The effects of religious scandals on religious participation and charitable giving — with an open dataset of U.S. Catholic clergy abuse scandals, mapped across space and time.
Replication data, interactive visualizations, and code for the published article.
We study how the U.S. Catholic clergy abuse scandals affected religious participation, religious beliefs, and pro-social behavior. To estimate the causal effects of the scandals on various outcomes, we conduct an event-study analysis that exploits the fine distribution of the scandals over space and time.
First, a scandal causes a significant and long-lasting decline in religious participation in the zip code where it occurs. Second, the decline in religious participation does not generate a statistically significant decline in religious beliefs, pro-social beliefs, and some commonly used measures of pro-social behavior — consistent with the view that changes in religious participation during adulthood may have limited or no effect on deep beliefs and values.
Third, the scandals cause a long-lasting decline in charitable contributions. Indeed, the decline in charitable giving is an order of magnitude larger than the direct costs of the scandals to the Catholic churches (e.g., lawsuits). If we assume that the scandals affect charitable giving only through the decline in religious participation, our estimates would suggest that the strong cross-sectional correlation between religious participation and charitable giving has the presumed direction of causality.
Everything needed to understand, use, extend, and replicate the scandals dataset.
How each scandal was hand-coded, geolocated, and dated — plus the full data dictionary and download files in several formats.
● LiveAn animated map of every scandal, 1948–2010. Play through time, pause, and click any point for details and its Bishop Accountability record.
● LiveEvent-level CSV / JSON / GeoJSON, plus aggregations by year, state, county, and zip code — ready for Stata, R, Python, or GIS.
● LiveOur roadmap for extending the dataset beyond 2010 — and how researchers can contribute corrections and additions.
◌ In progressShareable replication code and updated event-study estimates using modern estimators that address negative-weighting in two-way fixed effects.
◌ In progressThe authors behind the project, how the data and site came together, acknowledgements, and how to cite the work.
● Live