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Boosting the employment rate of older men and women

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  • Vincent VANDENBERGHE

    (UNIVERSITE CATHOLIQUE DE LOUVAIN, Institut de Recherches Economiques et Sociales (IRES))

Abstract

European countries need to expand employment among older individuals. Many papers have examined this issue from different angles. However, very few seem to have considered its gender dimension properly, despite evidence that lifting the overall senior employment rate requires significantly raising that of women older than 50. The key issue examined by this paper is whether employers are willing to employ more older workers, in particular older women. The answer depends to a large extent on the ratio of older individuals’ productivity to their cost to employers. To address this question we tap into a unique firm-level panel of Belgian data to produce robust evidence on the causal effect of age/gender on productivity and labour costs. We take advantage of the panel structure to identify age/gender-related differences from within-firm variation. Moreover, inspired by recent developments in the production function estimation literature, we address the problem of endogeneity of the age/gender mix, using a structural production function estimator (Olley & Pakes, 1996; Levinsohn & Petrin, 2003) alongside IV-GMM methods where lagged value of labour inputs are used as instruments. Our results indicate a small negative impact of larger shares of older men on the productivity-labour cost ratio. An increment of 10%-points of in their share causes a 0.17 to 0.69%-point contraction. However, the main result is that the equivalent handicap with older women is larger, ranging from 1.3 to 2.0%-points. This is not good news for older women’s employability. And the vast services industry does not seem to offer working conditions that mitigate older women’s disadvantage, on the contrary.

Suggested Citation

  • Vincent VANDENBERGHE, 2011. "Boosting the employment rate of older men and women," LIDAM Discussion Papers IRES 2011010, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  • Handle: RePEc:ctl:louvir:2011010
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    Cited by:

    1. Vincent Vandenberghe, 2021. "Work beyond the age of 50. What role for mental versus physical health?," LABOUR, CEIS, vol. 35(3), pages 311-347, September.
    2. Stephan Kampelmann & François Rycx, 2012. "Are Occupations Paid What They are Worth? An Econometric Study of Occupational Wage Inequality and Productivity," De Economist, Springer, vol. 160(3), pages 257-287, September.
    3. Vincent VANDENBERGHE, 2021. "Health, cognition and work capacity beyond the age of 50: International evidence on the extensive and intensive margins of work," International Labour Review, International Labour Organization, vol. 160(2), pages 271-310, June.
    4. Lovász, Anna & Rigó, Mariann, 2013. "Vintage effects, aging and productivity," Labour Economics, Elsevier, vol. 22(C), pages 47-60.
    5. Vandenberghe Vincent, 2021. "Differentiating retirement age to compensate for health differences," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-34, May.
    6. Lara Lebedinski & Vincent Vandenberghe, 2014. "Assessing education’s contribution to productivity using firm-level evidence," International Journal of Manpower, Emerald Group Publishing Limited, vol. 35(8), pages 1116-1139, October.
    7. Kim, Hoolda & Song Lee, Bun, 2023. "Aging workforce, wages, and productivity: Do older workers drag productivity down in Korea?," The Journal of the Economics of Ageing, Elsevier, vol. 24(C).
    8. Christian Pfeifer & Joachim Wagner, 2014. "Age and gender effects of workforce composition on productivity and profits: Evidence from a new type of data for German enterprises," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(1), March.
    9. Stephan Humpert, 2012. "Age and Gender Differences in Job Opportunities," Working Paper Series in Economics 235, University of Lüneburg, Institute of Economics.
    10. Y. Saks, 2014. "Employees: too expensive at 50? The age component in wage-setting," Economic Review, National Bank of Belgium, issue i, pages 61-74, June.
    11. Rycx, François & Saks, Yves & Tojerow, Ilan, 2016. "Misalignment of Productivity and Wages across Regions? Evidence from Belgian Matched Panel Data," IZA Discussion Papers 10336, Institute of Labor Economics (IZA).
    12. V. Vandenberghe, 2017. "The productivity challenge. What to expect from better-quality labour and capital inputs?," Applied Economics, Taylor & Francis Journals, vol. 49(40), pages 4013-4025, August.
    13. Vandenberghe, V., 2013. "Are firms willing to employ a greying and feminizing workforce?," Labour Economics, Elsevier, vol. 22(C), pages 30-46.
    14. Liis Roosaar & Jaan Masso & Urmas Varblane, 2017. "The Structural Change And Labour Productivity Of Firms: Do Changes In The Age And Wage Structure Of Employees Matter?," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 103, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    15. Christian Pfeifer & Joachim Wagner, 2012. "Age and gender composition of the workforce, productivity and profits: Evidence from a new type of data for German enterprises," Working Paper Series in Economics 232, University of Lüneburg, Institute of Economics.

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    More about this item

    Keywords

    Ageing; Labour Productivity; Panel Data Analysis;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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