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Time Series Analysis of Deregulatory Dynamics and Technical Efficiency: The Case of the U.S. Airline Industry

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Author Info
Alam, Ila M Semenick
Sickles, Robin C

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Abstract

As markets worldwide become less regulated, it becomes increasingly possible and timely to establish the presence of an empirical relationship between technical efficiency and market forces compelling agents to economize. This article, taking an innovative approach to test the hypothesis that competitive pressure enhances efficiency, constructs a methodology to examine time series of technical efficiency indices for cointegration and convergence. A panel of U.S. airlines, observed quarterly between 1970 and 1990, is used as a case study. Cointegration results are suggestive of long-run relationships between carriers; furthermore, convergence tests document less dispersion in firm performance over time. Copyright 2000 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.

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Publisher Info
Article provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.

Volume (Year): 41 (2000)
Issue (Month): 1 (February)
Pages: 203-18
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Handle: RePEc:ier:iecrev:v:41:y:2000:i:1:p:203-18

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  1. Ying Fang & Robin C. Sickles, 2007. "A Dynamic Model of Airline Competition," Review of Network Economics, Concept Economics, vol. 6(3), pages 355-371, September. [Downloadable!]
  2. Jamasb, T. & Pollitt, M.G. & Triebs, T., 2008. "Productivity and Efficiency of US Gas Transmission Companies: A European Regulatory Perspective," Cambridge Working Papers in Economics 0812, Faculty of Economics, University of Cambridge. [Downloadable!]
    Other versions:
  3. Walter Briec & Kristiaan Kerstens, 2005. "Input, Output and Graph Technical Efficiency Measures on Non-Convex FDH Models with Various Scaling Laws: An Integrated Approach Based upon Implicit Enumeration Algorithms," Working Papers 2005-ECO-04, IESEG School of Management. [Downloadable!]
  4. Aguirregabiria, Victor & Ho, Chun-Yu, 2009. "A Dynamic Oligopoly Game of the US Airline Industry: Estimation and Policy Experiments," MPRA Paper 16739, University Library of Munich, Germany. [Downloadable!]
    Other versions:
  5. Byeong U. Park & Robin C Sickles & Léopold Simar, 2002. "Semi parametric efficient estimation of dynamic panel data models," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C6-1, International Conferences on Panel Data. [Downloadable!]
    Other versions:
  6. Alam, Ila M Semenick & Morrison, Andrew R, 2000. "Trade Reform Dynamics and Technical Efficiency: The Peruvian Experience," World Bank Economic Review, Oxford University Press, vol. 14(2), pages 309-30, May. [Downloadable!]
  7. Walter Briec & Kristiaan Kerstens, 2006. "Input, output and graph technical efficiency measures on non-convex FDH models with various scaling laws: An integrated approach based upon implicit enumeration algorithms," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 14(1), pages 135-166, June. [Downloadable!] (restricted)
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