IDEAS home Printed from https://ideas.repec.org/p/gmf/wpaper/2014-13..html
   My bibliography  Save this paper

Drivers for Household Electricity Prices in the EU: A System-GMM Panel Data Approach

Author

Listed:
  • Patrícia Pereira da Silva

    (Faculty of Economics, University of Coimbra and INESC Coimbra, Portugal)

  • Pedro Cerqueira

    () (Faculty of Economics, University of Coimbra and GEMF, Portugal)

Abstract

Electricity as well as gas or refined petroleum products exemplify a significant part of the consumer basket of European households and companies. As energy products are important inputs of nearly all final goods and services, any change of energy prices has a direct impact of the general price level. In this context, the main purpose of this study is to assess the main drivers of household electricity prices in the European Union (EU), throughout a period of deep sector transformation. Relying on Eurostat up to date data, not only we analyze the long-term evolution of household electricity prices across the EU, but also we provide the latest empirical evidence on their determinants while confronting the results with the EU energy policy path. For this purpose a new approach is herein developed based on a dynamic model with panel data through GMM proposal method by Blundell and Bond (1998) with the Windermeijer correction (2005). The data analysis provides grounds for a relation between the variable of household electricity prices with variables related to sector liberalization, renewable energy sources which support the EU policy to boost liberalization. This study offers evidence that the sector liberalization, herein assumed via the market share of the largest electricity producer, is accompanied by a decreasing trend in prices, which is consistent with the European Commission’s objectives to liberalize.

Suggested Citation

  • Patrícia Pereira da Silva & Pedro Cerqueira, 2014. "Drivers for Household Electricity Prices in the EU: A System-GMM Panel Data Approach," GEMF Working Papers 2014-13, GEMF, Faculty of Economics, University of Coimbra.
  • Handle: RePEc:gmf:wpaper:2014-13.
    as

    Download full text from publisher

    File URL: http://www.uc.pt/feuc/gemf/working_papers/pdf/2014/gemf_2014-13
    Download Restriction: no

    References listed on IDEAS

    as
    1. Hattori, Toru & Tsutsui, Miki, 2004. "Economic impact of regulatory reforms in the electricity supply industry: a panel data analysis for OECD countries," Energy Policy, Elsevier, vol. 32(6), pages 823-832, April.
    2. Amorim, F. & Vasconcelos, J. & Abreu, I.C. & Silva, P.P. & Martins, V., 2013. "How much room for a competitive electricity generation market in Portugal?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 103-118.
    3. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    4. Pollitt, Michael, 2009. "Evaluating the evidence on electricity reform: Lessons for the South East Europe (SEE) market," Utilities Policy, Elsevier, vol. 17(1), pages 13-23, March.
    5. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    6. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    7. Faye Steiner, 2003. "Regulation, industry structure and performance in the electricity supply industry," OECD Economic Studies, OECD Publishing, vol. 2001(1), pages 143-182.
    8. Fiorio, Carlo V. & Florio, Massimo, 2011. "«Would you say that the price you pay for electricity is fair?» Consumers' satisfaction and utility reforms in the EU15," Energy Economics, Elsevier, vol. 33(2), pages 178-187, March.
    9. Nagayama, Hiroaki, 2007. "Effects of regulatory reforms in the electricity supply industry on electricity prices in developing countries," Energy Policy, Elsevier, vol. 35(6), pages 3440-3462, June.
    10. Paul L. Joskow, 2008. "Lessons Learned from Electricity Market Liberalization," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 9-42.
    11. Nagayama, Hiroaki, 2009. "Electric power sector reform liberalization models and electric power prices in developing countries: An empirical analysis using international panel data," Energy Economics, Elsevier, vol. 31(3), pages 463-472, May.
    12. Jamasb, T. & Newbery, D. & Pollitt, M., 2004. "'Core Indicators for Determinants and Performance of Electricity Sector in Developing Countries’," Cambridge Working Papers in Economics 0438, Faculty of Economics, University of Cambridge.
    13. Carlos J. Pereira Freitas & Patrícia Pereira Da Silva, 2013. "Evaluation of dynamic pass-through of carbon prices into electricity prices - a cointegrated VECM analysis," International Journal of Public Policy, Inderscience Enterprises Ltd, vol. 9(1/2), pages 65-85.
    14. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    household electricity prices; market reform; system-GMM panel data model.;

    JEL classification:

    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:gmf:wpaper:2014-13.. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ana Seiça). General contact details of provider: http://edirc.repec.org/data/cebucpt.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.