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Trial End Date February 27, 2023 March 31, 2023
Last Published January 23, 2023 08:02 AM February 20, 2023 11:11 AM
Intervention End Date February 27, 2023 March 31, 2023
Planned Number of Clusters at least 800 individuals about 1500 individuals
Planned Number of Observations 800 individuals (same as clusters); they will be recontacted four weeks later for a second endline. 1500 individuals (same as clusters); they will be recontacted four weeks later for a second endline.
Sample size (or number of clusters) by treatment arms The sample will be equally allocated to treatment and control - 400 treated, 400 control. Respondents will be allocated to treatments and control in equal shares - 500 T1, 500 T2, 500 C.
Power calculation: Minimum Detectable Effect Size for Main Outcomes Based on the outcome I have already measured (outcome 2, personal support for legal reform), the minimum detectable effect sizes of this experiment are reasonable: According to Haaland et al. (2020), the typical effect size in an informational experiment is about 15 percent of a standard deviation. For testing the null hypothesis that the treatment effect is 0, I obtain a minimum detectable effect size of 9.4 percentage points of a standard deviation (mean 0.345, SD 0.476), assuming N=800 equally allocated to T and C, ICC=0, alpha=0.05 and 80% power. Power for detecting heterogeneity in treatment effects according to misperceived second-order beliefs will be lower. Based on the distribution of second-order beliefs from my previous survey, I expect 25% of respondents to underestimate, 10% to guess correctly and 65% to overestimate support for reform. Assuming N=400 allocated to T and a ratio of 2.6 of respondents who overestimate vs. underestimate support, ICC=0, alpha=0.05 and beta=0.8, I would be able to detect a 14.9 percentage points of a standard deviation increase in support for legal reform. Based on the outcome I have already measured (outcome 2, personal support for legal reform), the minimum detectable effect sizes of this experiment are reasonable: According to Haaland et al. (2020), the typical effect size in an informational experiment is about 15 percent of a standard deviation. For testing the null hypothesis that the treatment effect is 0, I obtain a minimum detectable effect size of 8.4 percentage points of a standard deviation (mean 0.345, SD 0.476), assuming N=1000 equally allocated to T1 and C, ICC=0, alpha=0.05 and 80% power. Power for detecting heterogeneity in treatment effects according to misperceived second-order beliefs will be lower. Based on the distribution of second-order beliefs from my previous survey, I expect 25% of respondents to underestimate, 10% to guess correctly and 65% to overestimate support for reform. Assuming N=500 allocated to T and a ratio of 2.6 of respondents who overestimate vs. underestimate support, ICC=0, alpha=0.05 and beta=0.8, I would be able to detect a 13.4 percentage points of a standard deviation increase in support for legal reform.
Intervention (Hidden) All respondents are asked to guess how many Tunisians support reform of the current gender discriminatory inheritance law regime. After recording their guess, the enumerator will reveal the true percentage only to the respondents who are allocated to treatment (about 35%). Treated respondents are then given information on gifting as it is defined in the Tunisian legal code. They are told that gifting can be used for transferring assets to one’s daughter: By “gifting” their daughter, parents can arrange a more gender equitable inheritance split. All respondents are asked to guess how many Tunisians support reform of the current gender discriminatory inheritance law regime. After recording their guess, the enumerator will reveal the true percentage (about 35%) only to the respondents who are allocated to treatment 1. Respondents in treatment group 1 and 2 are then given information on gifting as it is defined in the Tunisian legal code. They are told that gifting can be used for transferring assets to one’s daughter: By “gifting” their daughter, parents can arrange a more gender equitable inheritance split.
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