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A Spatial Modelling Framework for Income Estimation


  • Stamatis Kalogirou
  • Thomas Hatzichristos


Abstract The main aim of this paper is to provide a spatial modelling framework for income estimation through the application of a contemporary spatial analysis technique. The application refers to the modelling of mean recorded household income in the area covered by the postcodes of the municipality of Athens in 2001. The main findings suggest that there is a very strong relationship between the proportion of people with a postgraduate qualification (namely, a Master's degree or PhD) and mean household income. Furthermore, there is evidence that this relationship is not stationary across space. This finding allows a better understanding as well as modelling of the main determinants of income in Athens.

Suggested Citation

  • Stamatis Kalogirou & Thomas Hatzichristos, 2007. "A Spatial Modelling Framework for Income Estimation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 2(3), pages 297-316.
  • Handle: RePEc:taf:specan:v:2:y:2007:i:3:p:297-316
    DOI: 10.1080/17421770701576921

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    References listed on IDEAS

    1. José De Gregorio & Jong-Wha Lee, 1999. "Education and Income Distribution: New Evidence from Cross-country Data," Documentos de Trabajo 55, Centro de Economía Aplicada, Universidad de Chile.
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    1. repec:eee:joecas:v:15:y:2017:i:c:p:1-16 is not listed on IDEAS

    More about this item


    Income modelling; spatial statistics; geographically weighted regression; C31; R2;

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis


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