IDEAS home Printed from https://ideas.repec.org/a/aen/journl/ej39-2-burke.html
   My bibliography  Save this article

The Price Elasticity of Electricity Demand in the United States: A Three-Dimensional Analysis

Author

Listed:
  • Paul J. Burke and Ashani Abayasekara

Abstract

In this paper we employ a dataset of three dimensions - state, sector, and year - to estimate the short- and long-run price elasticities of state-level electricity demand in the United States. Our sample covers the period 2003-2015. We contribute to the literature by employing instrumental variable estimation approaches, using the between estimator, and pursuing panel specifications that enable us to control for multiple dimensions of fixed effects. We conclude that state-level electricity demand is very price inelastic in the short run, with a same-year elasticity of -0.1. The long-run elasticity is near -1, larger than often believed. Among the sectors, it is industry that has the largest long-run price elasticity of demand. This appears to in part be due to electricity-intensive industrial activities clustering in low-price states.

Suggested Citation

  • Paul J. Burke and Ashani Abayasekara, 2018. "The Price Elasticity of Electricity Demand in the United States: A Three-Dimensional Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
  • Handle: RePEc:aen:journl:ej39-2-burke
    as

    Download full text from publisher

    File URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=3055
    Download Restriction: Access to full text is restricted to IAEE members and subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "A meta-analysis on the price elasticity of energy demand," Energy Policy, Elsevier, vol. 102(C), pages 549-568.
    3. Paul J. Burke & Shuhei Nishitateno, 2015. "Gasoline Prices And Road Fatalities: International Evidence," Economic Inquiry, Western Economic Association International, vol. 53(3), pages 1437-1450, July.
    4. William Hauk & Romain Wacziarg, 2009. "A Monte Carlo study of growth regressions," Journal of Economic Growth, Springer, vol. 14(2), pages 103-147, June.
    5. Alberini, Anna & Filippini, Massimo, 2011. "Response of residential electricity demand to price: The effect of measurement error," Energy Economics, Elsevier, vol. 33(5), pages 889-895, September.
    6. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    7. Miller, Mark & Alberini, Anna, 2016. "Sensitivity of price elasticity of demand to aggregation, unobserved heterogeneity, price trends, and price endogeneity: Evidence from U.S. Data," Energy Policy, Elsevier, vol. 97(C), pages 235-249.
    8. Fell, Harrison & Li, Shanjun & Paul, Anthony, 2014. "A new look at residential electricity demand using household expenditure data," International Journal of Industrial Organization, Elsevier, vol. 33(C), pages 37-47.
    9. Baltagi, Badi H & Griffin, James M, 1984. "Short and Long Run Effects in Pooled Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(3), pages 631-645, October.
    10. Edward L. Glaeser & Glenn Ellison, 1999. "The Geographic Concentration of Industry: Does Natural Advantage Explain Agglomeration?," American Economic Review, American Economic Association, vol. 89(2), pages 311-316, May.
    11. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    12. Agustin J. Ros, 2017. "An Econometric Assessment of Electricity Demand in the United States Using Utility-specific Panel Data and the Impact of Retail Competition on Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    13. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014. "Does Education Matter for Economic Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
    14. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    15. Hauk, William R., 2017. "Endogeneity bias and growth regressions," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 143-161.
    16. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413.
    17. 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.
    18. Katrina Jessoe & David Rapson, 2014. "Knowledge Is (Less) Power: Experimental Evidence from Residential Energy Use," American Economic Review, American Economic Association, vol. 104(4), pages 1417-1438, April.
    19. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    20. Havranek, Tomas & Irsova, Zuzana & Janda, Karel, 2012. "Demand for gasoline is more price-inelastic than commonly thought," Energy Economics, Elsevier, vol. 34(1), pages 201-207.
    21. Shin, Jeong-Shik, 1985. "Perception of Price When Price Information Is Costly: Evidence from Residential Electricity Demand," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 591-598, November.
    22. Pirotte, Alain, 1999. "Convergence of the static estimation toward the long run effects of dynamic panel data models," Economics Letters, Elsevier, vol. 63(2), pages 151-158, May.
    23. Robert J. Barro, 2015. "Convergence and Modernisation," Economic Journal, Royal Economic Society, vol. 125(585), pages 911-942, June.
    24. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    25. A. Pirotte, 2003. "Convergence of the static estimation toward the long-run effects of dynamic panel data models: a labour demand illustration," Applied Economics Letters, Taylor & Francis Journals, vol. 10(13), pages 843-847.
    26. Severin Borenstein & James Bushnell, 2015. "The US Electricity Industry After 20 Years of Restructuring," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 437-463, August.
    27. Ma, Chunbo & Stern, David I., 2016. "Long-run estimates of interfuel and interfactor elasticities," Resource and Energy Economics, Elsevier, vol. 46(C), pages 114-130.
    28. Samuel Bazzi & Michael A. Clemens, 2013. "Blunt Instruments: Avoiding Common Pitfalls in Identifying the Causes of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 152-186, April.
    29. Burke, Paul J. & Yang, Hewen, 2016. "The price and income elasticities of natural gas demand: International evidence," Energy Economics, Elsevier, vol. 59(C), pages 466-474.
    30. Stern, David I., 2010. "Between estimates of the emissions-income elasticity," Ecological Economics, Elsevier, vol. 69(11), pages 2173-2182, September.
    31. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    32. Burke, Paul J. & Nishitateno, Shuhei, 2013. "Gasoline prices, gasoline consumption, and new-vehicle fuel economy: Evidence for a large sample of countries," Energy Economics, Elsevier, vol. 36(C), pages 363-370.
    33. Edwards, Ryan B., 2016. "Mining away the Preston curve," World Development, Elsevier, vol. 78(C), pages 22-36.
    34. Kahn, Matthew E. & Mansur, Erin T., 2013. "Do local energy prices and regulation affect the geographic concentration of employment?," Journal of Public Economics, Elsevier, vol. 101(C), pages 105-114.
    35. Hendrik S. Houthakker, 1980. "Residential Electricity Revisited," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    Full references (including those not matched with items on IDEAS)

    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. Csereklyei, Zsuzsanna, 2020. "Price and income elasticities of residential and industrial electricity demand in the European Union," Energy Policy, Elsevier, vol. 137(C).
    2. Burke, Paul J. & Yang, Hewen, 2016. "The price and income elasticities of natural gas demand: International evidence," Energy Economics, Elsevier, vol. 59(C), pages 466-474.
    3. Kostakis, Ioannis & Lolos, Sarantis & Sardianou, Eleni, 2021. "Residential natural gas demand: Assessing the evidence from Greece using pseudo-panels, 2012–2019," Energy Economics, Elsevier, vol. 99(C).
    4. Burke, Paul J. & Csereklyei, Zsuzsanna, 2016. "Understanding the energy-GDP elasticity: A sectoral approach," Energy Economics, Elsevier, vol. 58(C), pages 199-210.
    5. Frondel, Manuel & Kussel, Gerhard & Sommer, Stephan, 2019. "Heterogeneity in the price response of residential electricity demand: A dynamic approach for Germany," Resource and Energy Economics, Elsevier, vol. 57(C), pages 119-134.
    6. Favero, Filippo & Grossi, Luigi, 2023. "Analysis of individual natural gas consumption and price elasticity: Evidence from billing data in Italy," Energy Economics, Elsevier, vol. 118(C).
    7. Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential consumption of gas and electricity in the U.S.: The role of prices and income," Energy Economics, Elsevier, vol. 33(5), pages 870-881, September.
    8. Massimo Filippini & Bettina Hirl & Giuliano Masiero, 2015. "Rational habits in residential electricity demand," IdEP Economic Papers 1506, USI Università della Svizzera italiana.
    9. Alexeev, Michael & Chernyavskiy, Andrey, 2021. "The impact of institutional quality on manufacturing sectors: A panel data analysis," Economic Systems, Elsevier, vol. 45(3).
    10. Filippini, Massimo & Hirl, Bettina & Masiero, Giuliano, 2018. "Habits and rational behaviour in residential electricity demand," Resource and Energy Economics, Elsevier, vol. 52(C), pages 137-152.
    11. Akihiro Otsuka, 2019. "Natural disasters and electricity consumption behavior: a case study of the 2011 Great East Japan Earthquake," Asia-Pacific Journal of Regional Science, Springer, vol. 3(3), pages 887-910, October.
    12. Trotta, Gianluca & Hansen, Anders Rhiger & Sommer, Stephan, 2022. "The price elasticity of residential district heating demand: New evidence from a dynamic panel approach," Energy Economics, Elsevier, vol. 112(C).
    13. Ryu, Jun-Yeol & Kim, Dae-Wook & Kim, Man-Keun, 2021. "Household differentiation and residential electricity demand in Korea," Energy Economics, Elsevier, vol. 95(C).
    14. Arnaud Deseau & Adam Levai & Michèle Schmiegelow, 2019. "Access to Justice and Economic Development: Evidence from an International Panel Dataset," LIDAM Discussion Papers IRES 2019009, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    15. Okajima, Shigeharu & Okajima, Hiroko, 2013. "Estimation of Japanese price elasticities of residential electricity demand, 1990–2007," Energy Economics, Elsevier, vol. 40(C), pages 433-440.
    16. Manuel Frondel and Gerhard Kussel, 2019. "Switching on Electricity Demand Response: Evidence for German Households," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    17. Braunfels, Elias, 2014. "How do Political and Economic Institutions Affect Each Other?," Discussion Paper Series in Economics 19/2014, Norwegian School of Economics, Department of Economics.
    18. Paul J. Burke & Shuhei Nishitateno, 2015. "Gasoline Prices And Road Fatalities: International Evidence," Economic Inquiry, Western Economic Association International, vol. 53(3), pages 1437-1450, July.
    19. Boyoon Chang & Sung Jin Kang & Tae Yong Jung, 2019. "Price and Output Elasticities of Energy Demand for Industrial Sectors in OECD Countries," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
    20. Fendel Tanja, 2016. "Migration and Regional Wage Disparities in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(1), pages 3-35, February.

    More about this item

    JEL classification:

    • F0 - International Economics - - General

    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:aen:journl:ej39-2-burke. 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: David Williams (email available below). General contact details of provider: https://edirc.repec.org/data/iaeeeea.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.