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Activity Number:
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652
- Improving Efficiency and Maintaining High Data Quality: Outcomes for the 2017 Survey of Consumer Finances
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 3, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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Survey Research Methods Section
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Abstract #324277
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View Presentation
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Title:
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Propensity Modeling for Early Respondent Incentive Escalation
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Author(s):
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Kate Bachtell* and Catherine C Haggerty and Becki Curtis and Shannon Nelson and Joanne Hsu and Jesse Bricker and Kevin Moore
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Companies:
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NORC University of Chicago and NORC University of Chicago and NORC at the University of Chicago and NORC University of Chicago and Federal Reserve Board and Federal Reserve Board and Federal Reserve Board
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Keywords:
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survey ;
gaining cooperation ;
incentives ;
propensity modeling
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Abstract:
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To achieve a high response rate for the triennial Survey of Consumer Finances (SCF) amidst a national trend of declining participation in U.S. household surveys, researchers at the Board of Governors of the Federal Reserve System (FRB) and NORC at the University of Chicago (NORC) have historically offered escalated monetary incentives late in the field period and extended data collection beyond initial projections. A new strategy for the 2016 SCF involved using propensity modeling to inform respondent incentive escalation. We developed an "escalation need" score based on contact outcomes for the SCF and a measure of low response propensity from the Census Planning Database. In this paper we share our methodology for developing the escalation need score, incorporating the score in an algorithm to identify households that present the most challenges for data collection, and offering escalated incentives in a 2-staged release. We then examine results for the 2016 SCF and assess the utility of escalated incentives on the overall probability of survey completion.
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Authors who are presenting talks have a * after their name.
