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The Structure of the Wage Gap for Temporary Workers: Evidence from Australian Panel Data

Author

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  • Lass, Inga

    () (Melbourne Institute of Applied Economic and Social Research)

  • Wooden, Mark

    () (Melbourne Institute of Applied Economic and Social Research)

Abstract

This study uses panel data for Australia from the HILDA Survey to estimate the wage differential between workers in temporary jobs and workers in permanent jobs. Specifically, unconditional quantile regression methods with fixed effects are used to examine how this gap varies over the entire wages distribution. While fixed-term contract workers are on rates of pay that are similar to permanent workers, low-paid casual workers experience a wage penalty and high-paid casual workers a wage premium compared to their permanent counterparts. Finally, temporary agency workers usually receive a wage premium, which is particularly large for the most well paid.

Suggested Citation

  • Lass, Inga & Wooden, Mark, 2017. "The Structure of the Wage Gap for Temporary Workers: Evidence from Australian Panel Data," IZA Discussion Papers 10670, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp10670
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    References listed on IDEAS

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    1. Wooden, Mark, 2001. "Union Wage Effects in the Presence of Enterprise Bargaining," The Economic Record, The Economic Society of Australia, vol. 77(236), pages 1-18, March.
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    3. Hielke Buddelmeyer & Duncan McVicar & Mark Wooden, 2015. "Non-Standard “Contingent” Employment and Job Satisfaction: A Panel Data Analysis," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 54(2), pages 256-275, April.
    4. Colin Green & Parvinder Kler & Gareth Leeves, 2010. "Flexible Contract Workers in Inferior Jobs: Reappraising the Evidence," British Journal of Industrial Relations, London School of Economics, vol. 48(3), pages 605-629, September.
    5. Lixin Cai & Amy Y.C. Liu, 2008. "Union Wage Effects in Australia: Is There Variation along the Distribution?," The Economic Record, The Economic Society of Australia, vol. 84(267), pages 496-510, December.
    6. Antje Mertens & Vanessa Gash & Frances McGinnity, 2007. "The Cost of Flexibility at the Margin. Comparing the Wage Penalty for Fixed-term Contracts in Germany and Spain using Quantile Regression," LABOUR, CEIS, vol. 21(4-5), pages 637-666, December.
    7. Michael D. S. Morris & Alexander Vekker, 2001. "An Alternative Look at Temporary Workers, Their Choices, and the Growth in Temporary Employment," Journal of Labor Research, Transaction Publishers, vol. 22(2), pages 373-390, April.
    8. Simona COMI & Mara GRASSENI, 2009. "Are Temporary Workers Discriminated Against? Evidence from Europe," CHILD Working Papers wp17_09, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
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    11. Bosio, Giulio, 2009. "Temporary employment and wage gap with permanent jobs: evidence from quantile regression," MPRA Paper 16055, University Library of Munich, Germany.
    12. Antje Mertens & Frances McGinnity, 2005. "A “Two-Tier” Labour Market for Fixed-Term Jobs? Evaluating Evidence from West Germany Using Quantile Regression," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 125(1), pages 75-85.
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    15. Rocio Bonet & Cristina Cruz & Daniel Fernández Kranz & Rachida Justo, 2013. "Temporary Contracts and Work—Family Balance in a Dual Labor Market," ILR Review, Cornell University, ILR School, vol. 66(1), pages 55-87, January.
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    Cited by:

    1. Lewandowski, Piotr & Góra, Marek & Lis, Maciej, 2017. "Temporary Employment Boom in Poland: A Job Quality vs. Quantity Trade-off?," IZA Discussion Papers 11012, Institute for the Study of Labor (IZA).

    More about this item

    Keywords

    temporary employment wages; HILDA Survey; quantile regression; longitudinal data;

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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