Comparison of energy expenditures by elderly and non-elderly households: 1975 and 1985

Technical Report · Thu May 01 04:00:00 EDT 1980

DOI:https://doi.org/10.2172/5316887· OSTI ID:5316887

Siler, A

The relative position of the elderly in the population is examined and their characteristic use of energy in relation to the total population and their non-elderly counterparts is observed. The 1985 projections are based on demographic, economic, and socio-economic, and energy data assumptions contained in the 1978 Annual Report to Congress. The model used for estimating household energy expenditure is MATH/CHRDS - Micro-Analysis of Transfers to Households/Comprehensive Human Resources Data System. Characteristics used include households disposable income, poverty status, location by DOE region and Standard Metropolitan Statistical Area (SMSA), and race and sex of the household head as well as age. Energy use by fuel type will be identified for total home fuels, including electricity, natural gas, bottled gas and fuel oil, and for all fuels, where gasoline use is also included. Throughout the analysis, both income and expenditure-dollar amounts for 1975 and 1985 are expressed in constant 1978 dollars. Two appendices contain statistical information.

• Research Organization: Department of Energy, Washington, DC (USA). Energy Information Administration
• OSTI ID: 5316887
• Report Number(s): DOE/EIA/AR-0220
• Country of Publication: United States
• Language: English

Related Subjects

29 ENERGY PLANNING, POLICY, AND ECONOMY
290200* -- Energy Planning & Policy-- Economics & Sociology
298000 -- Energy Planning & Policy-- Consumption & Utilization
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
320101 -- Energy Conservation
Consumption
& Utilization-- Residential Buildings-- (-1987)
AGE GROUPS
BUILDINGS
CHARGES
COMPARATIVE EVALUATIONS
DATA
DATA COMPILATION
ELDERLY PEOPLE
ENERGY CONSUMPTION
FORECASTING
HOUSES
HUMAN POPULATIONS
INCOME
INFORMATION
INSTITUTIONAL FACTORS
MATHEMATICS
MINORITY GROUPS
NUMERICAL DATA
POPULATIONS
RESIDENTIAL BUILDINGS
SOCIO-ECONOMIC FACTORS
STATISTICS