie spatiale : l'autocorrélation spatiale dans les modèles de régression linéaire

Author

Listed:
  • Julie Le Gallo

Abstract

The aim of this article is to describe the tools necessary to factor in automatic spatial correlation determined by the absence of independence between geographical observations, within the framework of linear regression models. While it is often accepted that spatial data in cross-sections are independent, this assumption is rarely justified. On the contrary, it needs to be tested systematically. After explaining the ways in which to model automatic spatial correlation, we therefore describe estimation and inference procedures geared to econometric models that factor in this effect explicitly. Lastly, we propose a general approach to test and factor in automatic spatial correlation in empirical work.

Suggested Citation

  • Julie Le Gallo, 2002. "Économétrie spatiale : l'autocorrélation spatiale dans les modèles de régression linéaire," Economie & Prévision, La Documentation Française, vol. 155(4), pages 139-157.
  • Handle: RePEc:cai:ecoldc:ecop_155_0139
    as

    Download full text from publisher

    File URL: http://www.cairn.info/load_pdf.php?ID_ARTICLE=ECOP_155_0139
    Download Restriction: free

    File URL: http://www.cairn.info/revue-economie-et-prevision-1-2002-4-page-139.htm
    Download Restriction: free
    ---><---

    Other versions of this item:

    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. Florax, Raymond & Folmer, Henk, 1992. "Specification and estimation of spatial linear regression models : Monte Carlo evaluation of pre-test estimators," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 405-432, September.
    3. 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.
    4. Heijmans, R.D.H. & Magnus, J.R., 1986. "Asymptotic normality of maximum likelihood estimators obtained from normally distributed but dependent observations," Other publications TiSEM 04646078-f0bf-4fe6-80a7-3, Tilburg University, School of Economics and Management.
    5. Magnus, Jan R., 1978. "Maximum likelihood estimation of the GLS model with unknown parameters in the disturbance covariance matrix," Journal of Econometrics, Elsevier, vol. 7(3), pages 281-312, April.
    6. BAUMONT, Catherine & ERTUR, Cem & LE GALLO, Julie, 2001. "A Spatial Econometric Analysis of Geographic Spillovers and Growth for European Regions, 1980-1995," LATEC - Document de travail - Economie (1991-2003) 2001-04, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    7. Heijmans, Risto D. H. & Magnus, Jan R., 1986. "Consistent maximum-likelihood estimation with dependent observations : The general (non-normal) case and the normal case," Journal of Econometrics, Elsevier, vol. 32(2), pages 253-285, July.
    8. Can, Ayse, 1992. "Specification and estimation of hedonic housing price models," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 453-474, September.
    9. LE GALLO, Julie, 2000. "Econométrie spatiale 1 -Autocorrélation spatiale," LATEC - Document de travail - Economie (1991-2003) 2000-05, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    10. A S Brandsma & R H Ketellapper, 1979. "A Biparametric Approach to Spatial Autocorrelation," Environment and Planning A, , vol. 11(1), pages 51-58, January.
    11. Harry H. Kelejian & Dennis P. Robinson, 1993. "A Suggested Method Of Estimation For Spatial Interdependent Models With Autocorrelated Errors, And An Application To A County Expenditure Model," Papers in Regional Science, Wiley Blackwell, vol. 72(3), pages 297-312, July.
    12. Harry H. Kelejian & Dennis P. Robinson, 1997. "Infrastructure Productivity Estimation And Its Underlying Econometric Specifications: A Sensitivity Analysis," Papers in Regional Science, Wiley Blackwell, vol. 76(1), pages 115-131, January.
    13. 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.
    14. Luc Anselin & Attila Varga & Zoltan Acs, 2008. "Local Geographic Spillovers Between University Research and High Technology Innovations," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 9, pages 95-121, Edward Elgar Publishing.
    15. Dubin, Robin A., 1998. "Spatial Autocorrelation: A Primer," Journal of Housing Economics, Elsevier, vol. 7(4), pages 304-327, December.
    16. Raymond J. G. M. Florax & Serge Rey, 1995. "The Impacts of Misspecified Spatial Interaction in Linear Regression Models," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax (ed.), New Directions in Spatial Econometrics, chapter 5, pages 111-135, Springer.
    17. Harry H. Kelejian & Ingmar R. Prucha, 1997. "Estimation of Spatial Regression Models with Autoregressive Errors by Two-Stage Least Squares Procedures: A Serious Problem," International Regional Science Review, , vol. 20(1-2), pages 103-111, April.
    18. L W Hepple, 1998. "Exact Testing for Spatial Autocorrelation among Regression Residuals," Environment and Planning A, , vol. 30(1), pages 85-108, January.
    19. Pace, R Kelley & Gilley, Otis W, 1997. "Using the Spatial Configuration of the Data to Improve Estimation," The Journal of Real Estate Finance and Economics, Springer, vol. 14(3), pages 333-340, May.
    20. Sergio Rey & Brett Montouri, 1999. "US Regional Income Convergence: A Spatial Econometric Perspective," Regional Studies, Taylor & Francis Journals, vol. 33(2), pages 143-156.
    21. Bera, Anil K. & Yoon, Mann J., 1993. "Specification Testing with Locally Misspecified Alternatives," Econometric Theory, Cambridge University Press, vol. 9(4), pages 649-658, August.
    22. Heijmans, Risto D. H. & Magnus, Jan R., 1986. "Asymptotic Normmality of Maximum Likelihood Estimators Obtained from Normally Distributed but Dependent Observations," Econometric Theory, Cambridge University Press, vol. 2(3), pages 374-412, December.
    23. repec:umd:umdeco:kelepruc is not listed on IDEAS
    24. Case, Anne C, 1991. "Spatial Patterns in Household Demand," Econometrica, Econometric Society, vol. 59(4), pages 953-965, July.
    25. Brueckner, Jan K., 1998. "Testing for Strategic Interaction Among Local Governments: The Case of Growth Controls," Journal of Urban Economics, Elsevier, vol. 44(3), pages 438-467, November.
    26. Kelejian, Harry H. & Robinson, Dennis P., 1992. "Spatial autocorrelation : A new computationally simple test with an application to per capita county police expenditures," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 317-331, September.
    27. Case, Anne C. & Rosen, Harvey S. & Hines, James Jr., 1993. "Budget spillovers and fiscal policy interdependence : Evidence from the states," Journal of Public Economics, Elsevier, vol. 52(3), pages 285-307, October.
    28. Can, Ayse & Megbolugbe, Isaac, 1997. "Spatial Dependence and House Price Index Construction," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 203-222, Jan.-Marc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tuffery, Laetitia, 2017. "The recreational services value of the nearby periurban forest versus the regional forest environment," Journal of Forest Economics, Elsevier, vol. 28(C), pages 33-41.
    2. Shanaka Herath & Johanna Choumert & Gunther Maier, 2015. "The value of the greenbelt in Vienna: a spatial hedonic analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 349-374, March.
    3. Julie Le Gallo, 2004. "Hétérogénéité spatiale. Principes et méthodes," Economie & Prévision, La Documentation Française, vol. 162(1), pages 151-172.
    4. Cassette, Aurélie & Paty, Sonia, 2006. "La concurrence fiscale entre communes est-elle plus intense en milieu urbain qu’en milieu rural ?," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 78.
    5. Jonas Kibala Kuma, 2020. "Regional integration, natural agglomerations and economic convergence in SADC : Econometric approach [Intégration régionale, agglomérations naturelles et convergence économique au sein de la SADC :," Working Papers hal-02424909, HAL.
    6. Florent Sari, 2020. "Spatial disparities in accessibility to recreational amenities: the case of Pokémon GO," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 389-419, April.
    7. Rémy Le Boennec & Florent Sari, 2015. "Subcenters, mode choice and transport policies: evidence form Nantes [Nouvelles centralités, choix modal et politiques de déplacements : le cas nantais]," Post-Print hal-01657242, HAL.
    8. Rémy Le Boennec & Florent Sari, 2015. "Nouvelles centralités, choix modal et politiques de déplacements : le cas nantais," Post-Print hal-01657128, HAL.
    9. Dorothée Brécard & Rémy Le Boennec & Frédéric Salladarré, 2018. "Accessibility, local pollution and housing prices. Evidence from Nantes Métropole, France," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 500-501-5, pages 97-115.
    10. Gustavo A. García & Edgar Julián Muñoz González & Stefany Gallego Ortiz, 2018. "Análisis Espacial de la Informalidad Laboral a Nivel Intra-urbano," Documentos de Trabajo de Valor Público 16499, Universidad EAFIT.
    11. Letort, Élodie & Temesgen, Chalachew, 2014. "Influence of environmental policies on farmland prices in the Bretagne region of France," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 95(1).
    12. Mamadou Thiam & Jean-Claude Kouakou Brou & Benur Andrade Varela, 2021. "Export Restrictions and COVID-19," Post-Print hal-03578007, HAL.
    13. Michel Blanc & François Hild, 2008. "Analyse des marchés locaux du travail : du chômage à l'emploi," Économie et Statistique, Programme National Persée, vol. 415(1), pages 45-60.
    14. Olivier JOALLAND & Tina RAMBONILAZA, 2017. "Assessing the impact of renewable energy infrastructure on the “tourist value” in rural landscapes: a spatial hedonic approach," Cahiers du GREThA (2007-2019) 2017-10, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    15. Claude DIEBOLT & Karine PELLIER, 2009. "La convergence des activités innovantes en Europe. Les enseignements de l’économétrie spatiale appliquée à l’histoire du temps présent," Economies et Sociétés (Serie 'Histoire Economique Quantitative'), Association Française de Cliométrie (AFC), issue 40, pages 805-831, May.
    16. Devaux, Nicolas & Dubé, Jean & Apparicio, Philippe, 2017. "Anticipation and post-construction impact of a metro extension on residential values: The case of Laval (Canada), 1995–2013," Journal of Transport Geography, Elsevier, vol. 62(C), pages 8-19.
    17. Laetitia Tuffery, 2016. "The recreational services value of the nearest periurban forest versus the global forest environment," Documents de recherche 16-06, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    18. Olivier JOALLAND & Tina RAMBONILAZA, 2017. "Valeur touristique des aménités environnementales et nuisances associées aux infrastructures d’énergie renouvelable : une approche hédonique spatiale," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 46, pages 93-115.
    19. Claude Napoléone & Ghislain Geniaux, 2005. "Rente foncière et anticipations dans le périurbain," Économie et Prévision, Programme National Persée, vol. 168(2), pages 77-95.
    20. Yannick L'Horty & Florent Sari, 2015. "Why are there so many long-term unemployed in Paris?," TEPP Working Paper 2015-01, TEPP.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. LE GALLO, Julie, 2000. "Econométrie spatiale 1 -Autocorrélation spatiale," LATEC - Document de travail - Economie (1991-2003) 2000-05, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    2. Julie Le Gallo, 2000. "Spatial econometrics (1, Spatial autocorrelation) [Econométrie spatiale (1, Autocorrélation spatiale)]," Working Papers hal-01527290, HAL.
    3. 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.
    4. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    5. Cem Ertur & Thiaw Kalidou, 2005. "Growth and Spatial Dependence - The Mankiw, Romer and Weil model revisited," ERSA conference papers ersa05p660, European Regional Science Association.
    6. Raymond J. G. M. Florax & Arno J. Van der Vlist, 2003. "Spatial Econometric Data Analysis: Moving Beyond Traditional Models," International Regional Science Review, , vol. 26(3), pages 223-243, July.
    7. Zhou, Bin (Brenda) & Kockelman, Kara M., 2009. "Predicting the distribution of households and employment: a seemingly unrelated regression model with two spatial processes," Journal of Transport Geography, Elsevier, vol. 17(5), pages 369-376.
    8. Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
    9. Saavedra, Luz A., 2003. "Tests for spatial lag dependence based on method of moments estimation," Regional Science and Urban Economics, Elsevier, vol. 33(1), pages 27-58, January.
    10. repec:asg:wpaper:1013 is not listed on IDEAS
    11. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    12. Fang, Ying & Park, Sung Y. & Zhang, Jinfeng, 2014. "A simple spatial dependence test robust to local and distributional misspecifications," Economics Letters, Elsevier, vol. 124(2), pages 203-206.
    13. Revelli, Federico, 2006. "Performance rating and yardstick competition in social service provision," Journal of Public Economics, Elsevier, vol. 90(3), pages 459-475, February.
    14. Cem Ertur & Julie Le Gallo & Catherine Baumont, 2006. "The European Regional Convergence Process, 1980-1995: Do Spatial Regimes and Spatial Dependence Matter?," International Regional Science Review, , vol. 29(1), pages 3-34, January.
    15. KOCH, Wilfried, 2004. "Effets de voisinage dans le modèle de Solow avec des externalités spatiales," LEG - Document de travail - Economie 2004-06, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.
    16. Rincke, Johannes, 2010. "A commuting-based refinement of the contiguity matrix for spatial models, and an application to local police expenditures," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 324-330, September.
    17. Juergen Deppner & Marcelo Cajias, 2024. "Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 235-273, February.
    18. Revelli Federico, 2002. "Neighborhood effects in social service provision. Competition or reflection?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200206, University of Turin.
    19. David Maddison, 2009. "A Spatio‐temporal Model of Farmland Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 171-189, February.
    20. Raffaella SANTOLINI, 2007. "An Empitical Analysis of Political and Informative Trends on Municipalities of an Italian Region," Working Papers 294, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    21. Piras, Gianfranco & Prucha, Ingmar R., 2014. "On the finite sample properties of pre-test estimators of spatial models," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 103-115.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cai:ecoldc:ecop_155_0139. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jean-Baptiste de Vathaire (email available below). General contact details of provider: https://www.cairn.info/revue-economie-et-prevision.htm .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.