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Household responses to winter heating costs: Implications for energy pricing policies and demand-side alternatives

Dylan Brewer

2023Energy Policy17 citationsDOIOpen Access PDF

Abstract

I conduct a survey that presents research subjects with hypothetical costs to adjust their thermostats. I estimate responses to the cost of heating and analyze the causes for heterogeneity in household demand for energy services using the survey results as a complete-information baseline. I find that even at the highest price level ($8 per 5 °F or 2.8 °C), half of the participants exhibit zero response to price. On average, a 100 percent increase in the marginal cost of heating the home induces a 0.31 to 0.97 degree Fahrenheit (0.17 to 0.51 °C) reduction in the winter heating level, corresponding to a −0.005 to −0.014 elasticity. Further, I find that participants’ survey behavior with complete information can explain observed real-world temperature settings, suggesting a limited role for informational barriers or salience issues in energy-service demand heterogeneity. Inelastic demand suggests that energy efficiency policies may have high returns and that centralized demand–response policies may be required to address winter energy emergencies.

Topics & Concepts

Price elasticity of demandEconomicsMarginal costThermostatEnergy demandSalience (neuroscience)Demand responseRebound effect (conservation)Survey data collectionHeating degree dayMicroeconomicsEfficient energy useEconometricsAgricultural economicsEnergy consumptionEnvironmental economicsEngineeringPsychologyElectrical engineeringMechanical engineeringStatisticsElectricityCognitive psychologyMathematicsEnergy, Environment, and Transportation PoliciesEnergy Efficiency and ManagementEnergy and Environment Impacts