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Minimum Wages and Teen Employment: A Spatial Panel Approach

Author

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  • Charlene Kalenkoski

    (Ohio University Department of Economics)

  • Donald Lacombe

    (Regional Research Institute, West Virginia University)

Abstract

The authors employ spatial econometric techniques and Annual Averages data from the U.S. Bureau of Labor Statistics for 1990-2004 to examine how changes in the minimum wage affect teen employment. Spatial econometric techniques account for the fact that employment is correlated across states. Such correlation may exist if a change in the minimum wage in a state affects employment not only in its own state but also in other, neighboring states. The authors show that state minimum wages negatively affect teen employment to a larger degree than is found in studies that do not account for this correlation. Their results show a combined direct and indirect effect of minimum wages on teen employment to be -2.1% for a 10% increase in the real effective minimum wage. Ignoring spatial correlation underestimates the magnitude of the effect of minimum wages on teen employment.

Suggested Citation

  • Charlene Kalenkoski & Donald Lacombe, 2011. "Minimum Wages and Teen Employment: A Spatial Panel Approach," Working Papers Working Paper 2011-08, Regional Research Institute, West Virginia University.
  • Handle: RePEc:rri:wpaper:2011wp08
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    File URL: https://researchrepository.wvu.edu/rri_pubs/62/
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    References listed on IDEAS

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    1. Sylvia A. Allegretto & Arindrajit Dube & Michael Reich, 2011. "Do Minimum Wages Really Reduce Teen Employment? Accounting for Heterogeneity and Selectivity in State Panel Data," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 50(2), pages 205-240, April.
    2. David Neumark & William L. Wascher, 2008. "Minimum Wages," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262141027, December.
    3. Charlene M. Kalenkoski & Donald J. Lacombe, 2013. "Minimum wages and teen employment: A spatial panel approach," Papers in Regional Science, Wiley Blackwell, vol. 92(2), pages 407-417, June.
    4. Jeffrey P. Thompson, 2009. "Using Local Labor Market Data to Re-Examine the Employment Effects of the Minimum Wage," ILR Review, Cornell University, ILR School, vol. 62(3), pages 343-366, April.
    5. Charlene Kalenkoski & Donald Lacombe, 2008. "Effects of Minimum Wages on Youth Employment: the Importance of Accounting for Spatial Correlation," Journal of Labor Research, Springer, vol. 29(4), pages 303-317, December.
    6. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    7. Addison, John T. & Blackburn, McKinley L. & Cotti, Chad D., 2009. "Do minimum wages raise employment? Evidence from the U.S. retail-trade sector," Labour Economics, Elsevier, vol. 16(4), pages 397-408, August.
    8. Dubin, Robin A., 1998. "Spatial Autocorrelation: A Primer," Journal of Housing Economics, Elsevier, vol. 7(4), pages 304-327, December.
    9. Keil, Manfred & Robertson, Donald & Symons, James, 2001. "Minimum wages and employment," LSE Research Online Documents on Economics 20119, London School of Economics and Political Science, LSE Library.
    10. 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.
    11. Kenneth A. Couch & David C. Wittenburg, 2001. "The Response of Hours of Work to Increases in the Minimum Wage," Southern Economic Journal, John Wiley & Sons, vol. 68(1), pages 171-177, July.
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    2. Charlene M. Kalenkoski & Donald J. Lacombe, 2013. "Minimum wages and teen employment: A spatial panel approach," Papers in Regional Science, Wiley Blackwell, vol. 92(2), pages 407-417, June.
    3. Philipp Berge & Hanna Frings, 2020. "High-impact minimum wages and heterogeneous regions," Empirical Economics, Springer, vol. 59(2), pages 701-729, August.
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    5. Jayaraman, Praveena & Lacombe, Donald J. & Gebremedhin, Tesfa, 2013. "A Spatial Analysis of the Role of Residential Real Estate Investment in the Economic Development of the Northeast Region of the United States," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150953, Agricultural and Applied Economics Association.
    6. Osman, Syed Muhammad Ishraque & Islam, Faridul & Sakib, Nazmus, 2022. "Economic resilience in times of public health shock: The case of the US states," Research in Economics, Elsevier, vol. 76(4), pages 277-289.
    7. Shanshan Liu & Thomas J. Hyclak & Krishna Regmi, 2016. "Impact of the Minimum Wage on Youth Labor Markets," LABOUR, CEIS, vol. 30(1), pages 18-37, March.
    8. Richard Kofi Asravor & Frank Gyimah Sackey, 2022. "Wage Price Floors and Sectoral Employment Outcomes in Ghana," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 65(1), pages 103-122, March.
    9. Elham Erfanian & Alan R. Collins, 2018. "Charges for Water and Access: What Explains the Differences Among West Virginian Municipalities?," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-27, October.
    10. Peng, Ling & Hong, Yongmiao, 2013. "Productivity spillovers among linked sectors," China Economic Review, Elsevier, vol. 25(C), pages 44-61.
    11. Xingang Wang & Sholeh A. Maani, 2021. "Ethnic regional networks and immigrants' earnings: A spatial autoregressive network approach," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 141-168, February.
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    More about this item

    Keywords

    spatial econometrics; minimum wage; correlation;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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