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

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  • Okorie, Idika E.
  • Nadarajah, Saralees

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.

Suggested Citation

  • Okorie, Idika E. & Nadarajah, Saralees, 2021. "A note on “The distribution of union size: Canada, 1913–2014”," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    • Handle: RePEc:eee:phsmap:v:570:y:2021:i:c:s0378437121000583
    DOI: 10.1016/j.physa.2021.125786
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    References listed on IDEAS

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    1. Campolieti, Michele, 2020. "The distribution of union size: Canada, 1913–2014," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).
    2. Caroline Minter Hoxby, 1996. "How Teachers' Unions Affect Education Production," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(3), pages 671-718.
    3. David Card & Thomas Lemieux & W. Craig Riddell, 2004. "Unions and Wage Inequality," Journal of Labor Research, Transaction Publishers, vol. 25(4), pages 519-562, October.
    4. Andreas Klaus & Shan Yu & Dietmar Plenz, 2011. "Statistical Analyses Support Power Law Distributions Found in Neuronal Avalanches," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-12, May.
    5. George J. Borjas, 1979. "Job Satisfaction, Wages, and Unions," Journal of Human Resources, University of Wisconsin Press, vol. 14(1), pages 21-40.
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