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Matching and Inverse Propensity Weighting Estimates of the Union Wage Premium: Evidence from Canada, 1997–2014

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  • Michele Campolieti

Abstract

I estimate the union wage premium for private†sector workers using Canadian data from Statistics Canada's Labour Force Survey from 1997 to 2014, examining the trend and gender differences in the premium. I obtain my estimates using matching and inverse propensity weighting estimators, which form counterfactuals for union workers. These estimators create better covariate balance and can also be used to address the bias that arises from the log transformation of wages.

Suggested Citation

  • Michele Campolieti, 2018. "Matching and Inverse Propensity Weighting Estimates of the Union Wage Premium: Evidence from Canada, 1997–2014," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 57(1), pages 101-130, January.
    • Handle: RePEc:bla:indres:v:57:y:2018:i:1:p:101-130
    DOI: 10.1111/irel.12202
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    Cited by:

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    2. Kraft, Kornelius & Lammers, Alexander, 2021. "The Effects of Reforming a Federal Employment Agency on Labor Demand," IZA Discussion Papers 14629, Institute of Labor Economics (IZA).
    3. Blackburn, McKinley L., 2021. "Are U.S. teacher salaries competitive? Accounting for geography and the retransformation bias in logarithmic regressions," Economics of Education Review, Elsevier, vol. 84(C).
    4. Rafael Gomez & Danielle Lamb, 2019. "Unions and Non-Standard Work: Union Representation and Wage Premiums across Non-Standard Work Arrangements in Canada, 1997–2014," ILR Review, Cornell University, ILR School, vol. 72(4), pages 1009-1035, August.
    5. Tingting Zhang & Morley Gunderson, 2020. "Impact of Occupational Licensing on Wages and Wage Inequality: Canadian Evidence 1998–2018," Journal of Labor Research, Springer, vol. 41(4), pages 338-351, December.
    6. Danielle Lamb & Rafael Gomez & Milad Moghaddas, 2022. "Unions and hazard pay for COVID‐19: Evidence from the Canadian Labour Force Survey," British Journal of Industrial Relations, London School of Economics, vol. 60(3), pages 606-634, September.

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