This paper uses an experiment to identify what modeling decisions significantly affect estimates of own-price elasticity for non-residential (commercial and industrial) electricity demand in the United States (U.S.). Based on 174,240 panel data model runs involving 10,944 monthly state-level observations from the Energy Information Administration for 2001–2019, these decisions are parametric specification, estimation method, and treatment of cross-section dependence. As most of the many generated elasticity estimates are between 0.0 and −0.2, price-induced conservation is likely modest, thus justifying continued policy support for energy efficiency standards and demand-side management in the U.S. path to deep decarbonization. Copyright © 2023 Elsevier Ltd.
CitationCao, K. H., Qi, H. S., Li, R., Woo, C. K., Tishler, A., & Zarnikau, J. (2023). An experiment in own-price elasticity estimation for non-residential electricity demand in the U.S. Utilities Policy, 81. Retrieved from https://doi.org/10.1016/j.jup.2023.101489
- Price elasticity
- Estimation experiment
- Non-residential electricity demand