The 2014 Redesign of the Survey of Income and Program Participation An Assessment (2018) / Chapter Skim
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2 Background and Panel's Activities
2 Background and Panel's Activities
Pages 17-26
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1 The principal source of information for this section is Chapter 2 of Reengineering the urvey of Income and Program Participation (National Research Council, 2009)
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The most significant change (implemented in 1996) was replacing the overlapping panel design with an abutted panel design that "ran a panel through to completion before starting another panel" (National Research Council, 2009, p.
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.2 2 The DEWS was proposed as a longitudinal program that would measure program participation with a heavy reliance on administrative data and a survey component that was substantially scaled back (David Johnson, Reengineering the SIPP: The New Dynamics of Economic Well-Being System, presentation to the National Research Council, Committee on National Statistics, August 24, 2006, Washington, DC)
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Data SIPP's Principal Strengths: • ts unique and extensive monthly data on employment, earnings, program I participation, and household composition • nformation collected on assets, shelter costs, medical expenses, and other I items in its periodic topical modules that is necessary to simulate program eligibility and take-up rates • he detailed information collected on an array of subject areas related to T socioeconomic well-being in its periodic topical module • he overall quality of the information collected on program participants and the T low-income population generally relative to other household surveys SIPP's Major Weaknesses: • marked decline in the quality of income data as income rises A • isplaced and erroneous transitions in income receipt, program participation, M and health insurance coverage • ossible biases arising from attrition and an underrepresentation of new entrants P to the population (such as births, immigrants from abroad, and people moving from group quarters to household residences) • lack of timeliness in the release of data files A • ntil the late 1990s when the first edition of the SIPP Users' Guide was pub U lished, inadequate documentation to assist users in working with the complex SIPP public-use microdata files SOURCE: National Research Council (2009, pp.
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. SIPP's topical module data on disability have become the model of excellence for disability measurement" (National Research Council, 2009, p.
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The remainder of the questions from previous TMs was dropped from the reengineered SIPP. A third major change is that the SIPP team has incorporated some innovative methods into their processes: a new model-based imputation system, computer-assisted recorded interviewing methodology, and an incentive 3 Unpublished presentation by David Johnson titled SIPP Highlights and the New 2014 SIPP, at a public forum to discuss a proposed redesign for the 2014 SIPP, hosted by the National Academies of Sciences, Engineering, and Medicine, July 10, Washington, DC.
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These challenges included the following: • extending the reference period from 4 to 12 months while continu ing to collect monthly data; • extending the distance between the interview and the end of the ref erence period from less than 1 month to between 1 and 5 months;8 • fielding the survey for only 4 to 5 months out of the year instead of continuously, which increases turnover among the field staff and requires hiring and training a greater number of new field represen tatives each year; • losing the TMs but needing to retain much of their content; • confronting the likelihood that, absent the introduction of effective countermeasures, a high proportion of transitions will be reported in the first month of the reference period, which is January for all respondents; and • requiring field representatives to master the EHC module, which is the principal method of collecting monthly data for the lengthened reference period. In the face of all of these challenges, the Census Bureau launched a new survey at a time when the secular decline in survey response rates seemed to be accelerating (De Heer, 1999; Schoeni et al., 2013)
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The panel examined several of the methodological advances implemented in the 2014 SIPP, including model-based imputation, greater use of administrative data, and a continuation of incentive experiments. The panel also attempted to review recordings of SIPP interviews to examine potential reasons for seam effects in SIPP (Moore, 2008)
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There were considerable additional analyses that the panel would have liked to explore more closely, to better understand the causes of observed differences, but a tightly constrained timeline to finish the study required the panel to focus on just a subset of the overall analysis in Chapter 7. In the study panel's view, the Census Bureau staff worked hard to create the redesigned SIPP.
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