On the density distribution across space: a probabilistic approach
AbstractThis 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.
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Bibliographic InfoPaper provided by Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC) in its series UFAE and IAE Working Papers with number 776.09.
Date of creation: 22 Jul 2009
Date of revision:
Agglomerations; Bayesian inference; Distance; Gibbs sampling; Kendall's tau index; Population density.;
Find related papers by 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-08-08 (All new papers)
- NEP-ECM-2009-08-08 (Econometrics)
- NEP-GEO-2009-08-08 (Economic Geography)
- NEP-MIC-2009-08-08 (Microeconomics)
- NEP-URE-2009-08-08 (Urban & Real Estate Economics)
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