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Semiparametric Spatial Autoregressive Geoadditive Models

In: Complexity and Geographical Economics

Author

Listed:
  • Roberto Basile

    (Second University of Naples)

  • Saime Kayam

    (Istanbul Technical University)

  • Román Mínguez

    (University of Castilla-La Mancha)

  • Jose María Montero

    (University of Castilla-La Mancha)

  • Jesús Mur

    (University of Zaragoza)

Abstract

Modeling regional economic dynamics requires the adoption of complex econometric tools, which allow us to deal with some important methodological issues, such as spatial dependence, spatial heterogeneity and nonlinearities. Recent developments in the spatial econometrics literature have provided some instruments (such as Spatial Autoregressive Semiparametric Geoadditive Models), which address these issues simultaneously and, therefore, are of great use for practitioners. In this paper we describe these methodological contributions and present some applications of these methodologies in the fields of regional science and economic geography.

Suggested Citation

  • Roberto Basile & Saime Kayam & Román Mínguez & Jose María Montero & Jesús Mur, 2015. "Semiparametric Spatial Autoregressive Geoadditive Models," Dynamic Modeling and Econometrics in Economics and Finance, in: Pasquale Commendatore & Saime Kayam & Ingrid Kubin (ed.), Complexity and Geographical Economics, edition 127, pages 73-98, Springer.
    • Handle: RePEc:spr:dymchp:978-3-319-12805-4_4
    DOI: 10.1007/978-3-319-12805-4_4
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