IDEAS home Printed from https://ideas.repec.org/a/gam/jecnmx/v4y2016i1p18-d65205.html
   My bibliography  Save this article

Spatial Econometrics: A Rapidly Evolving Discipline

Author

Listed:
  • Giuseppe Arbia

    (Faculty of Economics, Department of Statistics and Institute of Hygiene, Catholic University of Sacro Cuore, Rome, 00168, Italy)

Abstract

Spatial econometrics has a relatively short history in the scenario of the scientific thought. Indeed, the term “spatial econometrics” was introduced only forty years ago during the general address delivered by Jean Paelinck to the annual meeting of the Dutch Statistical Association in May 1974 (see [1]). [...]

Suggested Citation

  • Giuseppe Arbia, 2016. "Spatial Econometrics: A Rapidly Evolving Discipline," Econometrics, MDPI, vol. 4(1), pages 1-4, March.
    • Handle: RePEc:gam:jecnmx:v:4:y:2016:i:1:p:18-:d:65205
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2225-1146/4/1/18/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2225-1146/4/1/18/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    2. 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.
    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. Jasper Grashuis, 2019. "Spatial Competition in the Iowa Corn Market: Informing the Pricing Behavior of Corporate and Cooperative Grain Merchants," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    2. Lucas, Edimilson Costa & Mendes-Da-Silva, Wesley, 2018. "Impact of climate on firm value: Evidence from the electric power industry in Brazil," Energy, Elsevier, vol. 153(C), pages 359-368.
    3. Eduardo A. Souza-Rodrigues, 2016. "Nonparametric Regression with Common Shocks," Econometrics, MDPI, vol. 4(3), pages 1-17, September.

    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. Giuseppe Arbia & Patrizia Cella & Giuseppe Espa & Diego Giuliani, 2015. "A micro spatial analysis of firm demography: the case of food stores in the area of Trento (Italy)," Empirical Economics, Springer, vol. 48(3), pages 923-937, May.
    2. Dayton M. Lambert, 2020. "Dynamic panel estimation of a regional adjustment model with spatial-temporal robust covariance," Letters in Spatial and Resource Sciences, Springer, vol. 13(3), pages 245-265, December.
    3. Takahiro Yoshida & Morito Tsutsumi, 2018. "On the effects of spatial relationships in spatial compositional multivariate models," Letters in Spatial and Resource Sciences, Springer, vol. 11(1), pages 57-70, March.
    4. William Cochrane & Jacques Poot, 2020. "Did the post-1986 decline in the homeownership rate benefit the New Zealand labour market? A spatial-econometric exploration," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 261-284, February.
    5. Jouke Van Dijk, 2009. "Progress in Regional Science," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 1-2, March.
    6. Simon Naitram, 2022. "How big are strategic spillovers from corporate tax competition?," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 847-869, April.
    7. Clifford Lam & Pedro C. L. Souza, 2016. "Detection and Estimation of Block Structure in Spatial Weight Matrix," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1347-1376, December.
    8. Kristian Behrens & Frédéric Robert‐Nicoud, 2009. "Krugman's Papers in Regional Science: The 100 dollar bill on the sidewalk is gone and the 2008 Nobel Prize well‐deserved," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 467-489, June.
    9. Paul Elhorst & Solmaria Halleck Vega, 2013. "On spatial econometric models, spillover effects, and W," ERSA conference papers ersa13p222, European Regional Science Association.
    10. Laura López Torres & Diego Prior, 2014. "Measuring school demand in the presence of spatial dependence. A conditional approach," Investigaciones de Economía de la Educación volume 9, in: Adela García Aracil & Isabel Neira Gómez (ed.), Investigaciones de Economía de la Educación 9, edition 1, volume 9, chapter 4, pages 117-141, Asociación de Economía de la Educación.
    11. López-Hernández, Fernando A., 2013. "Second-order polynomial spatial error model. Global and local spatial dependence in unemployment in Andalusia," Economic Modelling, Elsevier, vol. 33(C), pages 270-279.
    12. Rahal, Charles, 2019. "A Grid Based Approach to Analysing Spatial Weighting Matrix Specification," SocArXiv nt2yq, Center for Open Science.
    13. Antonio Páez, 2009. "Spatial analysis of economic systems and land use change," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 251-258, June.
    14. B. Fingleton & P. Cheshire & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & J. McCombie & V. Monastiriotis & B. Moore & M. Roberts, 2011. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 351-357, December.
    15. Leopoldo Catania & Anna Gloria Billé, 2017. "Dynamic spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1178-1196, September.
    16. Marcin Wozniak, 2021. "Spatial matching on the urban labor market: estimates with unique micro data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-17, December.
    17. Clifford Lam & Pedro Souza, 2014. "Regularization for Spatial Panel Time Series Using the Adaptive LASSO," STICERD - Econometrics Paper Series 578, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    18. Jes?s Mur, 2013. "Causality, Uncertainty and Identification: Three Issues on the Spatial Econometrics Agenda," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2013(1), pages 5-27.
    19. Solmaria Halleck Vega & J. Paul Elhorst, 2017. "Regional labour force participation across the European Union: a time–space recursive modelling approach with endogenous regressors," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 138-160, July.
    20. Sascha Sardadvar & Silvia Rocha-Akis, 2016. "Interregional migration within the European Union in the aftermath of the Eastern enlargements: a spatial approach," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 36(1), pages 51-79, February.

    More about this item

    Keywords

    n/a;

    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:gam:jecnmx:v:4:y:2016:i:1:p:18-:d:65205. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.