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Laura Gee, Michael Schreck

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Charitable giving has been about 2% of US GDP since the turn of the century. A popular fundraising tool is donation matching where every dollar is matched by a third party. But field experiments find that matching does not always increase donations. This may occur because individuals believe that peer donors will exhaust the matching funds. We develop a theory of how beliefs about peers' donations affect one's own likelihood of donation. We test our theory using novel "threshold match" treatments in field and laboratory experiments. These treatments form small groups and offer a flat matching bonus if a threshold number of donations is received. One "threshold match" treatment more than doubles the donation rate in the field relative to no match. To better understand the mechanism behind this huge increase, we use a lab study to replicate the field results and further show that beliefs about peers' donations matter. Our theoretical, lab, and field results combined suggest people are more likely to donate when they believe they are more pivotal to securing matching money. Beliefs about others matter, and they should be taken into account when trying to increase donations.

Amanda Agan, Bo Cowgill, Laura Gee

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Correspondence audit studies have sent almost one-hundred-thousand resumes without informing subjects they are in a study - increasing realism, but without being fully transparent. We study the potential trade-offs of this lack of transparency by running a hiring field experiment with recruiters in a natural setting. One group of recruiters is told they are screening for an employer, and another is told they are part of an academic study. Job applicants' gender is randomly assigned. When subjects are told they are in an experiment, callback rates and willingness-to-pay for male candidates decline relative to female candidates (with no detectable change for female candidates). This suggests that telling subjects they are in an experiment would underestimate gender inequality.