The accuracy of graphs to describe size distributions
This paper analyses the performance of the graphs traditionally used to study size distributions: histograms, Zipf plots (double logarithmic graphs of rank compared to size) and plotted cumulative density functions. A lognormal distribution is fitted to urban data from three countries (the US, Spain and Italy) over all of the 20th century. We explain the advantages and disadvantages associated with these graphic methods and derive some statistical properties.
|Date of creation:||Jul 2013|
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- González-Val, Rafael & Lanaspa, Luis & Sanz, Fernando, 2008.
"New Evidence on Gibrat’s Law for Cities,"
10411, University Library of Munich, Germany.
- Rafael González-Val & Luis Lanaspa & Fernando Sanz, 2012. "New evidence on Gibrat’s law for cities," Working Papers 2012/18, Institut d'Economia de Barcelona (IEB).
- Rafael González-Val & Arturo Ramos & Fernando Sanz-Gracia & María Vera-Cabello, 2015. "Size distributions for all cities: Which one is best?," Papers in Regional Science, Wiley Blackwell, vol. 94(1), pages 177-196, 03.
- González-Val, Rafael & Ramos, Arturo & Sanz, Fernando & Vera-Cabello, María, 2013. "Size Distributions for All Cities: Which One is Best?," MPRA Paper 44314, University Library of Munich, Germany.
- Jan Eeckhout, 2009. "Gibrat's Law for (All) Cities: Reply," American Economic Review, American Economic Association, vol. 99(4), pages 1676-1683, September. Full references (including those not matched with items on IDEAS)