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Federal Minimum Wage Hikes Do Reduce Teenage Employment

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  • Stephen Bazen

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Velayoudom Marimoutou

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

In 2002 we published a paper in which we used state space time series methods to analyse the teenage employment-federal minimum wage relationship in the US (Bazen and Marimoutou, 2002). The study used quarterly data for the 46 year period running from 1954 to 1999. We detected a small, negative but statistically significant effect of the federal minimum wage on teenage employment, at a time when some studies were casting doubt on the existence of such an effect. In this note we re-estimate the original model with a further 16 years of data (up to 2015). We find that the model satisfactorily tracks the path of the teenage employment-population ratio over this 60 year period, and yields a consistently negative and statistically significant effect of minimum wages on teenage employment. The conclusion reached is the same as in the original paper, and the elasticity estimates very similar: federal minimum wage hikes lead to a reduction in teenage employment with a short run elasticity of around -0.13. The estimated long run elasticity of between -0.37 and -0.47 is less stable, but is nevertheless negative and statistically significant.

Suggested Citation

  • Stephen Bazen & Velayoudom Marimoutou, 2018. "Federal Minimum Wage Hikes Do Reduce Teenage Employment," Working Papers halshs-01945777, HAL.
  • Handle: RePEc:hal:wpaper:halshs-01945777
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01945777
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    References listed on IDEAS

    as
    1. David Card, 1992. "Using Regional Variation in Wages to Measure the Effects of the Federal Minimum Wage," ILR Review, Cornell University, ILR School, vol. 46(1), pages 22-37, October.
    2. repec:iza:izawol:journl:y:2014:p:6 is not listed on IDEAS
    3. David Card, 1992. "Using Regional Variation in Wages to Measure the Effects of the Federal Minimum Wage," Working Papers 680, Princeton University, Department of Economics, Industrial Relations Section..
    4. Charles Brown & Curtis Gilroy & Andrew Kohen, 1983. "Time-Series Evidence of the Effect of the Minimum Wage on Youth Employment and Unemployment," Journal of Human Resources, University of Wisconsin Press, vol. 18(1), pages 3-31.
    5. Harvey, Andrew & Scott, Andrew, 1994. "Seasonality in Dynamic Regression Models," Economic Journal, Royal Economic Society, vol. 104(427), pages 1324-1345, November.
    6. David Neumark, 2018. "Employment effects of minimum wages," IZA World of Labor, Institute of Labor Economics (IZA), pages 1-6, December.
    7. David Neumark & William Wascher, 1992. "Employment Effects of Minimum and Subminimum Wages: Panel Data on State Minimum Wage Laws," ILR Review, Cornell University, ILR School, vol. 46(1), pages 55-81, October.
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    Cited by:

    1. David Neumark & Peter Shirley, 2022. "Myth or measurement: What does the new minimum wage research say about minimum wages and job loss in the United States?," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 61(4), pages 384-417, October.

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    More about this item

    Keywords

    minimum wage; teenage employment; state space methods; unobserved components model;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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