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Abstract We describe the analysis plan for analysis of survey data, which is aimed at probing mechanisms as a followup to findings from a previous study that examines the relationship between prosocial behavior and others’ beliefs in witchcraft in the Democratic Republic of the Congo (Lowes and Nunn, 2018). As with the first study, participants will be individuals living in Gemena, a city in Sud-Ubangi province which is in northern DRC. Participants will complete a series of incentivized questions asking about how socially appro- priate most people in Gemena will view various actions in three experimental games that involve another player. For each hypothetical game, the other player is anonymous, but participants are given some information about them. They are informed of the other player’s age, sex, educational level, if from the same ethnic group, strength of belief in the Christian God, strength of belief in witchcraft, and whether the individual is from Gemena. The primary experimental treatment is that the other player is randomly assigned to have either a strong or weak belief in witchcraft. We outline the study design, the treatments, and the econometric strategy for the analysis. We describe the analysis plan for analysis of survey data, which is aimed at probing mechanisms as a followup to findings from a previous study that examines the relationship between prosocial behavior and others’ beliefs in witchcraft in the Democratic Republic of the Congo (Lowes and Nunn, 2018). As with the first study, participants will be individuals living in a city in Sud-Ubangi province which is in northern DRC. Participants will complete a series of incentivized questions asking about how socially appropriate most people in the city will view various actions in three experimental games that involve another player. For each hypothetical game, the other player is anonymous, but participants are given some information about them. They are informed of the other player’s age, sex, educational level, if from the same ethnic group, strength of belief in the Christian God, strength of belief in witchcraft, and whether the individual is from the city. The primary experimental treatment is that the other player is randomly assigned to have either a strong or weak belief in witchcraft. We outline the study design, the treatments, and the econometric strategy for the analysis. We will also expand our sample to include 50 villages in rural areas. We will administer the activities described in Lowes and Nunn, 2018, and also implement the activities described above.
Trial End Date November 30, 2019 December 31, 2021
Last Published October 22, 2019 11:22 AM November 22, 2021 08:28 PM
Intervention End Date November 30, 2019 December 15, 2021
Planned Number of Clusters We aim to follow up with our sample from 2018, which had 520 individuals. We aim to follow up with our sample from 2018, which had 520 individuals. We will also expand our sample. We will visit 50 rural villages and select a random sample of 12 villagers from each village for a rural sample of 600 individuals.
Planned Number of Observations We aim to follow up with our sample from 2018, which had 520 individuals. We aim to follow up with our sample from 2018, which had 520 individuals. The rural sample will be 600 individuals from 50 randomly selected villages.
Sample size (or number of clusters) by treatment arms Each individual is treated in the sense that they answer questions about how appropriate actions are in each game two times: one time when the other player has a strong belief in witchcraft and one time when the other player has a weak belief in witchcraft. We aim to follow up with our sample from 2018, which had 520 individuals. Each individual is treated in the sense that they answer questions about how appropriate actions are in each game two times: one time when the other player has a strong belief in witchcraft and one time when the other player has a weak belief in witchcraft. We aim to follow up with our sample from 2018, which had 520 individuals. We will also expand our sample to include 600 individuals from rural areas (12 villagers across 50 villages).
Keyword(s) Other Other
Building on Existing Work No
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Irbs

Field Before After
IRB Name Harvard University
IRB Approval Date May 29, 2020
IRB Approval Number IRB19-2059
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Other Primary Investigators

Field Before After
Affiliation Harvard University
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Field Before After
Affiliation CES
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