IDEAS home Printed from https://ideas.repec.org/a/ags/inrace/206140.html

Econométrie et données spatiales - Une introduction à la pratique

Author

Listed:
  • Jayet, Hubert

Abstract

This contribution is an introduction to the main topics of spatial econometrics. We start analyzing the main problems raised by spatial data. The first one is heterogeneity : statisticians must take account of the fact that spatial units may not be directly comparable. They must correct for differences in size, form, structure and so on. The second one is interaction among units located in space, the intensity of which decreases with distance. These interactions lead to spatial autoregression and spatial autocorrelation. Then, the paper introduces to the main instruments used to represent and analyze spatial autocorrelation and autoregression : spatial graphs, weight matrices, contiguity matrices. It presents the main tests used to detect spatial autocorrelation, color tests on qualitative data, Moran and Geary tests for quantitative data. It shows how these tests can be interpreted. An illustrative example is also provided. Last, the paper shows how to deal with spatial autocorrelation and autoregression on the example of linear models. The main types of spatial linear models are presented : spatially autoregressive, spatially autocorrelated and their combination. Then, we explain why least squares methods are not well suited to estimate this type of models. Most often, econometric analysis will rest upon maximum likelihood methods. The paper shows how to use these methods in the specific context of spatial models, in order to find parameters estimates and to make tests on them.

Suggested Citation

  • Jayet, Hubert, 2001. "Econométrie et données spatiales - Une introduction à la pratique," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 58.
    • Handle: RePEc:ags:inrace:206140
    DOI: 10.22004/ag.econ.206140
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/206140/files/CESR-58-59-105-129.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.206140?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    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. 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.
    2. Julie Bulteau & Thierry Feuillet & Rémy Le Boennec, 2018. "Spatial Heterogeneity of Sustainable Transportation Offer Values: A Comparative Analysis of Nantes Urban and Periurban/Rural Areas (France)," Post-Print halshs-01706911, HAL.
    3. 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.
    4. Rémy Le Boennec & Florent Sari, 2015. "Nouvelles centralités, choix modal et politiques de déplacements : le cas nantais," Post-Print hal-01657128, HAL.
    5. Ghislaine Deymier, 2002. "Le nouveau périphérique Nord de Lyon : comment analyser les effets anticipés sur l'évolution du marché foncier et immobilier de l'agglomération lyonnaise ?," Post-Print halshs-00106258, HAL.
    6. Thierry Madiès & Sonia Paty & Yvon Rocaboy, 2005. "Externalités fiscales horizontales et verticales. Où en est la théorie du fédéralisme financier ?," Revue d'économie politique, Dalloz, vol. 115(1), pages 17-63.
    7. Ghislaine Deymier, 2003. "Capitalisation immobilière des gains d'accessibilité : état de l'art et étude de cas sur l'agglomération lyonnaise," Post-Print halshs-00100326, HAL.
    8. Rémy Le Boennec, 2014. "Nouvelles centralités, choix modal et politiques de déplacements " 2.0 " : Le cas Nantais," Working Papers hal-00958700, HAL.
    9. Christophe Providence, 2018. "Disparités spatiales et financement des biens et services publics de proximité en Haïti. Le cas des budgets communaux de 2017-2018," Post-Print hal-02124721, HAL.

    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. Flavia Ioana Patrascu & Ali Mostafavi, 2024. "Spatial model for predictive recovery monitoring based on hazard, built environment, and population features and their spillover effects," Environment and Planning B, , vol. 51(1), pages 39-56, January.
    2. María Ayuda & Fernando Collantes & Vicente Pinilla, 2010. "From locational fundamentals to increasing returns: the spatial concentration of population in Spain, 1787–2000," Journal of Geographical Systems, Springer, vol. 12(1), pages 25-50, March.
    3. Andrés Rodríguez-Pose & Vassilis Tselios, 2015. "Toward Inclusive Growth," International Regional Science Review, , vol. 38(1), pages 30-60, January.
    4. Ruaa Al Juboori & Divya S. Subramaniam & Leslie Hinyard & J. S. Onésimo Sandoval, 2023. "Unveiling Spatial Associations between COVID-19 Severe Health Index, Racial/Ethnic Composition, and Community Factors in the United States," IJERPH, MDPI, vol. 20(17), pages 1-17, August.
    5. Junming Li & Meijun Jin & Honglin Li, 2019. "Exploring Spatial Influence of Remotely Sensed PM 2.5 Concentration Using a Developed Deep Convolutional Neural Network Model," IJERPH, MDPI, vol. 16(3), pages 1-11, February.
    6. Kristien Werck & Bruno Heyndels & Benny Geys, 2008. "The impact of ‘central places’ on spatial spending patterns: evidence from Flemish local government cultural expenditures," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(1), pages 35-58, March.
    7. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    8. Pede, Valerien O. & Florax, Raymond J.G.M. & Holt, Matthew T., 2009. "A Spatial Econometric Star Model With An Application To U.S. County Economic Growth, 1969–2003," Working papers 48117, Purdue University, Department of Agricultural Economics.
    9. Qiming Yang & Jun He & Ting Liu & Zhitao Zhu, 2021. "Environmental Effects of Credit Allocation Structure and Environmental Expenditures: Evidence from China," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    10. 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.
    11. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    12. Yihua Yu & Jing Wang & Xi Tian, 2016. "Identifying the Flypaper Effect in the Presence of Spatial Dependence: Evidence from Education in China's Counties," Growth and Change, Wiley Blackwell, vol. 47(1), pages 93-110, March.
    13. Yuping Deng & Helian Xu, 2015. "International Direct Investment and Transboundary Pollution: An Empirical Analysis of Complex Networks," Sustainability, MDPI, vol. 7(4), pages 1-25, April.
    14. Julie Le Gallo, 2004. "Hétérogénéité spatiale. Principes et méthodes," Economie & Prévision, La Documentation Française, vol. 162(1), pages 151-172.
    15. Jacques Mairesse & Benoît Mulkay, 2007. "An Exploration of Local R&D Spillovers in France," Annals of Economics and Statistics, GENES, issue 87-88, pages 145-166.
    16. Badi H. Baltagi & Dong Li, 2001. "LM Tests for Functional Form and Spatial Error Correlation," International Regional Science Review, , vol. 24(2), pages 194-225, April.
    17. Morton, Craig & Ali, Yasir, 2025. "The impact of congestion charging on car ownership: Evidence from a quasi-natural experiment," Transport Policy, Elsevier, vol. 160(C), pages 181-191.
    18. Tapsuwan, Sorada & Polyakov, Maksym & Bark, Rosalind & Nolan, Martin, 2015. "Valuing the Barmah–Millewa Forest and in stream river flows: A spatial heteroskedasticity and autocorrelation consistent (SHAC) approach," Ecological Economics, Elsevier, vol. 110(C), pages 98-105.
    19. Schumann, Hans-Heinrich & Haitao, He & Natapov, Asya & Quddus, Mohammed, 2025. "The influence of spatial configuration on e-scooter traffic flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 198(C).
    20. 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.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    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:ags:inrace:206140. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/inratfr.html .

    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.