By National Research Council, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Panel on the Census Bureau's Reengineered Survey of Income and Program Participation, John Karl Scholz, Constance F. Citro
Starting in 2006, the Census Bureau launched into a application to reengineer the Survey of source of revenue and software Participation (SIPP) to lessen its expenditures and enhance information caliber and timeliness. The Bureau additionally asked the nationwide Academies to think about the benefits and downsides of concepts for linking administrative files and survey information, taking account of the accessibility of correct administrative documents, the operational feasibility of linking, the standard and value of the associated information, and the power to supply entry to the associated info whereas holding the confidentiality of person respondents. In reaction, this quantity first examines the historical past of SIPP and studies the survey's goal, worth, strengths, and weaknesses. The publication examines replacement makes use of of administrative files in a reengineered SIPP and, ultimately, considers recommendations in SIPP layout and information assortment, together with the proposed use of annual interviews with an occasion historical past calendar.
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Extra info for Reengineering the Survey of Income and Program Participation
Consider the following examples of shortcomings in administrative records: • • Records for programs to assist low-income people, such as the Supplemental Security Income (SSI) Program or the Food Stamp Program (since 2008 termed the Supplemental Nutrition Assistance Program or SNAP), contain information only for beneficiaries and not also for people who are eligible for the program but do not apply for or are erroneously denied benefits. Being able to estimate the size of the eligible population, including participants and nonparticipants, is important to address the extent to which an eligible population’s needs are being met, what kinds of people are more or less likely to participate in a program, and other policy-relevant questions.
Monthly estimates will reflect any net reporting bias, but the bias for any survey wave will be distributed uniformly across the calendar months of the reference period. This is important for estimates of monthly program eligibility and participation. Too Many Transitions? Health insurance coverage estimates from SIPP illustrate the general problem of overstated transitions and their implications for longitudinal analysis. , 2007). However, changes in coverage in SIPP occur with a frequency that strains belief—particularly among children.
A. A. A. A. A. A. A. A. A. A. A. A. A. A. A. = Not applicable. Original and reduced sample sizes are rounded to the nearest hundred households. Original sample sizes are the number of households eligible to be interviewed at the start of Wave 1. Reduced sample sizes are reductions in original sample sizes due to budget cuts (the wave in which the cut took effect is indicated in parentheses). Reduced sample sizes do not reflect reduction in sample sizes due to attrition; nor do they reflect growth (or decline) in sample sizes due to changes in household composition because original sample people moved out of or back into an original sample household.
Reengineering the Survey of Income and Program Participation by National Research Council, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Panel on the Census Bureau's Reengineered Survey of Income and Program Participation, John Karl Scholz, Constance F. Citro