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A Guide to Disability Statistics from the Panel Study of Income Dynamics

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dc.contributor.authorBurkhauser, Richard V.
dc.contributor.authorWeathers II, Robert R.
dc.contributor.authorSchroeder, Mathis
dc.date.accessioned2020-12-06T23:09:49Z
dc.date.available2020-12-06T23:09:49Z
dc.date.issued2006-05-01
dc.description.abstractThis User Guide provides information on the Panel Study of Income Dynamics (PSID). The 2003 PSID is a nationally representative sample of over 7,000 families. The PSID began in 1968 with a sample of 4,800 families and re-interviewed these families on an annual basis from 1968-1997. Since then, it has re-interviewed them biennially. Following the same families and individuals since 1968, the PSID collects data on economic, health, and social behavior. (See http://psidonline.isr.umich.edu/ for detailed information on the PSID). Initially, the PSID identified disability by asking the head of the household whether he, or she when no adult male is present, had a physical or nervous condition that limits his or her ability to work. In 1981 the PSID began asking the head this question with respect to his spouse. Additional questions that provide an opportunity to expand this definition of disability were included in 2003. The User Guide makes use of these new questions to estimate the size of the population with disabilities and the prevalence rate of disability in the population, as well as the employment rate and level of economic well-being. The major strength of the PSID for those interested in disability research is its long-running information on families. No other nationally representative survey has captured such detailed information on the same families over such a long time. Such longitudinal data allows researchers to better understand the dynamics of the disability process and its consequences. Here we demonstrate the comparative advantage of the PSID over traditional cross-sectional data sets. Using the PSID, we identify persons with disabilities of various lengths and show the sensitivity of alternative definitions of the population with disabilities based on the duration of a disability. We also measure how the employment and economic well-being of individuals changes following the onset of a disability. Finally, we provide examples of how the PSID has been used with the German Socio-Economic Panel (GSOEP) to compare the employment and economic well-being of working-age people with disabilities in the United States and Germany. This analysis uses the equivalized data from these longitudinal datasets contained in the Cornell University Cross-National Equivalent File (CNEF).
dc.description.legacydownloadsDE90_pdf2.pdf: 1925 downloads, before Oct. 1, 2020.
dc.description.legacydownloads0-PSID_UG.htm: 464 downloads, before Oct. 1, 2020.
dc.description.legacydownloads1-DE90_htm1.htm: 0 downloads, before Oct. 1, 2020.
dc.identifier.other171819
dc.identifier.urihttps://hdl.handle.net/1813/89964
dc.language.isoen_US
dc.subjectcharts
dc.subjectdata
dc.subjectdevelopmental disabled
dc.subjectdisabilities
dc.subjectdisability
dc.subjectdisability statistics
dc.subjectDisability Statistics Research
dc.subjectEDIcat5-DSR
dc.subjectdisable
dc.subjectdisabled
dc.subjectdisablement
dc.subjectdisabling
dc.subjectearnings
dc.subjecteconomic
dc.subjecteconomics
dc.subjecteconomy
dc.subjectemploy
dc.subjectemploying
dc.subjectemployment
dc.subjectestimates
dc.subjectfigures
dc.subjectgraphs
dc.subjecthandicap
dc.subjecthandicapped
dc.subjectimpairment
dc.subjectinformation
dc.subjectLabor Market
dc.subjectlearning disability
dc.subjectlimitation
dc.subjectmental handicap
dc.subjectmental retardation
dc.subjectnumbers
dc.subjectphysical disability
dc.subjectself-employment
dc.subjectspecial need
dc.subjectstatistic
dc.subjectstatistics
dc.subjectstats
dc.subjectwork
dc.subjectdisability demographics
dc.subjectNational Health Interview Survey – Disability Supplement
dc.subjectNHIS-D
dc.titleA Guide to Disability Statistics from the Panel Study of Income Dynamics
dc.typearticle
local.authorAffiliationBurkhauser, Richard V.: rvb1@cornell.edu Cornell University
local.authorAffiliationWeathers II, Robert R.: rw56@cornell.edu Cornell University
local.authorAffiliationSchroeder, Mathis: jms257@cornell.edu Cornell University

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K. Lisa Yang and Hock E. Tan Institute on Employment and Disability Collection
ILR Manuals and User Guides