Importance of Financial Variables on Efficiency of Class I Railroads in the United States
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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- 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.
- 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.
- David E. Davis & Wesley W. Wilson, 2003.
"Wages in Rail Markets: Deregulation, Mergers, and Changing Networks Characteristics,"
Southern Economic Journal,
Southern Economic Association, vol. 69(4), pages 865-885, April.
- 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.
- Davis, David E. & Wilson, Wesley W., 2002. "Wages in Rail Markets: Deregulation, Mergers, and Changing Networks Characteristics," UGPTI Department Publication 231808, North Dakota State University, Upper Great Plains Transportation Institute.
- 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.
- Evangelia Desli & Subhash C. Ray & Subal C. Kumbhakar, 2002.
"A Dynamic Stochastic Frontier Production Model with Time-Varying Efficiency,"
2003-15, University of Connecticut, Department of Economics.
- 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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