Estimation of energy savings from voluntary conservation programs
Thesis/Dissertation
·
OSTI ID:5482815
Self-selection is one of the major econometric problems that emerges in the evaluation of voluntary energy conservation programs. Two approaches can be used to control sample selection bias. The first approach is the sequential or joint estimation of both a discrete-choice program participation model and a multivariate regression model of energy savings. The second approach is to use first-difference models in conjunction with pooled time-series/cross-section data to adjust the systematic difference between program participants and non-participants. This study attempts to measure the bias of the classical ordinary least-squares estimators, and to compare the efficiency of a menu of alternative estimators for controlling selectivity bias through Monte Carlo experiments. In addition, these estimators are also applied to a data set from a demand-side-management residential energy-conservation program. The study results show that the classical ordinary least-squares estimators are biased, and the first-difference estimators are the best compared to other estimators.
- Research Organization:
- Colorado Univ., Boulder, CO (United States)
- OSTI ID:
- 5482815
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
29 ENERGY PLANNING, POLICY, AND ECONOMY
291000* -- Energy Planning & Policy-- Conservation
292000 -- Energy Planning & Policy-- Supply
Demand & Forecasting
DEMAND FACTORS
ENERGY CONSERVATION
LEAST SQUARE FIT
MATHEMATICS
MAXIMUM-LIKELIHOOD FIT
MONTE CARLO METHOD
NUMERICAL ANALYSIS
NUMERICAL SOLUTION
REGRESSION ANALYSIS
RESIDENTIAL SECTOR
STATISTICS
291000* -- Energy Planning & Policy-- Conservation
292000 -- Energy Planning & Policy-- Supply
Demand & Forecasting
DEMAND FACTORS
ENERGY CONSERVATION
LEAST SQUARE FIT
MATHEMATICS
MAXIMUM-LIKELIHOOD FIT
MONTE CARLO METHOD
NUMERICAL ANALYSIS
NUMERICAL SOLUTION
REGRESSION ANALYSIS
RESIDENTIAL SECTOR
STATISTICS