Finding Donors For CharityML
@kaggle.nancyalaswad90_finding_donors_for_charityml
@kaggle.nancyalaswad90_finding_donors_for_charityml
What is Finding Donors for CharityM Dataset?
Dataset that test how donors respond to new information about a charity’s effectiveness. Freedom from Hunger implemented a test of its direct marketing solicitations, varying letters by whether they include a discussion of their program’s impact as measured by scientific research. The base script, used for both treatment and control, included a standard qualitative story about an individual beneficiary. Adding scientific impact information has no effect on average likelihood of giving or average gift amount. However, we find important heterogeneity: large prior donors both are more likely to give and also give more, whereas small prior donors are less likely to give. This pattern is consistent with two different types of donors: warm glow donors who respond negatively to analytical effectiveness information, and altruism donors who respond positively to such information..
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Acknowledgments
When we use this dataset in our research, we credit the authors as :
License : CC0 1.0.
This data set is taken from Harvard Dataset- Innovations for Poverty Action Dataverse
The main idea for uploading this dataset is to practice data analysis with my students, as I am working in college and want my student to train our studying ideas in a big dataset, It may be not up to date and I mention the collecting years, but it is a good resource of data to practice
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Anyone who has the link will be able to view this.