Following the seminal work of McFadden. Puig, and Kirschner (1977) and the general availability of national microdata sets, residential energy demand studies have been conducted for electricity, natural gas, fuel oil. LP gas, and wood (see Garbacz, 1984, 1985). Using the National Interim Energy Consumption Survey (NIECS) data, Garbacz (1984) developed a three-equation model (demand, price, and appliance stock) to estimate national electricity demand using two-stage least squares (2SLS) for house-holds by month. This study builds on the previous work to estimate elasticities by month and by region. It is hypothesized that elasticities vary substantially between the heating and cooling seasons. Previous work by Acton, Mitchell, and Sohiberg (...
Elasticity coefficients are estimated for the different regions in the United States. Residential, c...
This report summarizes the econometric theory surrounding estimation of residential demand functions...
Use of annual data instead of monthly data distorts the regression results. The problem arises from ...
The residential demand for electricity in Nebraska is analyzed with a flow-adjustment model for th...
© 2018 Elsevier Ltd This paper examines the demand for electricity in the residential, commercial, a...
Elasticity coefficients are estimated for the different regions in the United States. Residential, c...
We study residential demand for electricity and gas, working with nationwide household-level data th...
Commercial electricity usage exceeds that of industrial usage and is almost as large as residential ...
This study analyzes the residential demand for electricity in the Southern Indiana Gas and Electric ...
Commercial electricity usage exceeds that of industrial usage and is almost as large as residential ...
203 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1980.In spite of the plentiful res...
Regional economic, demographic, and climatic data are used to analyze residential electricity demand...
This research examines whether or not the structure of demand for residential electricity has change...
Residential electricity consumption is an important component of total electricity sales for Nebrask...
Prepared in association with the Sloan School of Management and the Dept. of EconomicsNational Scien...
Elasticity coefficients are estimated for the different regions in the United States. Residential, c...
This report summarizes the econometric theory surrounding estimation of residential demand functions...
Use of annual data instead of monthly data distorts the regression results. The problem arises from ...
The residential demand for electricity in Nebraska is analyzed with a flow-adjustment model for th...
© 2018 Elsevier Ltd This paper examines the demand for electricity in the residential, commercial, a...
Elasticity coefficients are estimated for the different regions in the United States. Residential, c...
We study residential demand for electricity and gas, working with nationwide household-level data th...
Commercial electricity usage exceeds that of industrial usage and is almost as large as residential ...
This study analyzes the residential demand for electricity in the Southern Indiana Gas and Electric ...
Commercial electricity usage exceeds that of industrial usage and is almost as large as residential ...
203 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1980.In spite of the plentiful res...
Regional economic, demographic, and climatic data are used to analyze residential electricity demand...
This research examines whether or not the structure of demand for residential electricity has change...
Residential electricity consumption is an important component of total electricity sales for Nebrask...
Prepared in association with the Sloan School of Management and the Dept. of EconomicsNational Scien...
Elasticity coefficients are estimated for the different regions in the United States. Residential, c...
This report summarizes the econometric theory surrounding estimation of residential demand functions...
Use of annual data instead of monthly data distorts the regression results. The problem arises from ...