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Spatial Modeling

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Handbook of Cliometrics

Abstract

Spatial modeling is a systematic approach to understand the spatial configuration of economic activity from a local to a global scale. This chapter begins with an overview of empirical tests of spatial correlation, including testing of spatial randomness, join-count statistics, and Moran’s I. This leads to a discussion of spatial concentration measures and the usage of such tests and measures in the context of economic history. An overview of the development of spatial modeling, from von Thünen to Hotelling to the new economic geography demonstrates the abstract nature of modeling, its application in a wide range of settings, and the usefulness of economic history to validate theoretical approaches. The final section goes over a range of modeling components used in quantitative spatial economics and their relevance in economic history. The chapter concludes with an outlook to alternative modeling approaches, including spatial point processes and networks.

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Authors and Affiliations

  1. School of Economics, The University of Adelaide, Adelaide, SA, Australia

    Florian Ploeckl

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  1. Florian Ploeckl
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Correspondence to Florian Ploeckl .

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Editors and Affiliations

  1. BETA/CNRS (UMR 7522), University of Strasbourg Institute for Advanced Study, Strasbourg Cedex, France

    Claude Diebolt

  2. University of Wisconsin Department of Economics, La Crosse, WI, USA

    Michael Haupert

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Ploeckl, F. (2019). Spatial Modeling. In: Diebolt, C., Haupert, M. (eds) Handbook of Cliometrics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40458-0_56-1

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  • DOI: https://doi.org/10.1007/978-3-642-40458-0_56-1

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  • Print ISBN: 978-3-642-40458-0

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