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

19454 8 104759 2 319020 document 104759 s41597-023-02788-7.pdf application/pdf a3f5d1c31c65e2d1e4786416af0c4d37 MD5 3731200 2024-01-30 12:30:05 https://pure.iiasa.ac.at/id/eprint/19454/1/s41597-023-02788-7.pdf 19454 1 1 application/pdf text en public cc_by_4

s41597-023-02788-7.pdf

published 104765 2 319031 document 104765 lightbox.jpg image/png 179f24f926f8fa3d1a0451c4424ba1aa MD5 62348 2024-01-30 12:40:10 https://pure.iiasa.ac.at/id/eprint/19454/2/lightbox.jpg 19454 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/104759 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/104759 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/104759 archive 353 disk0/00/01/94/54 2024-01-30 12:31:23 2026-03-06 05:00:20 2024-01-30 12:31:23 article show Ummel K. Poblete Cazenave M. 8909 0000-0001-8280-910X Akkiraju K. Graetz N. Ashman H. Kingdon C. Herrera Tenorio S. Singhal A.S. Cohen D.A. Rao N. 1961 0000-0003-1888-5292 Multidimensional well-being of US households at a fine spatial scale using fused household surveys pub ECE TISS 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 presented data comprise the fusion onto the American Community Survey (ACS) microdata of select donor variables from the Residential Energy Consumption Survey (RECS) of 2015, the National Household Travel Survey (NHTS) of 2017, the American Housing Survey (AHS) of 2019, and the Consumer Expenditure Survey - Interview (CEI) for the years 2015-2019. 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 underlying statistical techniques, designed under the fusionACS project, are included in an open-source R package, fusionModel, that provides generic tools for the creation, analysis, and validation of fused microdata. 2024-01-29 published Nature Publishing Group doi:10.1038/s41597-023-02788-7 3068 243 public Scientific Data 11 1 TRUE 2052-4463 no info:eu-repo/semantics/article