IDEAS home Printed from https://ideas.repec.org/a/bla/jemstr/v26y2017i2p293-317.html
   My bibliography  Save this article

Measuring Consumer Preferences for Video Content Provision via Cord‐Cutting Behavior

Author

Listed:
  • Jeffrey Prince
  • Shane Greenstein

Abstract

The television industry is undergoing a generational shift in structure; however, many demand‐side determinants are still not well understood. We model how consumers choose video content provision among over‐the‐air (OTA), paid subscription to cable or satellite, and online streaming (also known as over‐the‐top, or OTT). We apply our model to a U.S. data set encompassing both the digital switchover for OTA and the emergence of OTT, along with a recession, and use it to analyze cord‐cutting behavior (i.e., dropping of cable/satellite subscriptions). We find high levels of cord cutting during this time, and evidence that it became relatively more prevalent among low‐income and younger households—suggesting this group responded to changes in OTA and streaming options. We find little evidence of households weighing relative content offerings/quality when choosing their means of video provision during the timespan of our data. This last finding has important ramifications for strategic interaction between content providers.

Suggested Citation

  • Jeffrey Prince & Shane Greenstein, 2017. "Measuring Consumer Preferences for Video Content Provision via Cord‐Cutting Behavior," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 26(2), pages 293-317, June.
  • Handle: RePEc:bla:jemstr:v:26:y:2017:i:2:p:293-317
    DOI: 10.1111/jems.12181
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jems.12181
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jems.12181?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
    2. Abel, Jaison R, 2002. "Entry into Regulated Monopoly Markets: The Development of a Competitive Fringe in the Local Telephone Industry," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 289-316, October.
    3. Vogelsang, Ingo, 2010. "The relationship between mobile and fixed-line communications: A survey," Information Economics and Policy, Elsevier, vol. 22(1), pages 4-17, March.
    4. Goldfarb, Avi & Greenstein, Shane M. & Tucker, Catherine E. (ed.), 2015. "Economic Analysis of the Digital Economy," National Bureau of Economic Research Books, University of Chicago Press, number 9780226206981.
    5. Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
    6. Nikolaj Malchow-Møller & James R. Markusen & Bertel Schjerning, 2013. "Foreign Firms, Domestic Wages," Scandinavian Journal of Economics, Wiley Blackwell, vol. 115(2), pages 292-325, April.
    7. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    8. Avi Goldfarb & Shane M. Greenstein & Catherine E. Tucker, 2015. "Economic Analysis of the Digital Economy," NBER Books, National Bureau of Economic Research, Inc, number gree13-1.
    9. 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.
    10. Bulow, Jeremy I & Geanakoplos, John D & Klemperer, Paul D, 1985. "Multimarket Oligopoly: Strategic Substitutes and Complements," Journal of Political Economy, University of Chicago Press, vol. 93(3), pages 488-511, June.
    11. Jeffrey Prince & Shane Greenstein, 2014. "Does Service Bundling Reduce Churn?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(4), pages 839-875, December.
    12. Nakil Sung & Yong-Hun Lee, 2002. "Substitution between Mobile and Fixed Telephones in Korea," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 20(4), pages 367-374, June.
    13. Christopher Swann & David G Loomis, 2005. "Competition in Local Telecommunications," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 40(2), pages 18-28, April.
    14. McKenzie, D.J.David J., 2004. "Asymptotic theory for heterogeneous dynamic pseudo-panels," Journal of Econometrics, Elsevier, vol. 120(2), pages 235-262, June.
    15. Austan Goolsbee & Amil Petrin, 2004. "The Consumer Gains from Direct Broadcast Satellites and the Competition with Cable TV," Econometrica, Econometric Society, vol. 72(2), pages 351-381, March.
    16. Jose Cuesta & Hugo Ñopo & Georgina Pizzolitto, 2011. "Using Pseudo‐Panels To Measure Income Mobility In Latin America," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(2), pages 224-246, June.
    17. Scott Wallsten, 2013. "What Are We Not Doing When We're Online," NBER Working Papers 19549, National Bureau of Economic Research, Inc.
    18. Loomis, David G. & Swann, Christopher M., 2005. "Intermodal competition in local telecommunications markets," Information Economics and Policy, Elsevier, vol. 17(1), pages 97-113, January.
    19. Paul Zimmerman, 2008. "Strategic incentives under vertical integration: the case of wireline-affiliated wireless carriers and intermodal competition in the US," Journal of Regulatory Economics, Springer, vol. 34(3), pages 282-298, December.
    20. Scott Wallsten, 2015. "What Are We Not Doing When We Are Online?," NBER Chapters, in: Economic Analysis of the Digital Economy, pages 55-82, National Bureau of Economic Research, Inc.
    21. Faulhaber, Gerald R., 2003. "Policy-induced competition: the telecommunications experiments," Information Economics and Policy, Elsevier, vol. 15(1), pages 73-97, March.
    22. Dolores Collado, M., 1997. "Estimating dynamic models from time series of independent cross-sections," Journal of Econometrics, Elsevier, vol. 82(1), pages 37-62.
    23. Jeffrey T. Prince, 2008. "Repeat Purchase amid Rapid Quality Improvement: Structural Estimation of Demand for Personal Computers," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 17(1), pages 1-33, March.
    24. Lehr, William H. & Chapin, John M., 2010. "On the convergence of wired and wireless access network architectures," Information Economics and Policy, Elsevier, vol. 22(1), pages 33-41, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. McKenzie, Jordi & Crosby, Paul & Cox, Joe & Collins, Alan, 2019. "Experimental evidence on demand for “on-demand” entertainment," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 98-113.
    2. Bhubaneswari Bisoyi & Vivek Mishra & Biswajit Das & Ipseeta Satpathy, 2024. "Role of E-Business Driven OTT Platforms in Influencing Consumer’s Intention to Cut the Cable Cord," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 49(1), pages 82-96, February.
    3. Oliver Budzinski & Sophia Gaenssle & Nadine Lindstädt-Dreusicke, 2021. "The battle of YouTube, TV and Netflix: an empirical analysis of competition in audiovisual media markets," SN Business & Economics, Springer, vol. 1(9), pages 1-26, September.
    4. Agarwal, Reeti & Mehrotra, Ankit & Sharma, Veenu & Papa, Armando & Malibari, Areej, 2023. "Over-the-top (OTT) retailing in the post pandemic world. Unveiling consumer drivers and barriers using a qualitative study," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    5. Jung, Juan & Melguizo, Ángel, 2023. "Is your netflix a substitute for your telefunken? Evidence on the dynamics of traditional pay TV and OTT in Latin America," Telecommunications Policy, Elsevier, vol. 47(1).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeffrey Prince & Shane Greenstein, 2014. "Does Service Bundling Reduce Churn?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(4), pages 839-875, December.
    2. Rumman Khan, 2021. "Assessing Sampling Error in Pseudo‐Panel Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 742-769, June.
    3. Ortiz, Rodrigo & Fernandez, Viviana, 2022. "Business perception of obstacles to innovate: Evidence from Chile with pseudo-panel data analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    4. Jose Cuesta & Hugo Ñopo & Georgina Pizzolitto, 2011. "Using Pseudo‐Panels To Measure Income Mobility In Latin America," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(2), pages 224-246, June.
    5. Luis Casanova, 2008. "Trampas de Pobreza en Argentina: Evidencia Empírica a Partir de un Pseudo Panel," CEDLAS, Working Papers 0064, CEDLAS, Universidad Nacional de La Plata.
    6. Francisca Antman & David J. McKenzie, 2007. "Earnings Mobility and Measurement Error: A Pseudo-Panel Approach," Economic Development and Cultural Change, University of Chicago Press, vol. 56(1), pages 125-161, October.
    7. Inoue, Atsushi, 2008. "Efficient estimation and inference in linear pseudo-panel data models," Journal of Econometrics, Elsevier, vol. 142(1), pages 449-466, January.
    8. Chiara Comolli & Fabrizio Bernardi, 2015. "The causal effect of the great recession on childlessness of white American women," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-24, December.
    9. World Bank, 2016. "Tunisia Poverty Assessment 2015," World Bank Publications - Reports 24410, The World Bank Group.
    10. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.
    11. Hugo Ñopo & Giorgina Pizzolitto & José Cuesta, 2007. "Usando pseudopaneles para medir la movilidad del ingreso en América," Research Department Publications 4558, Inter-American Development Bank, Research Department.
    12. Rosati, Nicoletta, 2013. "Efficiency of repeated-cross-section estimators in fixed-effects models," Statistics & Probability Letters, Elsevier, vol. 83(7), pages 1770-1775.
    13. Xavier d'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear difference-in-differences in repeated cross sections with continuous treatments," CeMMAP working papers CWP40/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Frethey-Bentham, Catherine, 2011. "Pseudo panels as an alternative study design," Australasian marketing journal, Elsevier, vol. 19(4), pages 281-292.
    15. Mora, Jhon James & Muro, Juan, 2014. "Consistent estimation in pseudo panels in the presence of selection bias," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-25.
    16. Balcazar Salazar,Carlos Felipe, 2015. "Long-run effects of democracy on income inequality : evidence from repeated cross-sections," Policy Research Working Paper Series 7153, The World Bank.
    17. Daniel Bukstein & Nestor Gandelman, 2014. "Intra-Generational Social Mobility and Entrepreneurship in Uruguay," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 51(2), pages 227-245, November.
    18. Tiziana Laureti, 2014. "Life satisfaction and environmental conditions in Italy: a pseudo-panel approach," Discussion Papers 2014/192, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    19. Francisca Antman & David McKenzie, 2007. "Poverty traps and nonlinear income dynamics with measurement error and individual heterogeneity," Journal of Development Studies, Taylor & Francis Journals, vol. 43(6), pages 1057-1083.
    20. Tamvada, Jagannadha Pawan, 2010. "The Dynamics of Self-employment in a Developing Country: Evidence from India," MPRA Paper 20042, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jemstr:v:26:y:2017:i:2:p:293-317. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.kellogg.northwestern.edu/research/journals/JEMS/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.