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Vertical Integration in the U.S. Cable Industry

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  • Ayako Suzuki

Abstract

Theory shows that vertical integration has contrasting two effects, efficiency and foreclosure effects. This study empirically estimates the relative size of these two effects. Unlike previous studies, I focus on a single vertical merger in order to use a panel dataset, and estimate its average treatment effects on the several market outcomes. The findings suggest that there was a significant efficiency gain from the merger; the merged systems were found to carry affiliated networks more frequently; there was a larger price decrease in the merged markets. On the other hand, there was weak evidence of foreclosure.

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File URL: http://www.iser.osaka-u.ac.jp/library/dp/2006/DP0675.pdf
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Bibliographic Info

Paper provided by Institute of Social and Economic Research, Osaka University in its series ISER Discussion Paper with number 0675.

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Date of creation: Nov 2006
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Handle: RePEc:dpr:wpaper:0675

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  1. Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
  2. Waterman, David & Weiss, Andrew A., 1996. "The effects of vertical integration between cable television systems and pay cable networks," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 357-395.
  3. Vita, Michael G, 2000. "Regulatory Restrictions on Vertical Integration and Control: The Competitive Impact of Gasoline Divorcement Policies," Journal of Regulatory Economics, Springer, vol. 18(3), pages 217-33, November.
  4. Ordover, Janusz A & Saloner, Garth & Salop, Steven C, 1990. "Equilibrium Vertical Foreclosure," American Economic Review, American Economic Association, vol. 80(1), pages 127-42, March.
  5. Tasneem Chipty, 2001. "Vertical Integration, Market Foreclosure, and Consumer Welfare in the Cable Television Industry," American Economic Review, American Economic Association, vol. 91(3), pages 428-453, June.
  6. Marvel, Howard P, 1982. "Exclusive Dealing," Journal of Law and Economics, University of Chicago Press, vol. 25(1), pages 1-25, April.
  7. Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Wiley Blackwell, vol. 65(2), pages 261-94, April.
  8. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
  9. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
  10. Aghion, Philippe & Bolton, Patrick, 1987. "Contracts as a Barrier to Entry," American Economic Review, American Economic Association, vol. 77(3), pages 388-401, June.
  11. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
  12. Robert A. Moffitt, 2004. "Introduction to the Symposium on the Econometrics of Matching," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 1-3, February.
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