On the best functions to describe city size distributions
AbstractThis paper analyses in detail the features offered by a function which is practically new to Urban Economics, the q-exponential, in describing city size distributions. We highlight two contributions. First, we propose a new and simple procedure for estimating their parameters. Second, and more importantly, we explain the characteristics associated with two traditional graphic methods (Zipf plots and cumulative density functions) for discriminating between functions. We apply them to the lognormal and q-exponential, justifying them as the best functions for explaining the entire distribution, and that the relationship between them is of complementarity.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 21921.
Date of creation: 07 Apr 2010
Date of revision:
city size distribution; q-exponential; lognormal;
Find related papers by JEL classification:
- C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-04-17 (All new papers)
- NEP-GEO-2010-04-17 (Economic Geography)
- NEP-URE-2010-04-17 (Urban & Real Estate Economics)
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