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A Spatial Modelling Framework for Income Estimation

Author

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  • Stamatis Kalogirou
  • Thomas Hatzichristos

Abstract

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

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    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.
    2. Orley Ashenfelter & Cecilia E. Rouse, 1998. "Schooling, Intelligence, and Income in America: Cracks in the Bell Curve," Working Papers 786, Princeton University, Department of Economics, Industrial Relations Section..
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    Cited by:

    1. Alasdair Rae, 2009. "Isolated Entities or Integrated Neighbourhoods? An Alternative View of the Measurement of Deprivation," Urban Studies, Urban Studies Journal Limited, vol. 46(9), pages 1859-1878, August.
    2. Prodromídis, Pródromos-Ioánnis K., 2017. "Analyzing local incomes in Greece by fitting space with an econometrics driven method," The Journal of Economic Asymmetries, Elsevier, vol. 15(C), pages 1-16.
    3. Tsimpanos, Apostolos & Tsimbos, Cleon & Kalogirou, Stamatis, 2018. "Assessing spatial variation and heterogeneity of fertility in Greece at local authority level," MPRA Paper 100406, University Library of Munich, Germany.
    4. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.

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    More about this item

    Keywords

    Income modelling; spatial statistics; geographically weighted regression; C31; R2;
    All these keywords.

    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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