Economic and Policy Analysis
APPRISE utilizes an array of research and analysis methods to provide information and recommendations to program administrators and decision-makers.
Economic and Policy Analysis Activities
- Literature Review: Analysis of data sources including academic journals, professional conference proceedings, and literature for background information on policy issues.
- Public Use Data Analysis: Use of publicly available data to explore policy issues and provide data about policy problems.
- Policy Options Analysis: Review of program design options and outcomes.
- Economic Impacts Analysis: Analysis of a program’s impact on the economic activity in the state, region, or other geographic area.
APPRISE Economic and Policy Analysis
- Levels and Types of Energy Insecurity – Estimation of the rate at which low-income households face various types of energy problems and examination of survey respondent reports on the extent to which energy assistance restores home heating and cooling for households experiencing service interruptions.
- Factors Related to Energy Insecurity – An analysis of the factors associated with energy problems including poverty level, energy burden, geographic region and other demographic and housing factors.
- Performance of the Home Energy Insecurity Scale – An assessment of the performance of the Home Energy Insecurity Scale in measuring the impacts of energy costs on low-income households compared to other Energy Insecurity measures used in the past.
Furthermore, Congressional Committees indicated in 1994 that LIHEAP grantees needed to reassess their LIHEAP benefit structures to ensure that they are targeting those low income households that have the highest energy costs or needs. The purpose of this evaluation study was to assess to what extent the LIHEAP program is serving the lowest income households that have the highest energy burdens. The study uses data from the 2001 Residential Energy Consumption Survey (RECS) to examine the distribution of income and energy burden for low income households and identify those that have the lowest incomes and highest energy burdens (i.e., high burden households). The study uses the 2001 RECS LIHEAP Supplement to measure the effectiveness of the FY 2001 LIHEAP program in serving high burden households. The study quantifies program effectiveness using targeting performance measures. The study also identifies procedures for updating energy burden targeting performance statistics in the future.