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Modeling Inequalities in Geographical Space

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  • Clémentine Cottineau

    (CMH - Centre Maurice Halbwachs - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - Département de Sciences sociales ENS-PSL - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres, CNRS - Centre National de la Recherche Scientifique)

Abstract

Modeling inequalities, from the most abstract to the most descriptive, can account for observed trends, illustrate the effect of a particular policy measure or even include interactions between agents or between agents and their geographical environment in the production and reproduction of inequalities. This chapter discusses models for describing inequalities in the distribution of economic resources and details a method for describing inequalities in space, namely through mapping. It evokes the models of spatial inequality and social discontinuity in space. In the field of economic inequality, and typically income inequality, the most widely used mathematical model is the Lorenz curve and its associated index: the Gini coefficient. The chapter discusses two families of statistical models: multilevel models and geographically weighted models. These are the most suitable for taking into account the geographical organization of individuals in the statistical explanation of their inequalities.

Suggested Citation

  • Clémentine Cottineau, 2022. "Modeling Inequalities in Geographical Space," Post-Print halshs-04828670, HAL.
    • Handle: RePEc:hal:journl:halshs-04828670
    DOI: 10.1002/9781394188338.ch6
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-04828670v1
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