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Minimum Wages and Employment: Reconsidering the Use of a Time-Series Approach as an Evaluation Tool

Author

Listed:
  • Wang-Sheng Lee

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

  • Sandy Suardi

    (Department of Economics and Finance, La Trobe University)

Abstract

The time-series approach used in the minimum wage literature essentially aims to estimate a treatment effect of increasing the minimum wage. In this paper, we employ a novel approach based on aggregate time-series data that allows us to determine if minimum wage changes have significant effects on employment. This involves the use of tests for structural breaks as a device for identifying discontinuities in the data which potentially represent treatment effects. In an application based on Australian data, the tentative conclusion is that the introduction of minimum wage legislation in Australia in 1997 and subsequent minimum wage increases appear not to have had any significant negative employment effects for teenagers.

Suggested Citation

  • Wang-Sheng Lee & Sandy Suardi, 2008. "Minimum Wages and Employment: Reconsidering the Use of a Time-Series Approach as an Evaluation Tool," Melbourne Institute Working Paper Series wp2008n20, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    • Handle: RePEc:iae:iaewps:wp2008n20
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    References listed on IDEAS

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    1. Alison J. Wellington, 1991. "Effects of the Minimum Wage on the Employment Status of Youths: An Update," Journal of Human Resources, University of Wisconsin Press, vol. 26(1), pages 27-46.
    2. Anne Morrison Piehl & Suzanne J. Cooper & Anthony A. Braga & David M. Kennedy, 2003. "Testing for Structural Breaks in the Evaluation of Programs," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 550-558, August.
    3. Michael Lechner, 2008. "Matching estimation of dynamic treatment models: Some practical issues," Advances in Econometrics, in: Modelling and Evaluating Treatment Effects in Econometrics, pages 289-333, Emerald Group Publishing Limited.
    4. repec:bla:ausecr:v:37:y:2004:i:2:p:166-172 is not listed on IDEAS
    5. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    6. Andrew Leigh, 2007. "Does Raising the Minimum Wage Help the Poor?," The Economic Record, The Economic Society of Australia, vol. 83(263), pages 432-445, December.
    7. Brown, Charles & Gilroy, Curtis & Kohen, Andrew, 1982. "The Effect of the Minimum Wage on Employment and Unemployment," Journal of Economic Literature, American Economic Association, vol. 20(2), pages 487-528, June.
    8. Fredriksson, Peter & Johansson, Per, 2002. "Program evaluation and random program starts," Working Paper Series 2003:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    9. Bai, Jushan, 1997. "Estimating Multiple Breaks One at a Time," Econometric Theory, Cambridge University Press, vol. 13(3), pages 315-352, June.
    10. Michael Lechner & Ruth Miquel, 2010. "Identification of the effects of dynamic treatments by sequential conditional independence assumptions," Empirical Economics, Springer, vol. 39(1), pages 111-137, August.
    11. Hansen, Bruce E, 1997. "Approximate Asymptotic P Values for Structural-Change Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 60-67, January.
    12. Neumark, David & Wascher, William L., 2007. "Minimum Wages and Employment," Foundations and Trends(R) in Microeconomics, now publishers, vol. 3(1–2), pages 1-182, March.
    13. Michael Lechner, 1999. "Nonparametric bounds on employment and income effects of continuous vocational training in East Germany," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 1-28.
    14. Lechner, Michael, 1999. "Earnings and Employment Effects of Continuous Off-the-Job Training in East Germany after Unification," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 74-90, January.
    15. Hristos Doucouliagos & T. D. Stanley, 2009. "Publication Selection Bias in Minimum‐Wage Research? A Meta‐Regression Analysis," British Journal of Industrial Relations, London School of Economics, vol. 47(2), pages 406-428, June.
    16. Andrew Leigh, 2003. "Employment Effects of Minimum Wages: Evidence from a Quasi‐Experiment," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 36(4), pages 361-373, December.
    17. D. W. K. Andrews, 2003. "End-of-Sample Instability Tests," Econometrica, Econometric Society, vol. 71(6), pages 1661-1694, November.
    18. Matthew James & Mark Wooden & Peter Dawkins, 2001. "Minimum Wages And The Fallacy Of The Inflated Denominator," Economic Papers, The Economic Society of Australia, vol. 20(3), pages 59-70, September.
    19. Harding, Don & Harding, Glenys, 2004. "Minimum wages in Australia: an analysis of the impact on small and medium sized businesses," MPRA Paper 25, University Library of Munich, Germany.
    20. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    21. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    22. Stephen Bazen & Velayoudom Marimoutou, 2002. "Looking for a Needle in a Haystack? A Re‐examination of the Time Series Relationship between Teenage Employment and Minimum Wages in the United States," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(supplemen), pages 699-725, December.
    23. repec:bla:obuest:v:64:y:2002:i:s1:p:699-725 is not listed on IDEAS
    24. Jaehwan Park & Ronald Ratti, 1998. "Stationary data and the effect of the minimum wage on teenage employment," Applied Economics, Taylor & Francis Journals, vol. 30(4), pages 435-440.
    25. repec:bla:obuest:v:64:y:2002:i:0:p:699-725 is not listed on IDEAS
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    Cited by:

    1. Patrick Belser & Uma Rani, 2015. "Minimum wages and inequality," Chapters, in: Janine Berg (ed.), Labour Markets, Institutions and Inequality, chapter 5, pages 123-146, Edward Elgar Publishing.
    2. Dale Belman & Paul Wolfson & Kritkorn Nawakitphaitoon, 2015. "Who Is Affected by the Minimum Wage?," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 54(4), pages 582-621, October.
    3. James Bishop, 2018. "The Effect of Minimum Wage Increases on Wages, Hours Worked and Job Loss," RBA Research Discussion Papers rdp2018-06, Reserve Bank of Australia.
    4. Martin O'Brien & Raymond Markey & Eduardo Pol, 2018. "The Short Run Impact of Penalty Rate Cuts on Employment Outcomes in Retail and Hospitality Sectors in Australia," Economic Papers, The Economic Society of Australia, vol. 37(3), pages 270-286, September.
    5. Artur Sikora, 2021. "The minimum wage in Poland and its connection to unemployment: Evaluating causality," Zeszyty Naukowe Małopolskiej Wyższej Szkoły Ekonomicznej w Tarnowie / The Malopolska School of Economics in Tarnow Research Papers Collection, Malopolska School of Economics in Tarnow, vol. 50(2), pages 65-77, June.

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    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

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