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Field Before After
Last Published March 21, 2018 11:05 AM March 21, 2018 11:34 AM
Data Collection Complete Yes
Final Sample Size: Number of Clusters (Unit of Randomization) 2,774 respondents
Was attrition correlated with treatment status? No
Final Sample Size: Total Number of Observations 2,800 1,004 In full sample 1,770 In Single-visit study
Final Sample Size (or Number of Clusters) by Treatment Arms Note: Not all respondents are included in all treatment samples Savings Interventions: Saving Box = 370, Bank Account = 120, Controls = 514 Wallet Intervention: Wallet = 400, Controls = 604 Betting Info: Info = 576, Controls = 382 Lumpy Good Prime: Prime = 658, Control = 625, Both = 520 Budgeting Exercise Prime: Treat= 203, Control = 495
Data Collection Completion Date July 14, 2016
Intervention (Public) Two randomized interventions will be implemented. The first will target ex-ante mental accounting of sports betting expenditures. The second will provide information on betting performance to randomly selected study participants. In addition, two randomized primes will be embedded in the endline survey followed by a measurement of betting demand. The first prime will help to identify if betting demand is driven by demand for liquidity in pursuit of lumpy goods. The second will isolate whether betting demand is driven by hot states tied to sports excitement. Quasi-experimental methods will be utilized to examine what expenses betting crowds out among bettors as well as how wins are used. These, methods will exploit naturally occurring variation in the international football schedule as well as baseline dimensions of heterogeneity among the study population. Two randomized interventions will be implemented. The first will target ex-ante mental accounting of sports betting expenditures. The second will provide information on betting performance to randomly selected study participants. In addition, two randomized primes will be embedded in the endline survey followed by a measurement of betting demand. The first prime will help to identify if betting demand is driven by demand for liquidity in pursuit of lumpy goods. The second will isolate whether betting demand is driven by hot states tied to sports excitement. In the final round of data collection, an additional randomized prime was included that centered on budgeting for saving. Randomized budgeting exercises were conducted so that the effect of positive or negative updated perceptions of saving ability on betting demand could be measured. Quasi-experimental methods will be utilized to examine what expenses betting crowds out among bettors as well as how wins are used. These, methods will exploit naturally occurring variation in the international football schedule as well as baseline dimensions of heterogeneity among the study population.
Planned Number of Clusters 800 Budget improvements lead this to increase to a total of 2,774
Planned Number of Observations 800 individuals An increased budget allowed this number to increase to 1,004 for the full study. An additional 1,770 were included in an add-on single visit study.
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