Disentangling temporal patterns in elasticities: A functional coefficient panel analysis of electricity demand

Yoosoon Chang (), Yongok Choi, Chang Sik Kim, J. Miller and Joon Y. Park

Energy Economics, 2016, vol. 60, issue C, 232-243

Abstract: 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.

Keywords: Semiparametric panel regression; Partially linear functional coefficient model; Elasticity of electricity demand (search for similar items in EconPapers)
JEL-codes: C33 C51 C53 Q41 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)

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Related works:
Working Paper: Disentangling Temporal Patterns in Elasticities: A Functional Coefficient Panel Analysis of Electricity Demand (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:60:y:2016:i:c:p:232-243

DOI: 10.1016/j.eneco.2016.10.002

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