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Biomarkers and long-term labour market outcomes: the case of creatine

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  • Böckerman, Petri
  • Bryson, Alex
  • Hakulinen, Christian
  • Pehkonen, Jaakko
  • Pulkki-Raback, Laura
  • Raitakari, Olli
  • Viinikainen, Jutta

Abstract

I evaluate the impact of the UK Working Time Regulations 1998, which introduced mandatory paid holiday entitlement. The regulation gave (nearly) all workers the right to a minimum of 4 weeks of paid holiday per a year. With constant weekly pay this change amounts effectively to an increase in the real hourly wage of about 8.5% for someone going from 0 to 4 weeks paid holiday per year, which should lead to adjustments in employment. For employees I use complementary log-log regression to account for right-censoring of employment spells. I find no increase in the hazard to exit employment within a year after treatment. Adjustments in wages cannot explain this result as they are increasing for the treated groups relative to the control. I also evaluate the long run trend in aggregate employment, using the predicted treatment probabilities in a difference-in-difference framework. Here I find a small and statistically significant decrease in employment. This effect is driven by a trend reversal in employment, coinciding with the treatment.

Suggested Citation

  • Böckerman, Petri & Bryson, Alex & Hakulinen, Christian & Pehkonen, Jaakko & Pulkki-Raback, Laura & Raitakari, Olli & Viinikainen, Jutta, 2014. "Biomarkers and long-term labour market outcomes: the case of creatine," LSE Research Online Documents on Economics 60271, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:60271
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    Cited by:

    1. Sinha, Kompal & Davillas, Apostolos & Jones, Andrew M. & Sharma, Anurag, 2021. "Do socioeconomic health gradients persist over time and beyond income? A distributional analysis using UK biomarker data," Economics & Human Biology, Elsevier, vol. 43(C).
    2. Cornelius A. Rietveld & Petri Böckerman & Jutta Viinikainen & Alex Bryson & Olli Raitakari & Jaakko Pehkonen, 2016. "Creatine and entrepreneurship," Journal of Bioeconomics, Springer, vol. 18(1), pages 53-64, April.
    3. Sarah Brown & Pulak Ghosh & Daniel Gray & Bhuvanesh Pareek & Jennifer Roberts, 2017. "Saving Behaviour and Biomarkers: A High-Dimensional Bayesian Analysis of British Panel Data," Working Papers 2017005, The University of Sheffield, Department of Economics.
    4. Zhen Yue & Kai Zhao, 2020. "Understanding the Effectiveness of Higher Education System: Evidences from Market Outcomes of Early University Graduates in Seven European Countries," Sustainability, MDPI, vol. 12(18), pages 1-32, September.

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    More about this item

    Keywords

    Biomarkers; creatine; creatinine; labour market; earnings; employment;
    All these keywords.

    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

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