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Telecommunications Regulation and New Services: A Case Study at the State Level

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  • Prieger, James E

Abstract

This study introduces methodology to quantify the effects that regulation has on the innovation and the introduction of new products, and compares state-regulated services in Indiana under rate of return regulation (RoRR) and under alternative regulation. The econometric model comprises a count process (for innovation) followed by a duration process with selection (for regulatory delay). When the firm is released from RoRR, the rate of service creation triples and expected approval delays nearly disappear. The firm may have introduced up to 12 times as many services to consumers if the alternative regulation had been in place the entire time. Copyright 2001 by Kluwer Academic Publishers

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  • Prieger, James E, 2001. "Telecommunications Regulation and New Services: A Case Study at the State Level," Journal of Regulatory Economics, Springer, vol. 20(3), pages 285-305, November.
    • Handle: RePEc:kap:regeco:v:20:y:2001:i:3:p:285-305
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    1. Greenstein, Shane & McMaster, Susan & Spiller, Pablo T, 1995. "The Effect of Incentive Regulation on Infrastructure Modernization: Local Exchange Companies' Deployment of Digital Technology," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 4(2), pages 187-236, Summer.
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    5. Quandt, Richard E., 1983. "Computational problems and methods," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 12, pages 699-764, Elsevier.
    6. Ai, Chunrong & Sappington, David E M, 2002. "The Impact of State Incentive Regulation on the U.S. Telecommunications Industry," Journal of Regulatory Economics, Springer, vol. 22(2), pages 133-159, September.
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    Cited by:

    1. James E. Prieger, 2005. "Endogenous Regulatory Delay and the Timing of Product Innovation," Working Papers 54, University of California, Davis, Department of Economics.
    2. James E. Prieger, 2005. "Endogenous Regulatory Delay and the Timing of Product Innovation," Working Papers 86, University of California, Davis, Department of Economics.
    3. Prieger, James E., 2007. "Regulatory delay and the timing of product innovation," International Journal of Industrial Organization, Elsevier, vol. 25(2), pages 219-236, April.
    4. James E. Prieger, 2005. "Estimation of a Simple Queuing System WithUnits-in-Service and Complete Data," Working Papers 37, University of California, Davis, Department of Economics.
    5. James E. Prieger, 2004. "The Impacts of the Americans with Disabilities Act on the Entry and Exit of Retail Firms," Econometric Society 2004 North American Winter Meetings 589, Econometric Society.
    6. Torsten J. Gerpott, 2006. "Innovationen und Regulierung in der Telekommunikationswirtschaft," Schmalenbach Journal of Business Research, Springer, vol. 58(54), pages 133-153, January.
    7. Mark Frank, 2003. "An Empirical Analysis of Electricity Regulation on Technical Change in Texas," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 22(4), pages 313-331, June.
    8. Bauer, Johannes M. & Shim, Woohyun, 2012. "Regulation and digital innovation: Theory and evidence," 23rd European Regional ITS Conference, Vienna 2012 60364, International Telecommunications Society (ITS).
    9. James E. Prieger, 2005. "Estimation of a Simple Queuing System WithUnits-in-Service and Complete Data," Working Papers 535, University of California, Davis, Department of Economics.
    10. James Prieger, 2008. "Product innovation, signaling, and endogenous regulatory delay," Journal of Regulatory Economics, Springer, vol. 34(2), pages 95-118, October.

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    More about this item

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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