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Part-time Work, Wages and Productivity: Evidence from Belgian Matched Panel Data

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  • Andrea Garnero
  • Stephan Kampelmann
  • François Rycx

Abstract

The authors use matched employer-employee panel data on Belgian private-sector firms to estimate the relationship between wage/productivity differentials and the firm’s labor composition in terms of part-time and sex. Findings suggest that the groups of women and part-timers generate employer rents, but also that the origin of these rents differs (relatively lower wages for women, relatively higher productivity for part-timers). Interactions between gender and part-time suggest that the positive productivity effect is driven by male part-timers working more than 25 hours, whereas the share of female part-timers is associated with wage penalties. The authors conclude that men and women differ with respect to motives for reducing working hours and the types of part-time jobs available to them: women often have to accommodate domestic constraints by downgrading to more flexible jobs, whereas male part-time work is frequently related to training and collectively negotiated hours reductions that do not affect hourly pay.

Suggested Citation

  • Andrea Garnero & Stephan Kampelmann & François Rycx, 2013. "Part-time Work, Wages and Productivity: Evidence from Belgian Matched Panel Data," Working Papers CEB 13-042, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:sol:wpaper:2013/151580
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Andrea Garnero & Stephan Kampelmann & François Rycx, 2014. "The Heterogeneous Effects of Workforce Diversity on Productivity, Wages, and Profits," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 53(3), pages 430-477, July.
    2. Rycx, Francois & Saks, Yves & Tojerow, Ilan, 2016. "Misalignment of Productivity and Wages across Regions? Evidence from Belgian Matched Panel Data," IZA Discussion Papers 10336, Institute for the Study of Labor (IZA).
    3. Collewet, Marion & Sauermann, Jan, 2017. "Working hours and productivity," Labour Economics, Elsevier, vol. 47(C), pages 96-106.
    4. Kampelmann, Stephan & Mahy, Benoît & Rycx, Francois & Vermeylen, Guillaume, 2016. "Who Is Your Perfect Match? Educational Norms, Educational Mismatch and Firm Profitability," IZA Discussion Papers 10399, Institute for the Study of Labor (IZA).
    5. Kira Rupietta, 2015. "How does Part-time Work Affect Firm Performance and Innovation Activity?," Working papers 2015/05, Faculty of Business and Economics - University of Basel.
    6. Andrea Garnero, 2016. "Are part-time workers less productive and underpaid?," IZA World of Labor, Institute for the Study of Labor (IZA), pages 249-249, April.
    7. Devicienti, Francesco & Grinza, Elena & Vannoni, Davide, 2015. "The Impact of Part-Time Work on Firm Total Factor Productivity: Evidence from Italy," IZA Discussion Papers 9463, Institute for the Study of Labor (IZA).
    8. repec:bla:coecpo:v:35:y:2017:i:4:p:716-734 is not listed on IDEAS
    9. Jon C. Messenger & Nikhil Ray, 2015. "The ‘deconstruction’ of part-time work," Chapters,in: Labour Markets, Institutions and Inequality, chapter 7, pages 184-208 Edward Elgar Publishing.
    10. R. Giuliano & B. Mahy & F. Rycx & G. Vermeylen, 2017. "Does corporate social responsibility make over-educated workers more productive?," Applied Economics, Taylor & Francis Journals, vol. 49(6), pages 587-605, February.
    11. Stephan Kampelmann & François Rycx, 2016. "Wage discrimination against immigrants: measurement with firm-level productivity data," IZA Journal of Migration, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-24, December.
    12. Eden,Maya, 2016. "The week," Policy Research Working Paper Series 7598, The World Bank.

    More about this item

    Keywords

    Wages; productivity; part-time employment; gender; matched panel data; GMM;

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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