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Rational habits in residential electricity demand

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  • Massimo Filippini

    (Institute of Economics (IdEP), University of Lugano; Department of Management, Technology and Economics, ETH Zurich, Switzerland)

  • Bettina Hirl

    () (Institute of Economics (IdEP), University of Lugano, Switzerland)

  • Giuliano Masiero

    (Department of Management, Information and Production Engineering (DIGIP), University of Bergamo, Italy; Institute of Economics (IdEP), University of Lugano, Switzerland)

Abstract

Dynamic partial adjustment models of residential electricity demand account for the fact that households may not adjust electricity consumption immediately in response to changes in prices, income, and other relevant factors, because of behavioral habits or adjustment costs for the capital stock of appliances. However, forward-looking behavior is generally neglected. Expectations about future prices or consumption may have an impact on current decisions. In this paper we propose rational habit models for residential electricity demand and apply them to a panel of 48 US states between 1995 and 2011. We estimate lead consumption models using fixed effects, instrumental variables, and the GMM Blundell-Bond estimator. We find that expectations about future consumption significantly influence current consumption decisions, which suggests that households behave rationally when making electricity consumption decisions. This novel approach may improve our understanding of the dynamics of residential electricity demand and the evaluation of the effects of energy policies.

Suggested Citation

  • Massimo Filippini & Bettina Hirl & Giuliano Masiero, 2015. "Rational habits in residential electricity demand," IdEP Economic Papers 1506, USI Università della Svizzera italiana.
  • Handle: RePEc:lug:wpidep:1506
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Tatyana Deryugina & Alexander MacKay & Julian Reif, 2017. "The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation," NBER Working Papers 23483, National Bureau of Economic Research, Inc.
    2. Ben Gilbert & Joshua S. Graff Zivin, 2018. "Dynamic Corrective Taxes with Time-Varying Salience," NBER Working Papers 25014, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Residential electricity; Partial adjustment models; Dynamic panel data models; Rational habits;

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • D99 - Microeconomics - - Micro-Based Behavioral Economics - - - Other
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General

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