2019
DOI: 10.1016/j.physa.2019.02.054
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A tale of two tails: Do Power Law and Lognormal models fit firm-size distributions in the mid-Victorian era?

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Cited by 23 publications
(13 citation statements)
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“…Similarly, the averages of the laborers/men employed on a farm match well between the published records and the BBCE extractions. A detailed comparison of the frequency distribution by firm size also shows that the same mathematical curves fit closely to all the years-although 1871 is far weaker as expected from the remaining truncation deficiencies in S&N that cannot be overcome (Montebruno et al 2019b). Their characteristic is a "heavy tail" for the larger firm sizes, and this specific feature is reproduced by the same mathematical functions for each year.…”
Section: Discussionmentioning
confidence: 59%
“…Similarly, the averages of the laborers/men employed on a farm match well between the published records and the BBCE extractions. A detailed comparison of the frequency distribution by firm size also shows that the same mathematical curves fit closely to all the years-although 1871 is far weaker as expected from the remaining truncation deficiencies in S&N that cannot be overcome (Montebruno et al 2019b). Their characteristic is a "heavy tail" for the larger firm sizes, and this specific feature is reproduced by the same mathematical functions for each year.…”
Section: Discussionmentioning
confidence: 59%
“…Eles provêm interessantes insights que conectam os mecanismos sociotécnicos que, em tese, lhes dão origem aos processos matemáticos por trás de cada distribuição. Enquanto uma lognormal pode ser gerada por simples multiplicações em sequência do tipo C*X ou C/X, onde C é um fator de crescimento aleatório interno independente e igualmente distribuído para cada cidade (MONTEBRUNO et al, 2019), a distribuição potência não. Porém, se considerada a restrição do X mínimo, a iteração das multiplicações eventualmente leva a distribuição a uma powerlaw (MITZENMACHER, 2004).…”
Section: Discussionunclassified
“…Elas são bastante diferentes da distribuição normal cujos valores médios representam fielmente o conjunto e sugerem relações lineares entre os elementos. Ao contrário, essas distribuições são altamente assimétricas, sendo genericamente chamadas de powerlaws -"lei de potência" -que incluem as conhecidas "Distribuição de Pareto" e a "Lei de Zipf" (MONTEBRUNO et al, 2019).…”
Section: Cidades Hierarquia Urbana E Distribuições Assimétricasunclassified
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“…Lognormal distribution This type of distribution is intuitively applicable and is endorsed by Gibrat's research, because the distribution of any manifestation of wealth is universally asymmetrical [42]. From another point of view, note that Koch [17,25,[43][44][45][46][47][48] observed that asymmetry is a possible exponential trace. The exponential increase in the wealth of the richest could be studied by analogy with biological phenomena [42].…”
mentioning
confidence: 94%