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Rehabilitation Dataset Directory: Dataset Profile


Dataset: Panel Survey of Income Dynamics (PSID)

Basic Information
Dataset full name: Panel Survey of Income Dynamics
Dataset acronym PSID
Summary The Panel Study of Income Dynamics (PSID) is a biennial longitudinal household survey that began in 1968. It follows a nationally representative sample of over 18,000 individuals living in 5,000 families in the US; as of 2014 the sample has grown to 22,000 individuals in 9,000 families. Information on these individuals and their descendants has been collected continuously for over 40 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
Study Design Longitudinal
Data Type(s) Survey
Sponsoring Agency/Entity National Science Foundation (NSF)
Health conditions/Disability measures
Health condition(s) Health condition items added in 2003-current: Asthma, Heart attack, High blood pressure, Heart disease, Chronic lung disease, Diabetes, Cancer, Depression, Epilepsy/seizures, Arthritis, Stroke
Disability Measures 1968-current:Work limitation.
2003-current: Memory loss, Learning disorder, Asthma, Emotional/nervous/psychiatric problem, ADLs, IADLs
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 Approximately 22,000 individuals in 9,000 families
Unit of Observation Individual
Geographic Coverage United States
Geographic specificity State, Beale rural-urban code categories
Data Collection
Data Collection Mode Survey
Years Collected 1968-current
Data Collection Frequency 1968-1996: Annually.
1997-current : Biannually
Strengths and limitations
Strengths Provides long-running, detailed information on families and economics. Longitudinal data permits 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:
http://simba.isr.umich.edu/data/PSIDHRS/AboutXWalk.aspx
Limitations Only work limitation disability information collected prior to 2003 and that only for 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
Primary Website http://psidonline.isr.umich.edu/
Data Access http://simba.isr.umich.edu/data/data.aspx
Data Access Requirements Data Use agreement, No Cost
Summary Tables/reports
Dataset components (where applicable) Each year of data is comprised of 4 main data files (each of which are comprised of several topical sub-files). The following are the main files:

Family-level.

PSID Individual-level .

Child Development Supplement (CDS) and Transition to Adulthood (TA) (Note: Also includes Adult Time Diary Aggregates).

Child Development Supplement (CDS) Time Diaries.
Selected papers
Technical Technical paper series:
http://psidonline.isr.umich.edu/Publications/Papers/
Other Papers Burkhauser, R.V., Weathers, R., & Schroeder, M. (2006, May). A Guide to Disability Statistics from the Panel Study of Income Dynamics.:
http://digitalcommons.ilr.cornell.edu/edicollect/1207/



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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).

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