| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1080/1350485052000337789 |
| ISBN | 1350-4851 |
| Estimating underlying energy demand trends using UK annual data. | |
| Dimitropoulos, John; Hunt, Lester C; Judge, Guy | |
| 发表日期 | 2005-03 |
| 出处 | Applied Economics Letters |
| 出版者 | Taylor & Francis |
| 出版年 | 2005 |
| 页码 | 239-244 |
| 语种 | 英语 |
| 摘要 | Employing the Structural Time Series Model (STSM) approach suggested by Harvey (1997), and based on annual data for the UK from 1967–2002, this paper reiterates the importance of using a stochastic rather than a linear deterministic trend formulation when estimating energy demand models, a practice originally established by Hunt et al. (2003a, 2003b) using quarterly UK data. The findings confirm that important non-linear and stochastic trends are present as a result of technical change and other exogenous factors driving demand, and that a failure to account for these trends will lead to biased estimates of the long-run price and income elasticities. The study also establishes that, provided these effects are allowed for, the estimated long-run elasticities are robust to the different data frequencies used in the modelling. |
| 特色分类 | H Social Sciences (General) |
| URL | http://sro.sussex.ac.uk/id/eprint/17741/ |
| 来源智库 | Science Policy Research Unit (United Kingdom) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/467163 |
| 推荐引用方式 GB/T 7714 | Dimitropoulos, John,Hunt, Lester C,Judge, Guy. Estimating underlying energy demand trends using UK annual data.. 2005. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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