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Improving small area estimates of disability: combining the American Community Survey with the Survey of Income and Program Participation

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  • Jerry J. Maples

Abstract

The Survey of Income and Program Participation (SIPP) is designed to make national level estimates of changes in income, eligibility for and participation in transfer programmes, household and family composition, labour force behaviour and other associated events. Used cross‐sectionally, the SIPP is the source for commonly accepted estimates of disability prevalence, having been cited in the findings clause of the Americans with Disability Act. Because of its sample size, the SIPP is not designed to produce highly reliable estimates for individual states. The American Community Survey (ACS) is a large sample survey which is designed to support estimates of characteristics at the state and county level; however, the questions about disability in the ACS are not as comprehensive and detailed as in the SIPP. We propose combining the information from the SIPP and ACS to improve, i.e. to lower variances of, state estimates of disability (as defined by the SIPP).

Suggested Citation

  • Jerry J. Maples, 2017. "Improving small area estimates of disability: combining the American Community Survey with the Survey of Income and Program Participation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 1211-1227, October.
    • Handle: RePEc:bla:jorssa:v:180:y:2017:i:4:p:1211-1227
    DOI: 10.1111/rssa.12310
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    References listed on IDEAS

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