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An econometric assessment of telecommunications prices and consumer surplus in Mexico using panel data

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  • Jerry Hausman
  • Agustin Ros

Abstract

We analyze telecommunications prices in Mexico by using a panel data of countries similar to Mexico to estimate demand models for mobile and fixed-line telecommunications. We find that Mexico’s actual mobile and fixed-line prices are below the predicted prices based on similar countries’ prices. Mexican consumers are paying lower prices than what one would expect based on comparisons of comparable countries. We calculate that in 2011 Mexican consumers received at least $4–$5 billion (USD) in consumer surplus from these lower mobile prices and in 2010 they received over $1 billion (USD) in consumer surplus from these lower fixed-line prices. These findings are in contrast to the general perception that concentrated telecommunications markets in Mexico are resulting in high prices and harming consumers. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Jerry Hausman & Agustin Ros, 2013. "An econometric assessment of telecommunications prices and consumer surplus in Mexico using panel data," Journal of Regulatory Economics, Springer, vol. 43(3), pages 284-304, June.
  • Handle: RePEc:kap:regeco:v:43:y:2013:i:3:p:284-304
    DOI: 10.1007/s11149-013-9212-0
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    References listed on IDEAS

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    1. repec:pri:rpdevs:deaton_price_indexes_inequality_and_the_measurement_of_world_poverty_aer. is not listed on IDEAS
    2. Madden, Gary & Coble-Neal, Grant & Dalzell, Brian, 2004. "A dynamic model of mobile telephony subscription incorporating a network effect," Telecommunications Policy, Elsevier, vol. 28(2), pages 133-144, March.
    3. Jerry Hausman & Gregory Leonard & J. Douglas Zona, 1994. "Competitive Analysis with Differentiated Products," Annals of Economics and Statistics, GENES, issue 34, pages 143-157.
    4. repec:adr:anecst:y:1994:i:34:p:06 is not listed on IDEAS
    5. repec:bla:jindec:v:50:y:2002:i:3:p:237-63 is not listed on IDEAS
    6. Angus Deaton, 2010. "Price Indexes, Inequality, and the Measurement of World Poverty," American Economic Review, American Economic Association, vol. 100(1), pages 5-34, March.
    7. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    8. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    9. Hausman, Jerry A., 1977. "Errors in variables in simultaneous equation models," Journal of Econometrics, Elsevier, vol. 5(3), pages 389-401, May.
    10. Karacuka, Mehmet & Haucap, Justus & Heimeshoff, Ulrich, 2011. "Competition in Turkish mobile telecommunications markets: Price elasticities and network substitution," Telecommunications Policy, Elsevier, vol. 35(2), pages 202-210, March.
    11. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    12. repec:pri:rpdevs:presidential%20address%2017january%202010%20all is not listed on IDEAS
    13. Jerry A Hausman & Gregory K Leonard, 2002. "The Competitive Effects of a New Product Introduction: A Case Study," Journal of Industrial Economics, Wiley Blackwell, vol. 50(3), pages 237-263, September.
    14. Garbacz, Christopher & Thompson Jr, Herbert G., 2007. "Demand for telecommunication services in developing countries," Telecommunications Policy, Elsevier, vol. 31(5), pages 276-289, June.
    15. Hee Lee, Duk & Hee Lee, Dong, 0. "Estimating consumer surplus in the mobile telecommunications market: The case of Korea," Telecommunications Policy, Elsevier, vol. 30(10-11), pages 605-621, November.
    16. repec:pri:rpdevs:presidential%20address%2017january%202010%20all.pdf is not listed on IDEAS
    17. Marta Stryszowska, 2012. "Estimation of Loss in Consumer Surplus Resulting from Excessive Pricing of Telecommunication Services in Mexico," OECD Digital Economy Papers 191, OECD Publishing.
    18. Peter Kennedy, 2003. "A Guide to Econometrics, 5th Edition," MIT Press Books, The MIT Press, edition 5, volume 1, number 026261183x, April.
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    More about this item

    Keywords

    Telecommunications demand; Econometric demand model ; Consumer surplus; Mexico; C33; C36; L51; L96;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

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