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Market Consolidation and Productivity Growth in U.S. Wireline Telecommunications: Stochastic Frontier Analysis vs. Malmquist Index

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  • Daigyo Seo
  • Allen Featherstone
  • Dennis Weisman
  • Yuan Gao

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  • Daigyo Seo & Allen Featherstone & Dennis Weisman & Yuan Gao, 2010. "Market Consolidation and Productivity Growth in U.S. Wireline Telecommunications: Stochastic Frontier Analysis vs. Malmquist Index," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 36(3), pages 271-294, May.
    • Handle: RePEc:kap:revind:v:36:y:2010:i:3:p:271-294
    DOI: 10.1007/s11151-010-9245-9
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    1. Laitinen, Kenneth, 1978. "Why is demand homogeneity so often rejected?," Economics Letters, Elsevier, vol. 1(3), pages 187-191.
    2. Majumdar, Sumit K, 1997. "Incentive Regulation and Productive Efficiency in the U.S. Telecommunications Industry," The Journal of Business, University of Chicago Press, vol. 70(4), pages 547-576, October.
    3. Catherine J. Morrison Paul & Warren E. Johnston & Gerald A. G. Frengley, 2000. "Efficiency in New Zealand Sheep and Beef Farming: The Impacts of Regulatory Reform," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 325-337, May.
    4. Sangho Kim & Gwangho Han, 2001. "A Decomposition of Total Factor Productivity Growth in Korean Manufacturing Industries: A Stochastic Frontier Approach," Journal of Productivity Analysis, Springer, vol. 16(3), pages 269-281, November.
    5. Dale W. Jorgenson, 2001. "Information Technology and the U.S. Economy," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 5(1), pages 3-34.
    6. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    7. John Bitzan & Wesley Wilson, 2007. "Industry costs and consolidation: efficiency gains and mergers in the U.S. railroad industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 30(2), pages 81-105, March.
    8. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    9. Noel D. Uri, 2002. "Measuring the change in productive efficiency in telecommunications in the USA," Journal of Economic Studies, Emerald Group Publishing, vol. 29(2), pages 151-167, May.
    10. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455.
    11. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    12. Timothy J. Tardiff & Dennis L. Weisman, 2009. "The Dominant Firm Revisited," Journal of Competition Law and Economics, Oxford University Press, vol. 5(3), pages 517-536.
    13. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    14. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Citations

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    Cited by:

    1. Moreno, Plácido & Lozano, Sebastián & Gutiérrez, Ester, 2013. "Dynamic performance analysis of U.S. wireline telecommunication companies," Telecommunications Policy, Elsevier, vol. 37(6), pages 469-482.
    2. Subal Kumbhakar & Sjur Baardsen & Gudbrand Lien, 2012. "A New Method for Estimating Market Power with an Application to Norwegian Sawmilling," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 40(2), pages 109-129, March.
    3. Arazmuradov, Annageldy & Martini, Gianmaria & Scotti, Davide, 2014. "Determinants of total factor productivity in former Soviet Union economies: A stochastic frontier approach," Economic Systems, Elsevier, vol. 38(1), pages 115-135.
    4. Huh, Kwang-Sook, 2015. "The performances of acquired firms in the steel industry: Do financial institutions cause bubbles?," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 143-153.
    5. Wendong Lv & Xiaoxin Hong & Kuangnan Fang, 2015. "Chinese regional energy efficiency change and its determinants analysis: Malmquist index and Tobit model," Annals of Operations Research, Springer, vol. 228(1), pages 9-22, May.

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    More about this item

    Keywords

    Malmquist index; Productivity growth; Stochastic frontier model; D24; L59; L96;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L59 - Industrial Organization - - Regulation and Industrial Policy - - - Other
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

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