An application of dichotomous and polytomous Rasch models for scoring energy insecurity

Abstract

Household food security in the United States has been extensively researched and a number of indexes have been generated. However, household energy security has been largely ignored even though low-income households spend almost equal income shares on food and energy. This paper uses Rasch models and household responses to energy security questions in the 2005 Residential Energy Consumption Survey to generate an energy insecurity index that is consistent with those found in the food insecurity literature. The analysis yields several important findings for the generation of policy relevant household energy insecurity indexes. Questions that indicate reduction of basic expenditures, such as food, clothing, and shelter, are easiest for households to affirm implying low exposure to energy insecurity. Conversely, questions that concern households leaving the residence due to extreme temperatures consistently imply high exposure to energy insecurity. Households that score in the top decile of the energy insecurity index are more likely to be headed by single-females, be younger, and have a Black household head. Rasch models also identify flaws within survey. Particularly, the scope of the questions is quite broad and a refinement of the survey questions to focus on specific attributes of energy insecurity would likely improve future energy security indexes.