Multidimensional well-being of US households at a fine spatial scale
  using fused household surveys: fusionACS
Kevin Ummel Miguel Poblete-Cazenave Karthik Akkiraju Nick Graetz Hero Ashman Cora Kingdon Steven Herrera Tenorio Aaryaman "Sunny" Singhal Daniel Aldana Cohen Narasimha D. Rao
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.