Economics at your fingertips  

Estimating base temperatures in econometric models that include degree days

James Woods and Cody Fuller

Energy Economics, 2014, vol. 45, issue C, 166-171

Abstract: Heating and cooling degree days are in common use in conditional demand models, billing analysis, and large-scale energy forecasts. The implications of either choosing an ex-ante base temperature, or scanning over the base temperatures, as suggested in Fels (1986) and recommended by some evaluation protocols, are infrequently considered. These procedures result in biased estimates of weather-driven loads because of correlated errors-in-variables, and impart a downward bias to the variance of those estimates by a factor of two. A non-linear estimation procedure that corrects for these biases and an ex-ante correction factor for evaluating prior evaluations are offered.

Keywords: Nonlinear models; Evaluation; Errors-in-variables; Weather statistics; Billing analysis; Demand forecasting (search for similar items in EconPapers)
JEL-codes: Q47 C29 C51 L94 L95 D19 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

Page updated 2019-03-31
Handle: RePEc:eee:eneeco:v:45:y:2014:i:c:p:166-171