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Econometrics for Spatial Models: Recent Advances

In: Advances in Spatial Econometrics

Author

Listed:
  • Luc Anselin

    (University of Illinois)

  • Raymond J. G. M. Florax

    (Free University Amsterdam)

  • Sergio J. Rey

    (San Diego State University)

Abstract

In the introduction to New Directions in Spatial Econometrics (Anselin and Florax, 1995b), the precursor to the current volume, we set out by arguing that “it would be an overstatement to suggest that spatial econometrics has become accepted practice in current empirical research in regional science and regional economics.” However, we also pointed out that “there is evidence of an increased awareness of the importance of space in recent empirical work in ‘mainstream’ economics” (Anselin and Florax, 1995a, p. 3). In the few years since New Directions appeared, the latter observation has been confirmed by a tremendous growth in the number of publications in which spatial econometric techniques are applied, not only within regional science and economic geography, but also increasingly in the leading journals of economics, sociology and political science. This has not gone unnoticed, and the wealth of new publications has resulted in a separate classification in the Journal of Economic Literature devoted solely to cross-sectional and spatial models.1 Parallelling the growth in applications, several new methods have been introduced as well, yielding a spatial econometric toolbox that is becoming ever more sophisticated.

Suggested Citation

  • Luc Anselin & Raymond J. G. M. Florax & Sergio J. Rey, 2004. "Econometrics for Spatial Models: Recent Advances," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax & Sergio J. Rey (ed.), Advances in Spatial Econometrics, chapter 1, pages 1-25, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-05617-2_1
    DOI: 10.1007/978-3-662-05617-2_1
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    Citations

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    Cited by:

    1. Tartaruga, Iván G. Peyré, 2009. "Análise espacial da centralidade e da dispersão da riqueza gaúcha de 1970 a 2000: notas preliminares [Spatial analysis of central tendency and dispersion of wealth in the state of Rio Grande do Sul," MPRA Paper 76522, University Library of Munich, Germany.
    2. Getis, Arthur, 2007. "Reflections on spatial autocorrelation," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 491-496, July.
    3. Rodrigo García Arancibia & Pamela Llop & Mariel Lovatto, 2023. "Nonparametric prediction for univariate spatial data: Methods and applications," Papers in Regional Science, Wiley Blackwell, vol. 102(3), pages 635-672, June.
    4. Daniel A. Tirado Fabregat & Alfonso Díez-Minguela & Julio Martínez-Galarraga, 2015. "A closer look at the long-term patterns of regional income inequality in Spain: The poor stay poor (and stay together)," Working Papers. Serie EC 2015-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    5. Anping Chen & Marlon Boarnet & Mark Partridge & Raffaella Calabrese & Johan A. Elkink, 2014. "Estimators Of Binary Spatial Autoregressive Models: A Monte Carlo Study," Journal of Regional Science, Wiley Blackwell, vol. 54(4), pages 664-687, September.
    6. Haijiang Wu & Qichao Wu, 2021. "The geography of migrant workers' income in China: Evidence from a migrants dynamic survey in 2017," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1826-1851, September.
    7. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    8. Jae-Jong Kim & Mi-Jeong Cho & Myeong-Hun Lee, 2022. "An Analysis of the Price Determinants of Multiplex Houses through Spatial Regression Analysis," Sustainability, MDPI, vol. 14(12), pages 1-14, June.
    9. Rezzy Eko Caraka & Robert Kurniawan & Bahrul Ilmi Nasution & Jamilatuzzahro Jamilatuzzahro & Prana Ugiana Gio & Mohammad Basyuni & Bens Pardamean, 2021. "Micro, Small, and Medium Enterprises’ Business Vulnerability Cluster in Indonesia: An Analysis Using Optimized Fuzzy Geodemographic Clustering," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
    10. Chunying Cui & Ziwei Yan, 2023. "Does the Digital Economy Promote Domestic Non-Tradable Sectors?: Evidence from China," Sustainability, MDPI, vol. 15(3), pages 1-23, February.
    11. Tartaruga, Iván G. Peyré, 2008. "Análise Espacial da Estrutura Social da Região Metropolitana de Porto Alegre (RMPA) em 1991 e 2000 [Spatial analysis of social structure from Porto Alegre Metropolitan Area in 1991 and 2000]," MPRA Paper 76723, University Library of Munich, Germany.
    12. Sanglim Yoo & John E. Wagner, 2016. "A review of the hedonic literatures in environmental amenities from open space: a traditional econometric vs. spatial econometric model," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 20(1), pages 141-166, March.
    13. Yuxin Meng & Lu Liu & Qiying Ran, 2022. "Can Urban Green Transformation Reduce the Urban–Rural Income Gap? Empirical Evidence Based on Spatial Durbin Model and Mediation Effect Model," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
    14. Esteban Fernández-Vázquez & Matías Mayor-Fernández & Jorge Rodríguez-Vález, 2009. "Estimating Spatial Autoregressive Models by GME-GCE Techniques," International Regional Science Review, , vol. 32(2), pages 148-172, April.
    15. Peng, Dan & Li, Rongrong & Shen, Chenrong & Wong, Zoey, 2022. "Industrial agglomeration, urban characteristics, and economic growth quality: The case of knowledge-intensive business services," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 18-28.
    16. Anselin, Luc, 2007. "Spatial econometrics in RSUE: Retrospect and prospect," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 450-456, July.
    17. Matias Mayor Fernandez & Esteban Fernandez Vazquez & Jorge Rodriguez Valez, 2006. "Spatial Structures and Spatial Spillovers: A GME Approach," ERSA conference papers ersa06p777, European Regional Science Association.
    18. Kathleen P. Bell & Timothy J. Dalton, 2007. "Spatial Economic Analysis in Data‐Rich Environments," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 487-501, September.
    19. Joachim Möller & Rüdiger Soltwedel, 2007. "Recent Developments of Regional Labor Market Analysis Using Spatial Econometrics: Introduction," International Regional Science Review, , vol. 30(2), pages 95-99, April.
    20. Bottasso, Anna & Conti, Maurizio, 2009. "Scale economies, technology and technical change in the water industry: Evidence from the English water only sector," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 138-147, March.
    21. Wang, Honglin & Iglesias, Emma M. & Wooldridge, Jeffrey M., 2013. "Partial maximum likelihood estimation of spatial probit models," Journal of Econometrics, Elsevier, vol. 172(1), pages 77-89.

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