High Bill Alert Programs and Household Energy Consumption

This dataset supports replication for a study on high bill alert programs and their impact on energy consumption. The data was authored by Grant Jacobsen and is hosted by the Journal of the Association of Environmental and Resource Economists Dataverse. The row count, column count, and specific data fields are not provided in the input.

Use Cases

• Analyze the relationship between high bill alert program enrollment and subsequent changes in household energy consumption.
• Model the effect of demographic or geographic variables on the effectiveness of high bill alert interventions.
• Assess the correlation between utility pricing structures and consumer response to high bill alerts.

Strengths

• Data is associated with a peer-reviewed journal publication in environmental and resource economics.
• The dataset is hosted on a Dataverse repository, which typically enforces data citation and preservation standards.
• The record was last updated in February 2026, indicating recent maintenance.

Limitations

• The specific data structure, including the number of rows, columns, and variable names, is unknown.
• Without access to the data files, the sample size, temporal coverage, and geographic scope cannot be assessed.
• The raw description is minimal, offering no details on data collection methodology or unit of analysis.

Provenance

Source

Journal of the Association of Environmental and Resource Economists Dataverse

Collection Method

Replication data for a published study; specific collection method is null.

Freshness

The record was last updated on 2026-02-05.