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Disentangling temporal patterns in elasticities: A functional coefficient panel analysis of electricity demand
- Chang, Yoosoon;
- Choi, Yongok;
- Kim, Chang Sik;
- Miller, J. Isaac;
- Park, Joon Y.
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28초록
We introduce a panel model with a nonparametric functional coefficient of multiple arguments. The coefficient is a function both of time, allowing temporal changes in an otherwise linear model, and of the regressor itself, allowing nonlinearity. In contrast to a time series model, the effects of the two arguments can be identified using a panel model. We apply the model to the relationship between real GDP and electricity consumption. Our results suggest that the corresponding elasticities have decreased over time in developed countries, but that this decrease cannot be entirely explained by changes in GDP itself or by sectoral shifts. (C) 2016 Elsevier B.V. All rights reserved.
키워드
Semiparametric panel regression; Partially linear functional coefficient model; Elasticity of electricity demand; LONG-RUN ELASTICITIES; ENERGY DEMAND; ECONOMIC-DEVELOPMENT; INCOME; CONSUMPTION; EMISSIONS; PRICES; MODELS
- 제목
- Disentangling temporal patterns in elasticities: A functional coefficient panel analysis of electricity demand
- 저자
- Chang, Yoosoon; Choi, Yongok; Kim, Chang Sik; Miller, J. Isaac; Park, Joon Y.
- 발행일
- 2016-11
- 유형
- Article
- 저널명
- Energy Economics
- 권
- 60
- 페이지
- 232 ~ 243