Functional forms in energy demand modeling

被引:31
作者
Zarnikau, J [1 ]
机构
[1] Frontier Associates, Austin, TX 78759 USA
关键词
functional form; energy demand; non-parametric estimation; bootstrap methods;
D O I
10.1016/S0140-9883(03)00043-4
中图分类号
F [经济];
学科分类号
02 ;
摘要
In the estimation of demand functions for energy resources, linear, log-linear and translog functional forms are commonly assumed. It has often been questioned whether such functional forms can indeed accurately represent the underlying relationships between the demand for various energy resources and explanatory variables such as energy prices, weather variables, income and other factors. This paper compares linear, log-linear and translog share equation functional forms against a non-parametric function. Bootstrapping methods are used to test the validity of using the three parametric functional forms in models of residential energy demand. Cross-sectional household-level data from the US BLS Consumption Expenditure survey and other government datasets are used. Each of the parametric functional forms tested performs poorly, suggesting that they may be insufficiently flexible to provide valid results in certain applications. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:603 / 613
页数:11
相关论文
共 15 条
[1]  
AITSAHAILA Y, 2000, GOODNESS FIT TESTS K
[2]   Kernel regression in empirical microeconomics [J].
Blundell, R ;
Duncan, A .
JOURNAL OF HUMAN RESOURCES, 1998, 33 (01) :62-87
[3]  
COSIDINE T, 1989, ENERG ECON, P82
[4]   ON BOOTSTRAP CONFIDENCE-INTERVALS IN NONPARAMETRIC REGRESSION [J].
HALL, P .
ANNALS OF STATISTICS, 1992, 20 (02) :695-711
[5]   BOOTSTRAP SIMULTANEOUS ERROR BARS FOR NONPARAMETRIC REGRESSION [J].
HARDLE, W ;
MARRON, JS .
ANNALS OF STATISTICS, 1991, 19 (02) :778-796
[6]   COMPARING NONPARAMETRIC VERSUS PARAMETRIC REGRESSION FITS [J].
HARDLE, W ;
MAMMEN, E .
ANNALS OF STATISTICS, 1993, 21 (04) :1926-1947
[7]  
Hardle W., 1989, APPL NONPARAMETRIC R
[8]  
HARDLE W, EXPLORE LEARNING GUI
[9]  
NERLOVE M, 1997, NOTES MONTE CARLO BO
[10]  
QIN S, 1998, UNPUB ASSESSING SEPA