Improving Small Area Estimates of Disability: Combining the American Community Survey with the Survey of Income and Program Participation
该研究提出将美国社区调查（ACS）与收入与项目参与调查（SIPP）的数据相结合，以降低SIPP定义的残疾率在各州的估计方差，从而改进小区域估计的可靠性。
Summary 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).