|Dataset full name:||Panel Survey of Income Dynamics|
|Summary||The Panel Study of Income Dynamics (PSID) is a longitudinal household survey that began collecting annual data in 1968, and has done so every two years since 1997. It follows a nationally representative sample of over 18,000 individuals living in 5,000 families in the U.S.; as of 2016, the sample had grown to 24,000 individuals in 10,000 families. Information on these individuals and their descendants has been collected continuously for nearly 50 years. The PSID collects data regarding employment, income, wealth, expenditures, health, marriage, childbearing, child development, philanthropy, education, and numerous other topics.|
|Key Terms||Family, Family member, Family units, Well-being|
|Sponsoring Agency/Entity||National Science Foundation (NSF), the National Institute on Aging (NIA), the Eunice Kennedy Shriver National Institute on Health and Human Development, the Center on Philanthropy at Indiana University, the U.S. Department of Agriculture, the Office of the Assistant Secretary for Planning and Evaluation, and the U.S., Department of Housing and Urban Development.||Health conditions/Disability measures|
|Disability Measures||1968-current: Work limitation 1999-current: Ambulatory disability, Cognitive disability, Functional limitations (ADLs & IADLs), Independent living disability, Mental health disability, Self-care disability 2005-current: Communication impairment, Special equipment use/assistive technology 2009-current: Visual disability||Measures/outcomes of interest|
|Topics||Income, employment, assistance program participation, economic opportunity||Sample|
|Sample Population||Stratified multi-stage sample of U.S. families and their members|
|Sample Size/Notes||More than 24,000 individuals in 10,000 families|
|Unit of Observation||Individual|
|Geographic Coverage||United States|
|Geographic specificity||State, Truncated Beale rural-urban code categories (1985-1997)<br>Geospacial block-level data (restricted access)||Data Collection|
|Data Collection Mode||Survey|
|Data Collection Frequency||1968-1996: Annually. 1997-current : Data collected every two years||Strengths and limitations|
|Strengths||Provides long-running, detailed information on families and economics. Longitudinal data permit the examination of the dynamics of the disability process, including disability onset, duration and consequences. Possible to link to Medicare claims data. Instrument similar to that used in the Health and Retirement Study (HRS). A variable cross-walk between the PSID (2001) and HRS (2000) is available here: https://psidonline.isr.umich.edu/Guide/News.aspx|
|Limitations||Prior to 1999, disability information was limited to a work limitation question asked of the head of household and spouse. Limited data regarding the disability status of other family members. Annual sample size too small to support state level estimates to study specific disability types or children with disabilities.||Data details|
|Data Access Requirements||Public Use DatasetData Use agreement, No Cost: block-level geospacial data; National Death Index mortality data; assisted housing matched to U.S. Department of Housing and Urban Development data; Medicare claims; and educational characteristics linked t|
Technical paper series: https://psidonline.isr.umich.edu/Publications/Papers
PSID Main Interview User Manual: Release 2013. Institute for Social Research, University of Michigan, July, 2013 https://psidonline.isr.umich.edu/data/Documentation/UserGuide2015.pdf Burkhauser, R.V., Weathers, R., & Schroeder, M. (2006, May). A Guide to Disability Statistics from the Panel Study of Income Dynamics.
Have a question about rehabilitation datasets? Contact our researchers for technical assistance, log in or register.
The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
Other CLDR supported resources and collaborative opportunities:
Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.
For questions or comments please contact email@example.com