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Cyclical fluctuations and coordination in the US steel industry

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  • Craig Gallet

Abstract

The model developed uses a measure of the discrepancy between price and marginal cost to estimate the effects of domestic demand fluctuations on the degree of oligopoly coordination in the US steel industry. Due to the importance of imports, however, domestic demand fluctuations occur whenever market demand and/or import supply shift. Consistent with several recent game-theoretic models, our results show that coordination among US steel producers tends to be weakest when market demand is high and import supply is low.

Suggested Citation

  • Craig Gallet, 1997. "Cyclical fluctuations and coordination in the US steel industry," Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 279-285.
  • Handle: RePEc:taf:applec:v:29:y:1997:i:3:p:279-285
    DOI: 10.1080/000368497327056
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    Cited by:

    1. Craig Gallet, 2001. "The Gradual Response of Market Power to Mergers in the U.S. Steel Industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 18(3), pages 327-336, May.
    2. Bruce A. Blonigen & Benjamin H. Liebman & Wesley W. Wilson, 2007. "Trade Policy and Market Power: The Case of the US Steel Industry," NBER Working Papers 13671, National Bureau of Economic Research, Inc.
    3. Blonigen, Bruce A. & Liebman, Benjamin H. & Pierce, Justin R. & Wilson, Wesley W., 2013. "Are all trade protection policies created equal? Empirical evidence for nonequivalent market power effects of tariffs and quotas," Journal of International Economics, Elsevier, vol. 89(2), pages 369-378.
    4. Michiel van Dijk & George Philippidis & Geert Woltjer, 2016. "Catching up with history: A methodology to validate global CGE models," FOODSECURE Technical papers 9, LEI Wageningen UR.
    5. Carmen García & Joan Ramon Borrell & José Manuel Ordóñez-de-Haro & Juan Luis Jiménez, 2022. "Managers’ expectations, business cycles and cartels’ life cycle," European Journal of Law and Economics, Springer, vol. 53(3), pages 451-484, June.
    6. Andrea Vaona, 2016. "A nonparametric panel data approach to the cyclical dynamics of price-cost margins in the fourth Kondratieff wave," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 155-170, August.
    7. Bruce A. Blonigen & Benjamin H. Liebman & Justin R. Pierce & Wesley W. Wilson, 2012. "Are all trade policies created equal? empirical evidence for nonequivalent market power effects of tariffs and quotas," Finance and Economics Discussion Series 2012-17, Board of Governors of the Federal Reserve System (U.S.).
    8. Berends, P. A. J. & Romme, A. G. L., 2001. "Cyclicality of capital-intensive industries: a system dynamics simulation study of the paper industry," Omega, Elsevier, vol. 29(6), pages 543-552, December.
    9. John M. Connor, 2003. "Private International Cartels: Effectiveness, Welfare, and Anticartel Enforcement," Working Papers 03-12, Purdue University, College of Agriculture, Department of Agricultural Economics.
    10. Margaret C. Levenstein & Valerie Y. Suslow, 2002. "What Determines Cartel Success?," UMASS Amherst Economics Working Papers 2002-01, University of Massachusetts Amherst, Department of Economics.
    11. Benjamin H. Liebman & Kasaundra M. Tomlin, 2007. "Steel safeguards and the welfare of U.S. steel firms and downstream consumers of steel: a shareholder wealth perspective," Canadian Journal of Economics, Canadian Economics Association, vol. 40(3), pages 812-842, August.
    12. Orea, Luis, 2007. "Estimating Firm-Specific Market Power: A Composed Error Term Approach," Efficiency Series Papers 2007/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    13. Kagitani, Koichi & Harimaya, Kozo, 2015. "Safeguards and voluntary export restraints under the World Trade Organization," Japan and the World Economy, Elsevier, vol. 36(C), pages 29-41.
    14. Vaona, Andrea, 2010. "A nonparametric panel data approach to the cyclical dynamics of price-cost margins," Kiel Working Papers 1580, Kiel Institute for the World Economy (IfW Kiel).

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