IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v25y2004i1p1-17.html
   My bibliography  Save this article

The Effects of Information on Residential Demand for Electricity

Author

Listed:
  • Isamu Matsukawa

Abstract

This paper measures the effects of information on residential demand for electricity, using data from a Japanese experiment. In the experiment, households had a continuous-display, electricity use monitoring device installed at their residence. The monitor was designed so that each consumer could easily look at graphs and tables associated with the consumer’s own usage of electricity at any time during the experiment. The panel data were used to estimate a random effects model of electricity and count data models of monitor usage. The results indicate that monitor usage contributed to energy conservation.

Suggested Citation

  • Isamu Matsukawa, 2004. "The Effects of Information on Residential Demand for Electricity," The Energy Journal, , vol. 25(1), pages 1-17, January.
    • Handle: RePEc:sae:enejou:v:25:y:2004:i:1:p:1-17
    DOI: 10.5547/ISSN0195-6574-EJ-Vol25-No1-1
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/ISSN0195-6574-EJ-Vol25-No1-1
    Download Restriction: no
    File URL: https://libkey.io/10.5547/ISSN0195-6574-EJ-Vol25-No1-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Donald S. Kenkel & Joseph V. Terza, 2001. "The effect of physician advice on alcohol consumption: count regression with an endogenous treatment effect," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(2), pages 165-184.
    2. Richard J. Sexton & Terri A. Sexton & Joyce Jong-Wen Wann & Catherine L. Kling, 1989. "The Conservation and Welfare Effects of Information in a Time-of-Day Pricing Experiment," Land Economics, University of Wisconsin Press, vol. 65(3), pages 272-279.
    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. repec:ebl:ecbull:v:3:y:2008:i:42:p:1-13 is not listed on IDEAS
    2. Marjon Pol & Deirdre Hennessy & Braden Manns, 2017. "The role of time and risk preferences in adherence to physician advice on health behavior change," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(3), pages 373-386, April.
    3. Massimiliano Bratti & Alfonso Miranda, 2010. "Non‐pecuniary returns to higher education: the effect on smoking intensity in the UK," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 906-920, August.
    4. Massimiliano Bratti & Alfonso Miranda, 2010. "Endogenous Treatment Effects for Count Data Models with Sample Selection or Endogenous Participation," DoQSS Working Papers 10-05, Quantitative Social Science - UCL Social Research Institute, University College London, revised 10 Dec 2010.
    5. DeGraff, Deborah S. & Wong, Rebeca, 2014. "Modeling old-age wealth with endogenous early-life outcomes: The case of Mexico," The Journal of the Economics of Ageing, Elsevier, vol. 3(C), pages 58-70.
    6. Masuhara, Hiroaki, 2013. "Semiparametric duration analysis with an endogenous binary variable: An application to hospital stays," CIS Discussion paper series 597, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    7. Christian Volpe Martincus & Jerónimo Carballo, 2010. "Entering new country and product markets: does export promotion help?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(3), pages 437-467, September.
    8. López Nicolás, Ángel & Vera-Hernández, Marcos, 2008. "Are tax subsidies for private medical insurance self-financing? Evidence from a microsimulation model," Journal of Health Economics, Elsevier, vol. 27(5), pages 1285-1298, September.
    9. Maksym, Obrizan, 2010. "A Bayesian Model of Sample Selection with a Discrete Outcome Variable," MPRA Paper 28577, University Library of Munich, Germany.
    10. Lynham, John & Nitta, Kohei & Saijo, Tatsuyoshi & Tarui, Nori, 2016. "Why does real-time information reduce energy consumption?," Energy Economics, Elsevier, vol. 54(C), pages 173-181.
    11. Massimiliano Bratti & Alfonso Miranda, 2011. "Endogenous treatment effects for count data models with endogenous participation or sample selection," Health Economics, John Wiley & Sons, Ltd., vol. 20(9), pages 1090-1109, September.
    12. Sodero, Annibal C. & Namin, Aidin & Gauri, Dinesh K. & Bhaskaran, Sreekumar R., 2021. "The strategic drivers of drop-shipping and retail store sales for seasonal products," Journal of Retailing, Elsevier, vol. 97(4), pages 561-581.
    13. Alfonso Miranda & Sophia Rabe-Hesketh, 2006. "Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables," Stata Journal, StataCorp LP, vol. 6(3), pages 285-308, September.
    14. Andrés Romeu & Marcos Vera-Hernández, 2005. "Counts with an endogenous binary regressor: A series expansion approach," Econometrics Journal, Royal Economic Society, vol. 8(1), pages 1-22, March.
    15. Canta Chiara & Dubois Pierre, 2015. "Smoking within the Household: Spousal Peer Effects and Children’s Health Implications," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 15(4), pages 1939-1973, October.
    16. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    17. Stephen Pudney, 2004. "Keeping off the grass? An econometric model of cannabis consumption in Britain," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 435-453.
    18. Naoto Jinji & Xingyuan Zhang & Shoji Haruna, 2022. "Deep Integration, Global Firms, and Technology Spillovers," Advances in Japanese Business and Economics, Springer, number 978-981-16-5210-3, June.
    19. Fabrice Etilé, 2006. "Who does the hat fit? Teenager heterogeneity and the effectiveness of information policies in preventing cannabis use and heavy drinking," Health Economics, John Wiley & Sons, Ltd., vol. 15(7), pages 697-718, July.
    20. Isamu Matsukawa, 2005. "The Benefits of Information on the Efficient Usage of Consumer Durables," Others 0501005, University Library of Munich, Germany.
    21. Berning, Joshua, 2015. "The role of physicians in promoting weight loss," Economics & Human Biology, Elsevier, vol. 17(C), pages 104-115.

    More about this item

    Keywords

    Residential electricity demand; Japan; electricity prices; usage monitor; information;
    All these keywords.

    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:sae:enejou:v:25:y:2004:i:1:p:1-17. 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: SAGE Publications (email available below). General contact details of provider: .

    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.