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Spatial Econometric Models

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Handbook of Applied Spatial Analysis

Abstract

Spatial regression models allow us to account for dependence among observations, which often arises when observations are collected from points or regions located in space. The spatial sample of observations being analyzed could come from a number of sources. Examples of point-level observations would be individual homes, firms, or schools. Regional observations could reflect average regional household income, total employment or population levels, tax rates, and soon. Regions often have widely varying spatial scales (for example, European Unionregions, countries, or administrative regions such as postal zones or census tracts).

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Author information

Authors and Affiliations

  1. Finance and Economics Department, McCoy College of Business Administration, Texas State University, San Marcos, TX, USA

    James P. LeSage

  2. Department of Computer Science, Louisiana State University, Baton Rouge, LA, USA

    R. Kelley Pace

Authors
  1. James P. LeSage
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  2. R. Kelley Pace
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Corresponding author

Correspondence to James P. LeSage .

Editor information

Editors and Affiliations

  1. Inst. Wirtschaftsgeographie und, Wirtschaftsuniversität Wien, Nordbergstraße 15/4, Vienna, 1090, Austria

    Manfred M. Fischer

  2. Dept. Geography, San Diego State University, San Diego, 92182-4493, U.S.A.

    Arthur Getis

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LeSage, J.P., Pace, R.K. (2010). Spatial Econometric Models. In: Fischer, M., Getis, A. (eds) Handbook of Applied Spatial Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03647-7_18

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  • DOI: https://doi.org/10.1007/978-3-642-03647-7_18

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03646-0

  • Online ISBN: 978-3-642-03647-7

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