Multidimensional well-being of US households at a fine spatial scale using fused household surveys: fusionACS

Social science often relies on surveys of households and individuals. Dozens of such surveys are regularly administered by the U.S. government. However, they field independent, unconnected samples with specialized questions, limiting research questions to those that can be answered by a single surve...

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Bibliographic Details
Published inarXiv.org
Main Authors Ummel, Kevin, Poblete-Cazenave, Miguel, Akkiraju, Karthik, Graetz, Nick, Ashman, Hero, Kingdon, Cora, Steven Herrera Tenorio, Aaryaman "Sunny" Singhal, Daniel Aldana Cohen, Rao, Narasimha D
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 15.09.2023
Subjects
Energy consumption
Households
Questions
Residential energy
United States > US
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Summary:Social science often relies on surveys of households and individuals. Dozens of such surveys are regularly administered by the U.S. government. However, they field independent, unconnected samples with specialized questions, limiting research questions to those that can be answered by a single survey. The fusionACS project seeks to integrate data from multiple U.S. household surveys by statistically "fusing" variables from "donor" surveys onto American Community Survey (ACS) microdata. This results in an integrated microdataset of household attributes and well-being dimensions that can be analyzed to address research questions in ways that are not currently possible. The presented data comprise the fusion onto the ACS of select donor variables from the Residential Energy Consumption Survey (RECS) of 2015, the National Household Transportation Survey (NHTS) of 2017, the American Housing Survey (AHS) of 2019, and the Consumer Expenditure Survey - Interview (CEI) for the years 2015-2019. The underlying statistical techniques are included in an open-source \(R\) package, fusionModel, that provides generic tools for the creation, analysis, and validation of fused microdata.
ISSN:2331-8422