2020
DOI: 10.1007/s00168-020-01001-6
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Is there a universal parametric city size distribution? Empirical evidence for 70 countries

Abstract: We study the parametric description of the city size distribution (CSD) of 70 different countries (developed and developing) using seven models, as follows: the lognormal (LN), the loglogistic (LL), the double Pareto lognormal (dPLN), the two-lognormal (2LN), the two-loglogistic (2LL), the three-lognormal (3LN) and the three-loglogistic (3LL). Our results show that 3LN and 3LL are the best densities in terms of non-rejections out of stan-Financial support from Ministerio de Economía y Competitividad (ECO2017-8… Show more

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Cited by 12 publications
(11 citation statements)
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References 31 publications
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“…On the contrary, we find a great variability, depending on the years considered, regarding the best density. This outcome is in line with the key message derived from [38,39]. This reflects the effort made by most countries in the reduction of CO 2 emissions, with some countries with a higher effort than others, leading to year-to-year shifts in the statistical distribution of CO 2 emissions among nations.…”
Section: Introductionsupporting
confidence: 82%
See 2 more Smart Citations
“…On the contrary, we find a great variability, depending on the years considered, regarding the best density. This outcome is in line with the key message derived from [38,39]. This reflects the effort made by most countries in the reduction of CO 2 emissions, with some countries with a higher effort than others, leading to year-to-year shifts in the statistical distribution of CO 2 emissions among nations.…”
Section: Introductionsupporting
confidence: 82%
“…where erf denotes the error function associated to the standard normal distribution. The 2-mixture of normal distributions (2N), is [20,21,22,28,38,39,7]…”
Section: The Distributionsmentioning
confidence: 99%
See 1 more Smart Citation
“…For municipalities the chosen function is the three-lognormal (3LN), for the cities defined in Arribas-Bel et al (2019) the chosen function is the double Pareto-lognormal (dPLN), for AUDES ( Áreas Urbanas de España) data the best density is the Pareto one and for FUA OECD (Functional Urban Areas) data the outperforming function is the truncated lognormal; in each case, the selected distributions are never rejected according to the information in Table 1. This result is related to the main conclusion derived from Puente-Ajovín et al (2020), that is to say, different countries are best described (in terms of information criteria) by different densities and not by a single dominating one, although there maybe densities that are not rejected (almost) always by standard statistical tests.…”
Section: Discussionmentioning
confidence: 53%
“…This kind of convoluted distributions could provide a more accurate fit to the probability distribution of forest areas. To date, they have only been applied to study city size distributions [65][66][67][68] and the size distribution of national CO 2 emissions [16].…”
mentioning
confidence: 99%