A note on “The distribution of union size: Canada, 1913–2014”

Idika E. Okorie; Saralees Nadarajah

doi:10.1016/j.physa.2021.125786

A note on “The distribution of union size: Canada, 1913–2014”

Idika E. Okorie, Saralees Nadarajah

Mathematics

University of Manchester

Research output: Contribution to journal › Article › peer-review

Abstract

Campolieti (2020) modelled the number of members in different unions (union size) in different decades in Canada using the power-law, lognormal and stretched exponential distributions. Here, we show that the generalized Pareto distribution (which has the same number of parameters as the power-law, lognormal and stretched exponential distributions) can provide better fits for the data.

Original language	British English
Article number	125786
Journal	Physica A: Statistical Mechanics and its Applications
Volume	570
DOIs	https://doi.org/10.1016/j.physa.2021.125786
State	Published - 15 May 2021

Keywords

Generalized Pareto distribution
Lognormal distribution
Power-law distribution
Stretched exponential distribution

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10.1016/j.physa.2021.125786

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title = "A note on “The distribution of union size: Canada, 1913–2014”",

abstract = "Campolieti (2020) modelled the number of members in different unions (union size) in different decades in Canada using the power-law, lognormal and stretched exponential distributions. Here, we show that the generalized Pareto distribution (which has the same number of parameters as the power-law, lognormal and stretched exponential distributions) can provide better fits for the data.",

keywords = "Generalized Pareto distribution, Lognormal distribution, Power-law distribution, Stretched exponential distribution",

author = "Okorie, {Idika E.} and Saralees Nadarajah",

note = "Funding Information: The authors would like to thank Michele Campolieti of the Centre for Industrial Relations and Human Resources, University of Toronto, Canada for providing us with all the data used in this paper. The authors would also like to thank the Editor and the two referees for careful reading and comments which greatly improved the paper. Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",

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AU - Nadarajah, Saralees

N1 - Funding Information: The authors would like to thank Michele Campolieti of the Centre for Industrial Relations and Human Resources, University of Toronto, Canada for providing us with all the data used in this paper. The authors would also like to thank the Editor and the two referees for careful reading and comments which greatly improved the paper. Publisher Copyright: © 2021 Elsevier B.V.

PY - 2021/5/15

Y1 - 2021/5/15

N2 - Campolieti (2020) modelled the number of members in different unions (union size) in different decades in Canada using the power-law, lognormal and stretched exponential distributions. Here, we show that the generalized Pareto distribution (which has the same number of parameters as the power-law, lognormal and stretched exponential distributions) can provide better fits for the data.

AB - Campolieti (2020) modelled the number of members in different unions (union size) in different decades in Canada using the power-law, lognormal and stretched exponential distributions. Here, we show that the generalized Pareto distribution (which has the same number of parameters as the power-law, lognormal and stretched exponential distributions) can provide better fits for the data.

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KW - Lognormal distribution

KW - Power-law distribution

KW - Stretched exponential distribution

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ER -

A note on “The distribution of union size: Canada, 1913–2014”

Abstract

Keywords

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