Designing a Multipurpose Designing a Multipurpose Longitudinal Incentives Experiment for the SIPP Ashley Westra U.S. Census Bureau* U.S. Census Bureau DC-AAPOR & WSS: Summer Conference Preview/Review 2015 August 3 2015 August 3, 2015 *Any views expressed are those of the author and not necessarily those of the U.S. Census Bureau.
Overview Overview Background/Previous SIPP Incentive Experiments p SIPP 2014 Experiment Design D i Wave 1 Results Wave 2 Goals Future Plans Future Plans
The SIPP Survey The SIPP Survey The Survey of Income and Program Th S f I d P Participation (SIPP) is a demographic longitudinal survey that collects data and longitudinal survey that collects data and measures change for many topics, including: Economic Well-being Eco o c We be g Family Dynamics Education Assets Health Insurance Childcare Food Security
The SIPP Survey Design The SIPP Survey Design Previous Panels (1996, 2001, 2004, 2008) 3-5 year panels y p Conducted in waves, each 4 months long 4 equally sized rotation groups 4 equally sized rotation groups 2014 Panel 4 year panel Conducted in waves, each 1 year long Conducted in waves, each 1 year long No rotation groups
Previous SIPP Incentive Experiments Previous SIPP Incentive Experiments Since the 1996 Panel, SIPP has conducted several incentive tests of different types. yp Designed to test the effect of monetary incentives on overall response rates incentives on overall response rates.
Previous SIPP Incentive Experiments Previous SIPP Incentive Experiments Tested both conditional and unconditional Tested both conditional and unconditional incentives. Tested both random assignment as well as discretionary incentives discretionary incentives Experimented with the monetary amount of the incentive, with $10, $20, and $40 f th i ti ith $10 $20 d $40 being the typical choices.
Results of Previous Experiments Results of Previous Experiments 1996 P 1996 Panel l $20 (but not $10) unconditional incentives $20 (but not $10) unconditional incentives were effective in reducing household nonresponse in Wave 1 and this effect nonresponse in Wave 1, and this effect remained in later waves.
Results of Previous Experiments Results of Previous Experiments 2001 Panel For 7 out of 9 waves $40 conditional For 7 out of 9 waves, $40 conditional discretionary incentives increased response rates.
Results of Previous Experiments Results of Previous Experiments 2004 Panel Households that receive $40 discretionary H h ld th t i $40 di ti incentives are more likely to receive them in later waves.
Results of Previous Experiments Results of Previous Experiments 2008 Panel The Wave 1 $20 unconditional incentive $ effectively improved response rates in Waves 1-3 by 1.1-1.4% compared to the control. The discretionary $40 conditional incentive (in any wave) had an effect in Waves 7-9, i improving response rates by 1.6-3.1% i t b 1 6 3 1% compared to the control.
2014 Panel 2014 Panel – Experimental Design Experimental Design Households randomly Households randomly put into 1 of 4 equally Group Wave 1 Wave 2 sized groups ( ≈ 13,000 1 1 $0 $0 $0 $0 households). Conditional incentives 2 $0 $40 are distributed as debit di t ib t d d bit 3 $20 $0 cards by NPC. Testing the use of a Testing the use of a 4 4 $40 $40 (a) $40 (a) $40 propensity model to (b) $0 assign incentives in later g waves.
2014 Panel Wave 1 2014 Panel Wave 1 – Results Results Households were Group Wave 1 randomly assigned to $0, y g 1 1 $0 $0 $20, or $40 conditional 2 $0 incentives incentives. 3 $20 $20 increased the response rate by 1 2% rate by 1.2% 4 4 $40 $40 $40 increased the response rate by 3.5% b 3 5%
2014 Panel Wave 1 2014 Panel Wave 1 – Results Results Poverty Stratum While While Response Rates Distribution of Interviewed Incentive Low Non-Low Incentive Low Non-Low incentives Group Income Income Group Income Income 61% affected affected $0 71% 66% $0 38% 62% $20 $20 73% 73% 67% 67% $20 $20 39% 39% 61% response rates, $40 76% 68% $40 39% 61% 61% they did not ALL 72% 67% ALL 39% they did not affect the Urban/Rural Response Rates Distribution of Interviewed distribution of distribution of Incentive Incentive Incentive Incentive the Group Urban Rural Group Urban Rural $0 67% 71% $0 80% 20% 19% interviewed. interviewed. $20 68% 72% $20 81% $40 70% 74% $40 80% 20% ALL 68% 72% ALL 80% 20%
2014 Panel Wave 2 2014 Panel Wave 2 – Model Model Create a logistic regression model predicting the probability of response given certain household characteristics f i i h h ld h i i Census Region Group Wave 1 Wave 2 Age of Householder g Gender 1 $0 $0 Race 2 $0 $40 Hispanic Origin p g 3 $20 $0 Education Marital Status 4 $40 (a) $40 Income Income (b) $0 $ Work Status Assign incentives based on the predicted probabilities to improve coverage improve coverage.
2014 Panel Wave 2 2014 Panel Wave 2 – Tests Tests Effect of randomly Effect of randomly Group Wave 1 Wave 2 assigned incentives on 1 $0 $0 response rates response rates 2 $0 $40 Does the Wave 1 incentive effect carry-over to Wave ff t t W 3 3 $20 $20 $0 $0 2? 4 $40 (a) $40 4(b) vs. 1 (b) $0 3 vs. 1
2014 Panel Wave 2 2014 Panel Wave 2 – Tests Tests Effect of randomly Effect of randomly Group Wave 1 Wave 2 assigned incentives on 1 $0 $0 response rates response rates 2 $0 $40 What is the effect of duplicate incentives? d li t i ti ? 3 3 $20 $20 $0 $0 4(a) vs. 1 4 $40 (a) $40 4(a) vs. 4(b) (b) $0
2014 Panel Wave 2 2014 Panel Wave 2 – Tests Tests Effect of randomly Effect of randomly Group Wave 1 Wave 2 assigned incentives on 1 $0 $0 response rates response rates 2 $0 $40 What is the effect of a later incentive? i ti ? 3 3 $20 $20 $0 $0 2 vs. 1 4 $40 (a) $40 (b) $0
2014 Panel Wave 2 2014 Panel Wave 2 – Tests Tests Effectiveness of the propensity model in assigning incentives model in assigning incentives, Gro p Wa e 1 Wa e 2 Group Wave 1 Wave 2 conditional on Wave 1 1 $0 $0 incentives. For a given percentage of 2 $0 $40 households assigned a model- based incentive compare the based incentive, compare the 3 3 $20 $20 $0 $0 distributions and response 4 $40 (a) $40 rates of: 2 vs. 1 (b) $0 4(a) vs. 4(b)
2014 Panel Wave 3 Plans 2014 Panel Wave 3 Plans Depending on the results of Wave 2, we may decide to implement the propensity y p p p y model. We are concerned that the group of We are concerned that the group of households that received $40 incentives f for two consecutive waves will expect i ill them again. g
Thank you! Contacts: Ashley.M.Westra@census.gov Mahdi S Sundukchi@census gov Mahdi.S.Sundukchi@census.gov
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