Survey of Household Economics and Decisionmaking (SHED) 2019, United States (ICPSR 37924)

Principal Investigator(s):
United States. Board of Governors of the Federal Reserve System (U.S.)

This is an external resource to which ICPSR links as a courtesy. These data are not available from ICPSR. Users should consult the data owners (via Survey of Household Economics and Decisionmaking (SHED) 2019, United States) directly for details on obtaining these resources.

Alternate Title

SHED 2019

Summary

Since 2013, the Federal Reserve Board has conducted the Survey of Household Economics and Decisionmaking (SHED), which measures the economic well-being of U.S. households and identifies potential risks to their finances. The survey includes modules on a range of topics of current relevance to financial well-being including credit access and behaviors, savings, retirement, economic fragility, and education and student loans. The Board's seventh annual SHED survey was conducted in October 2019. The survey offers a picture of personal finances prior to the onset of the COVID-19 pandemic. Also, a smaller supplemental SHED survey - Supplemental Survey of Household Economics and Decisionmaking (SHED), April 2020 (ICPSR 37921) - is available for download and online analysis from the National Archive of Data on Arts and Culture (NADAC). It focuses on labor market effects and households' overall financial circumstances in the midst of closures and stay-at-home orders during the COVID-19 pandemic.

Subject Terms

Geographic Coverage

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Time Period(s)

2019-10

Data Collection Notes

The Survey of Household Economics and Decisionmaking was fielded from October 11 through October 24 of 2019. This was the seventh year of the survey, conducted annually in the fourth quarter of each year since 2013. Staff of the Federal Reserve Board wrote the survey questions in consultation with other Federal Reserve System staff, outside academics, and professional survey experts.

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Sample

The SHED sample was designed to be representative of adults age 18 and older living in the United States and was drawn using probability-based sampling methods. Unlike previous years, the 2019 survey did not include a low-income oversample.

Data Type(s)

survey data
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Original Release Date

2020-12-04

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Weight

The use of weights in the analysis is recommended to allow the sample population to accurately match the U.S. population (not in the military or in institutions, such as prisons or nursing homes). It remains possible that non-coverage, nonresponse, or occasional disparities among recruited panel members result in differences between the sample population and the U.S. population. For example, address-based sampling likely misses homeless populations, and non-English speakers may not participate in surveys conducted in English. Ipsos, a private consumer research firm which administered the survey, used its KnowledgePanel (a nationally representative probability-based online panel) to select respondents for KnowledgePanel based on address-based sampling (ABS). SHED respondents were then selected from this panel. The entire KnowledgePanel was weighted to the benchmarks in the latest March supplement of the Current Population Survey along several geodemographic dimensions including gender, age, race, ethnicity, education, census region, household income, homeownership status, and metropolitan area status. Using these weights as the measure of size(MOS) for each panel member, in the next step a probability proportional to size (PPS) procedure was used to select study specific samples. Next, weights were adjusted in a post-stratification process to correct for any survey nonresponse as well as any non-coverage or under- and over-sampling in the study design. Variables used for the adjustment of weights were: age, gender, race, ethnicity, census region, residence in a metropolitan area, education, and household income. Demographic and geographic distributions for the noninstitutionalized, civilian population age 18 and older from the March Current Population Survey were the benchmarks in this adjustment.

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