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Retail Power Market Competition with Endogenous Entry Decision-An Auction Data Analysis

Author

Listed:
  • Nobuhiro Hosoe

    (National Graduate Institute for Policy Studies)

  • Shingo Takagi

    (Graduate School of Economics and Business Administration, Hokkaido University)

Abstract

Deregulation in the electric power industry has been aimed at promoting competition and thereby enhancing the industry's efficiency. We use the auction data of public power procurements to study the impact of the reform on the retail power market in Japan. We quantify this impact by measuring a decline in power charges, controlling for the endogeneity bias caused by the entrants' bid-submission decisions. Our results suggest that power charges would decline by about 0.48 yen/kWh on average when two or more providers bid at an auction.

Suggested Citation

  • Nobuhiro Hosoe & Shingo Takagi, 2011. "Retail Power Market Competition with Endogenous Entry Decision-An Auction Data Analysis," GRIPS Discussion Papers 11-01, National Graduate Institute for Policy Studies.
  • Handle: RePEc:ngi:dpaper:11-01
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    References listed on IDEAS

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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492 National Bureau of Economic Research, Inc.
    2. Tong Li & Xiaoyong Zheng, 2009. "Entry and Competition Effects in First-Price Auctions: Theory and Evidence from Procurement Auctions," Review of Economic Studies, Oxford University Press, vol. 76(4), pages 1397-1429.
    3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, January.
    4. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    5. Siddhartha Chib & Ivan Jeliazkov, 2005. "Accept-reject Metropolis-Hastings sampling and marginal likelihood estimation," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 59(1), pages 30-44.
    6. James Heckman & Justin L. Tobias & Edward Vytlacil, 2003. "Simple Estimators for Treatment Parameters in a Latent-Variable Framework," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 748-755, August.
    7. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika van der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639.
    8. Watanabe, Toshiaki, 2001. "On sampling the degree-of-freedom of Student's-t disturbances," Statistics & Probability Letters, Elsevier, vol. 52(2), pages 177-181, April.
    9. Estrella, Arturo, 1998. "A New Measure of Fit for Equations with Dichotomous Dependent Variables," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 198-205, April.
    10. Chib, Siddhartha, 2007. "Analysis of treatment response data without the joint distribution of potential outcomes," Journal of Econometrics, Elsevier, vol. 140(2), pages 401-412, October.
    11. Chib, Siddhartha & Jeliazkov, Ivan, 2006. "Inference in Semiparametric Dynamic Models for Binary Longitudinal Data," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 685-700, June.
    12. Harry J. Paarsch & Han Hong, 2006. "An Introduction to the Structural Econometrics of Auction Data," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262162350, January.
    13. Hattori, Toru, 2010. "Determinants of the number of bidders in the competitive procurement of electricity supply contracts in the Japanese public sector," Energy Economics, Elsevier, vol. 32(6), pages 1299-1305, November.
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    Cited by:

    1. Nakajima, Tadahiro, 2013. "Inefficient and opaque price formation in the Japan Electric Power Exchange," Energy Policy, Elsevier, vol. 55(C), pages 329-334.
    2. Shigeharu Okajima & Hiroko Okajima, 2016. "Impact of environmental regulation and the 2011 earthquake on the Japanese electricity industry," Journal of Regulatory Economics, Springer, vol. 49(2), pages 223-249, April.

    More about this item

    Keywords

    electric power industry; auction data; public procurement; sample selection bias;

    JEL classification:

    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • H57 - Public Economics - - National Government Expenditures and Related Policies - - - Procurement
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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