How sensitive to time period sampling is the asymmetric price response specification in energy demand modelling?

Yaw Osei Adofo, Joanne Evans and Lester Hunt

Energy Economics, 2013, vol. 40, issue C, 90-109

Abstract: The purpose of this paper is to investigate the criticism that energy demand estimates based on a specific price decomposition are sensitive to the chosen time period used for the estimation. To analyse this in a systematic way, different time series sample periods are constructed from annual data for 17 OECD countries covering the overall period 1960 to 2008. The specific price decomposition under consideration, often used to estimate asymmetric price response models of energy demand, separates the impact of prices above the previous maximum, of a price recovery below the previous maximum and of a price cut. Therefore, the analysis does not just involve using different time periods; instead, for each time period investigated, a new dataset is constructed and for each dataset, the price variable is decomposed in this way. An energy demand relationship allowing for asymmetric price responses is therefore estimated for each different sample period and the results suggest that recalculation of the decomposed price variables for each different period does affect the stability of the estimated energy demand responses. In contrast, a similarly estimated energy demand relationship with symmetric price responses for each different sample period is found to have less instability.

Keywords: Energy demand modelling; Asymmetric price responses; Stability of estimates (search for similar items in EconPapers)
JEL-codes: C23 C52 Q41 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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Working Paper: How sensitive to time period sampling is the asymmetric price response specification in energy demand modelling? (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:40:y:2013:i:c:p:90-109

DOI: 10.1016/j.eneco.2013.05.015

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