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On the density distribution across space: a probabilistic approach

Author

Listed:
  • Ilenia Epifani
  • Rosella Nicolini

Abstract

This paper aims at providing a Bayesian parametric framework to tackle the accessibility problem across space in urban theory. Adopting continuous variables in a probabilistic setting we are able to associate with the distribution density to the Kendall's tau index and replicate the general issues related to the role of proximity in a more general context. In addition, by referring to the Beta and Gamma distribution, we are able to introduce a differentiation feature in each spatial unit without incurring in any a-priori definition of territorial units.We are also providing an empirical application of our theoretical setting to study the density distribution of the population across Massachusetts.

Suggested Citation

  • Ilenia Epifani & Rosella Nicolini, 2009. "On the density distribution across space: a probabilistic approach," Working Papers 388, Barcelona Graduate School of Economics.
  • Handle: RePEc:bge:wpaper:388
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    File URL: http://www.barcelonagse.eu/sites/default/files/working_paper_pdfs/388.pdf
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    More about this item

    Keywords

    agglomerations; Bayesian inference; Distance; Gibbs sampling; Kendall's tau index; Population density;

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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