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Power Law Distributions and the Size Distribution of Strikes

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  • Michele Campolieti

Abstract

Using Canadian data from 1976 to 2014, I study the size distribution of strikes with three alternative measures of strike size: the number of workers on strike, strike duration in calendar days, and the number of person calendar days lost to a strike. I use a maximum likelihood framework that provides a way to estimate distributions, evaluate model fit, and also test against alternative distributions. I consider a few theories that can create power law distributions in strike size, such as the joint costs model that posits strike size is inversely proportional to dispute costs. I find that the power law distribution fits the data for the number of lost person calendar days relatively well and is also more appropriate than the lognormal distribution. I also discuss the implications of my findings from a methodological, research, and policy perspective.

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  • Michele Campolieti, 2019. "Power Law Distributions and the Size Distribution of Strikes," Sociological Methods & Research, , vol. 48(3), pages 561-587, August.
    • Handle: RePEc:sae:somere:v:48:y:2019:i:3:p:561-587
    DOI: 10.1177/0049124117729709
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    1. repec:cup:cbooks:9780511771576 is not listed on IDEAS
    2. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    3. Robert P. Freckleton & William J. Sutherland, 2001. "Do power laws imply self-regulation?," Nature, Nature, vol. 413(6854), pages 382-382, September.
    4. Easley,David & Kleinberg,Jon, 2010. "Networks, Crowds, and Markets," Cambridge Books, Cambridge University Press, number 9780521195331.
    5. John Godard, 2011. "What Has Happened to Strikes?," British Journal of Industrial Relations, London School of Economics, vol. 49(2), pages 282-305, June.
    6. Currie, Janet & McConnell, Sheena, 1991. "Collective Bargaining in the Public Sector: The Effect of Legal Structure on Dispute Costs and Wages," American Economic Review, American Economic Association, vol. 81(4), pages 693-718, September.
    7. Michele Campolieti & Robert Hebdon & Benjamin Dachis, 2014. "The Impact of Collective Bargaining Legislation on Strike Activity and Wage Settlements," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 53(3), pages 394-429, July.
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    1. Campolieti, Michele & Ramos, Arturo, 2021. "The distribution of strike size: Empirical evidence from Europe and North America in the 19th and 20th centuries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    2. Michele Campolieti, 2023. "An event study analysis of the effects of collective bargaining legislation on strike outcomes," LABOUR, CEIS, vol. 37(2), pages 242-279, June.
    3. Michele Campolieti, 2021. "Strikes in British Coal Mining, 1893–1940: Testing Models of Strikes," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 60(2), pages 243-273, April.

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