IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v30y1998i4p435-440.html
   My bibliography  Save this article

Stationary data and the effect of the minimum wage on teenage employment

Author

Listed:
  • Jaehwan Park
  • Ronald Ratti

Abstract

One of the interesting features of time series work on the effect of the minimum wage is that the problem of possible spurious regressions when data may be non-stationary has been largely ignored. It is shown that this is potentially a serious problem. It is found that although the teenage employment to population ratio is stationary, the 'independent' variables in time series regression equations are non-stationary. Substitution of the stationary first differences of the independent variables in the regression equations for their levels, is found to greatly undermine the estimated influence of the minimum wage on the employment-to-population ratio. Estimates of the effect of the minimum wage are found to be only marginally more significant when seasonal differencing of the dependent variable and an ARCH estimation technique are employed.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:applec:v:30:y:1998:i:4:p:435-440
    DOI: 10.1080/000368498325705
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/000368498325705
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/000368498325705?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Gary Solon, 1985. "The Minimum Wage and Teenage Employment: A Reanalysis with Attention to Serial Correlation and Seasonality," Journal of Human Resources, University of Wisconsin Press, vol. 20(2), pages 292-297.
    3. Bollerslev, Tim & Engle, Robert F, 1993. "Common Persistence in Conditional Variances," Econometrica, Econometric Society, vol. 61(1), pages 167-186, January.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    5. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    6. 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.
    7. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    8. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sara Lemos, 2006. "Anticipated effects of the minimum wage on prices," Applied Economics, Taylor & Francis Journals, vol. 38(3), pages 325-337.
    2. Wang‐Sheng Lee & Sandy Suardi, 2011. "Minimum Wages and Employment: Reconsidering the Use of a Time Series Approach as an Evaluation Tool," British Journal of Industrial Relations, London School of Economics, vol. 49(Supplemen), pages 376-401, July.
    3. Chuang, Yih-Chyi, 2006. "The Effect of Minimum Wage on Youth Employment and Unemployment in Taiwan," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 47(2), pages 155-167, December.
    4. Christian Ragacs, 2007. "On the empirics of minimum wages and employment: evidence for the Austrian industry," Applied Economics Letters, Taylor & Francis Journals, vol. 15(1), pages 61-64.
    5. Peter Sunley & Ron Martin, 2000. "The Geographies of the National Minimum Wage," Environment and Planning A, , vol. 32(10), pages 1735-1758, October.
    6. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Osamah M. Al-Khazali, 2003. "Stock Prices, Inflation, and Output: Evidence from the Emerging Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 2(3), pages 287-314, September.
    2. Haigh, Michael S. & Bryant, Henry L., 2000. "Price And Price Risk Dynamics In Barge And Ocean Freight Markets And The Effects On Commodity Trading," 2000 Conference, April 17-18 2000, Chicago, Illinois 18934, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    3. Ming-Yuan Leon Li & Chun-Nan Chen, 2010. "Examining the interrelation dynamics between option and stock markets using the Markov-switching vector error correction model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(7), pages 1173-1191.
    4. Pao, Hsiao-Tien, 2009. "Forecast of electricity consumption and economic growth in Taiwan by state space modeling," Energy, Elsevier, vol. 34(11), pages 1779-1791.
    5. McAvinchey, Ian D., 2003. "Modelling and forecasting in an energy demand system with high and low frequency information," Economic Modelling, Elsevier, vol. 20(1), pages 207-226, January.
    6. N. Groenewold, 2000. "Fundamental Share Prices and Aggregate Real Output," Economics Discussion / Working Papers 00-05, The University of Western Australia, Department of Economics.
    7. N. Vijayamohanan Pillai, 2001. "Electricity demand analysis and forecasting: The tradition is questioned," Centre for Development Studies, Trivendrum Working Papers 312, Centre for Development Studies, Trivendrum, India.
    8. Chi-Lu Peng & Chi-Fu Chung & Chin-Chang Tsai & Cheng-Te Wang, 2017. "Exploring the Returns and Volatility Spillover Effect in Taiwan and Japan Stock Markets," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 7(2), pages 175-187, February.
    9. Sunil Sharma & Neil R. Ericsson, 1998. "Broad money demand and financial liberalization in Greece," Empirical Economics, Springer, vol. 23(3), pages 417-436.
    10. Myers, Robert J., 1992. "Time Series Econometrics and Commodity Price Analysis," 1992 Conference (36th), February 10-13, 1992, Canberra, Australia 146550, Australian Agricultural and Resource Economics Society.
    11. Manolis Kavussanos & Ilias Visvikis, 2008. "Hedging effectiveness of the Athens stock index futures contracts," The European Journal of Finance, Taylor & Francis Journals, vol. 14(3), pages 243-270.
    12. Pedro Hugo Clavijo Cortes, 2017. "Balance comercial y volatilidad del tipo de cambio nominal: Un estudio de series de tiempo para Colombia," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 11(1), pages 37-58, June.
    13. Efimova, Olga & Serletis, Apostolos, 2014. "Energy markets volatility modelling using GARCH," Energy Economics, Elsevier, vol. 43(C), pages 264-273.
    14. Kerry Patterson & Michael A. Thornton, 2013. "A review of econometric concepts and methods for empirical macroeconomics," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 2, pages 4-42, Edward Elgar Publishing.
    15. Committee, Nobel Prize, 2003. "Time-series Econometrics: Cointegration and Autoregressive Conditional Heteroskedasticity," Nobel Prize in Economics documents 2003-1, Nobel Prize Committee.
    16. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521520911, September.
    17. Samih Antoine Azar & Angelic Salha, 2017. "The Bias in the Long Run Relation between the Prices of BRENT and West Texas Intermediate Crude Oils," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 44-54.
    18. Titelman Kardonsky, Daniel & Martner Fanta, Ricardo, 1992. "La demanda de dinero en Chile: una comparación de métodos alternativos de estimación de vectores de cointegración," Series Históricas 9584, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    19. Yap, Wei Yim & Lam, Jasmine S.L., 2006. "Competition dynamics between container ports in East Asia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(1), pages 35-51, January.
    20. Chi-Wei Su, 2012. "The relationship between exchange rate and macroeconomic variables in China," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 30(1), pages 33-56.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:30:y:1998:i:4:p:435-440. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.