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Importance of Financial Variables on Efficiency of Class I Railroads in the United States

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  • Shaik, Saleem
  • Allen, Albert J.
  • Myles, Albert E.
  • Yeboah, Osei-Agyeman

Abstract

This study evaluates the consequences of financial variables on the efficiency of Class I railroads in the United States for the period 1996-2006. A panel stochastic frontier analysis is used to simultaneously estimate the stochastic frontier model and financial ratio model with output and efficiency measures as endogenous variables. Results show the average efficiency measures was 83 percent across six major class I railroads. The Burlington Northern-Santa Fe was most efficient and Norfolk Southern the least efficient for the period, 1996-2006.

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File URL: http://purl.umn.edu/6874
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Bibliographic Info

Paper provided by Southern Agricultural Economics Association in its series 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas with number 6874.

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Date of creation: 2008
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Handle: RePEc:ags:saeaed:6874

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Keywords: Public Economics;

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  1. Lee C. Adkins & Ronald L. Moomaw & Andreas Savvides, 2002. "Institutions, Freedom, and Technical Efficiency," Southern Economic Journal, Southern Economic Association, vol. 69(1), pages 92-108, July.
  2. Davis, David E. & Wilson, Wesley W., 2005. "Wages in Rail Markets: Deregulation, Mergers, and Changing Network Characteristics," MPRA Paper 7663, University Library of Munich, Germany.
  3. Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
  4. Baltagi, Badi H & Griffin, James M & Rich, Daniel P, 1995. "The Measurement of Firm-Specific Indexes of Technical Change," The Review of Economics and Statistics, MIT Press, vol. 77(4), pages 654-63, November.
  5. Evangelia Desli & Subhash Ray & Subal Kumbhakar, 2003. "A dynamic stochastic frontier production model with time-varying efficiency," Applied Economics Letters, Taylor & Francis Journals, vol. 10(10), pages 623-626.
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