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Shipping Deregulation's Wage Effect on Low and High Wage Dockworkers

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  • Peoples, James
  • Talley, Wayne K.
  • Thanabordeekij, Pithoon

Abstract

This paper examines regional wage patterns of low- and high-wage dockworkers following deregulation. Findings reveal significant wage premium increases for low-wage dockworkers residing in the East and West Coasts following the initial deregulation in 1984. These premium gains surpass post-deregulation gains of high-wage dockworkers. Dockworker premiums do not change significantly for individuals residing in the southern U.S. These findings suggest that low-wage nonunion competition played a key role suppressing wages in the southern U.S. Unparallel union bargaining power in the East and West Coasts contributed to the high-relative wage gains of low-skilled dockworkers. In contrast to the post-1984 deregulation wage patterns, high-wage dockworkers received larger premium gains compared to the gains for low-wage dockworkers following passage of the Ocean Shipping Reform Act of 1998. These post-1998 findings support the hypothesis that the challenges in employing high-skilled dockworkers in the late 1990s contributed to their relative-wage gains.

Suggested Citation

  • Peoples, James & Talley, Wayne K. & Thanabordeekij, Pithoon, 2006. "Shipping Deregulation's Wage Effect on Low and High Wage Dockworkers," Research in Transportation Economics, Elsevier, vol. 16(1), pages 219-249, January.
  • Handle: RePEc:eee:retrec:v:16:y:2006:i:1:p:219-249
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    References listed on IDEAS

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    1. Wayne K. Talley, 2000. "Ocean Container Shipping: Impacts of a Technological Improvement," Journal of Economic Issues, Taylor & Francis Journals, vol. 34(4), pages 933-948, December.
    2. Talley Wayne K., 2004. "Wage Differentials of Intermodal Transportation Carriers and Ports: Deregulation Versus Regulation," Review of Network Economics, De Gruyter, vol. 3(2), pages 1-21, June.
    3. Wayne K. Talley, 2002. "Dockworker Earnings, Containerisation, and Shipping Deregulation," Journal of Transport Economics and Policy, University of Bath, vol. 36(3), pages 447-467, September.
    4. Charles C. Killingsworth, 1962. "The Modernization of West Coast Longshore Work Rules," ILR Review, Cornell University, ILR School, vol. 15(3), pages 295-306, April.
    5. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    6. Barry T. Hirsch, 1988. "Trucking Regulation, Unionization, and Labor Earnings: 1973-85," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 296-319.
    7. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
    8. Michelle L. Barnes & Anthony W. Hughes, 2002. "A quantile regression analysis of the cross section of stock market returns," Working Papers 02-2, Federal Reserve Bank of Boston.
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