IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/33291.html
   My bibliography  Save this paper

Short run and long run dynamics of residential electricity consumption: Homogeneous and heterogeneous panel estimations for OECD

Author

Listed:
  • Bilgili, Faik
  • Pamuk, Yalçın
  • Halıcı Tülüce, Nadide Sevil

Abstract

The purpose of this paper is to reveal the short run and long run dynamics of residential electricity consumption for 11 OECD countries within annual period 1979-2006. To this end, this paper first explores the findings from related literature evidence and, later, follows panel cointegration equations (CEs) and panel error correction models (ECMs). CEs give long run relations of the variables in residential electricity demand function. ECMs include both long run and short run parameter estimates of the per capita residential electricity demand in terms of residential electricity price, residential light fuel oil price, residential natural gas price and per capita income. For both ECs and ECMs, the techniques of panel OLS, panel adjusted OLS and panel dynamic OLS are utilized. Finally, this paper yields short term and long term elasticities of residential electricity consumption together with error correction terms through homogeneous and heterogeneous variance structures.

Suggested Citation

  • Bilgili, Faik & Pamuk, Yalçın & Halıcı Tülüce, Nadide Sevil, 2010. "Short run and long run dynamics of residential electricity consumption: Homogeneous and heterogeneous panel estimations for OECD," MPRA Paper 33291, University Library of Munich, Germany, revised Jun 2011.
    • Handle: RePEc:pra:mprapa:33291
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/33291/1/MPRA_paper_33291.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    3. Nakajima, Tadahiro & Hamori, Shigeyuki, 2010. "Change in consumer sensitivity to electricity prices in response to retail deregulation: A panel empirical analysis of the residential demand for electricity in the United States," Energy Policy, Elsevier, vol. 38(5), pages 2470-2476, May.
    4. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    5. Sa'ad, Suleiman, 2009. "Electricity demand for South Korean residential sector," Energy Policy, Elsevier, vol. 37(12), pages 5469-5474, December.
    6. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    7. Dergiades, Theologos & Tsoulfidis, Lefteris, 2008. "Estimating residential demand for electricity in the United States, 1965-2006," Energy Economics, Elsevier, vol. 30(5), pages 2722-2730, September.
    8. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    9. Narayan, Paresh Kumar & Smyth, Russell & Prasad, Arti, 2007. "Electricity consumption in G7 countries: A panel cointegration analysis of residential demand elasticities," Energy Policy, Elsevier, vol. 35(9), pages 4485-4494, September.
    10. Hondroyiannis, George, 2004. "Estimating residential demand for electricity in Greece," Energy Economics, Elsevier, vol. 26(3), pages 319-334, May.
    11. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    12. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    13. Athukorala, P.P.A Wasantha & Wilson, Clevo, 2010. "Estimating short and long-term residential demand for electricity: New evidence from Sri Lanka," Energy Economics, Elsevier, vol. 32(Supplemen), pages 34-40, September.
    14. Filippini, Massimo & Pachauri, Shonali, 2004. "Elasticities of electricity demand in urban Indian households," Energy Policy, Elsevier, vol. 32(3), pages 429-436, February.
    15. Inglesi, Roula, 2010. "Aggregate electricity demand in South Africa: Conditional forecasts to 2030," Applied Energy, Elsevier, vol. 87(1), pages 197-204, January.
    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. Wang, Zhaohua & Lu, Milin & Wang, Jian-Cai, 2014. "Direct rebound effect on urban residential electricity use: An empirical study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 124-132.
    2. Liddle, Brantley & Huntington, Hillard, 2021. "How prices, income, and weather shape household electricity demand in high-income and middle-income countries," Energy Economics, Elsevier, vol. 95(C).

    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. Bernstein, Ronald & Madlener, Reinhard, 2011. "Responsiveness of Residential Electricity Demand in OECD Countries: A Panel Cointegation and Causality Analysis," FCN Working Papers 8/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    2. Khan, Muhammad Arshad & Abbas, Faisal, 2016. "The dynamics of electricity demand in Pakistan: A panel cointegration analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1159-1178.
    3. Robertson, Raymond & Kumar, Anil & Dutkowsky, Donald H., 2014. "Weak-form and strong-form purchasing power parity between the US and Mexico: A panel cointegration investigation," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 241-262.
    4. Pedro Teles & Harald Uhlig & João Valle e Azevedo, 2016. "Is Quantity Theory Still Alive?," Economic Journal, Royal Economic Society, vol. 126(591), pages 442-464, March.
    5. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    6. Kul Luintel & Mosahid Khan & Konstantinos Theodoridis, 2014. "On the robustness of R&D," Journal of Productivity Analysis, Springer, vol. 42(2), pages 137-155, October.
    7. Luisanna Onnis & Patrizio Tirelli, 2010. "Challenging the popular wisdom. New estimates of the unobserved economy," Working Papers 184, University of Milano-Bicocca, Department of Economics, revised Apr 2010.
    8. Sun, Chuanwang & Lin, Boqiang, 2013. "Reforming residential electricity tariff in China: Block tariffs pricing approach," Energy Policy, Elsevier, vol. 60(C), pages 741-752.
    9. Chaido Dritsaki & Melina Dritsaki, 2014. "Causal Relationship between Energy Consumption, Economic Growth and CO2 Emissions: A Dynamic Panel Data Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 125-136.
    10. Nguyen, Kim Hanh & Kakinaka, Makoto, 2019. "Renewable energy consumption, carbon emissions, and development stages: Some evidence from panel cointegration analysis," Renewable Energy, Elsevier, vol. 132(C), pages 1049-1057.
    11. Evan Lau & Xiao-Hui Chye & Chee-Keong Choong, 2011. "Energy-Growth Causality: Asian Countries Revisited," International Journal of Energy Economics and Policy, Econjournals, vol. 1(4), pages 140-149.
    12. Mosahid Khan & Kul B. Luintel & Konstantinos Theodoris, 2010. "How Robust is the R&D – Productivity relationship? Evidence from OECD Countries," WIPO Economic Research Working Papers 01, World Intellectual Property Organization - Economics and Statistics Division, revised Dec 2010.
    13. Jorge Carrera & Romain Restout, 2008. "Long Run Determinants of Real Exchange Rates in Latin America," Post-Print halshs-00276402, HAL.
    14. Abdul Rauf & Ilhan Ozturk & Fayyaz Ahmad & Khurram Shehzad & Abbas Ali Chandiao & Muhammad Irfan & Saira Abid & Li Jinkai, 2021. "Do Tourism Development, Energy Consumption and Transportation Demolish Sustainable Environments? Evidence from Chinese Provinces," Sustainability, MDPI, vol. 13(22), pages 1-23, November.
    15. repec:wip:wpaper:1 is not listed on IDEAS
    16. Melina Dritsaki & Chaido Dritsaki, 2012. "A panel data approach to the demand for money in Bulgaria and Romania," Applied Economics Letters, Taylor & Francis Journals, vol. 19(8), pages 705-710, May.
    17. Sahbi FARHANI & Jaleleddine BEN REJEB, 2015. "Link between Economic Growth and Energy Consumption in Over 90 Countries," Working Papers 2015-614, Department of Research, Ipag Business School.
    18. Kahia, Montassar & Ben Aïssa, Mohamed Safouane & Charfeddine, Lanouar, 2016. "Impact of renewable and non-renewable energy consumption on economic growth: New evidence from the MENA Net Oil Exporting Countries (NOECs)," Energy, Elsevier, vol. 116(P1), pages 102-115.
    19. João Valle e Azevedo & João Ritto & Pedro Teles, 2022. "The Neutrality Of Nominal Rates: How Long Is The Long Run?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1745-1777, November.
    20. Martin Wagner & Jaroslava Hlouskova, 2010. "The Performance of Panel Cointegration Methods: Results from a Large Scale Simulation Study," Econometric Reviews, Taylor & Francis Journals, vol. 29(2), pages 182-223, April.
    21. Ozturk, Ilhan & Bilgili, Faik, 2015. "Economic growth and biomass consumption nexus: Dynamic panel analysis for Sub-Sahara African countries," Applied Energy, Elsevier, vol. 137(C), pages 110-116.

    More about this item

    Keywords

    electricity consumption; elasticities; homogeneous and heterogeneous variance structures; panel error correction model; panel dynamic ordinary least squares;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    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:pra:mprapa:33291. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.