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Would Tiger Woods practice like this?

Would Tiger Woods practice like this?. Using Field Experiments to Understand Charitable Giving. John A. List University of Chicago Some Facts about the Charity Market Some Field Experiments My goal: to teach you at least one thing that you didn’t realize you wanted to know.

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Would Tiger Woods practice like this?

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  1. Would Tiger Woods practice like this?

  2. Using Field Experiments to Understand Charitable Giving John A. List University of Chicago Some Facts about the Charity Market Some Field Experiments My goal: to teach you at least one thing that you didn’t realize you wanted to know.

  3. Co-Author ‘Shout Out’ David Reiley, Mike Price, Andreas Lange, Dean Karlan, Craig Landry, Nick Rupp, Steve Levitt, Chad Syverson, Amee Kamdar, Brian Mullaney, & Daniel Rondeau

  4. What is the Size of the Charitable Market? 1,381.94 1,200.69 $ in billions 829.65 766.08 671.94 597.70 551.47 563.91 1992-96 1967-71 1972-76 1977-81 1982-86 1987-91 1997-01 2002-06 Individuals Bequests Foundations Corporations Source: Grenzebach Glier & Associates, Inc.

  5. Another Fact “There is an extraordinary amount of money available. The lack is of good ideas on how to get the basket under the apple tree” The Economist, July 31st, 2004, p. 57. >>Fundraisers have relied more on anecdotes than science

  6. Moving from Anecdotes to Facts UCF experience in 1998 A first major question: if I am in need of resources for a large capital project, what are the first steps? • Secure a fraction of the money privately before going public. What is the optimal fraction?

  7. Seed Money Most capital campaigns do not kick off publicly until a substantial amount of seed money has been promised in a “quiet” period. UW’s Kohl Center ($27M of $72M) The Fundraising School (1999) recommends that “40% to 50% of the goal” be pledged before the public campaign begins. Other handbooks recommend figures between 20% and 50%.

  8. Experimental Idea Use direct mail solicitation and split the campaign into several smaller capital campaigns, randomizing households into various seed levels. We operationalized this idea by asking potential donors to fund computers needed at CEPA

  9. The Experiment 10,000 Households Randomization Group 1: 10% seeds Group 2: 33% seeds Group 4: Control Group 3: 67% seeds

  10. Experimental Results We found that seed money works well to increase contributions: more seeds, more gifts. More people gave and those who were going to give anyway gave more. Results were consistent with a signaling model whereby the seeds signaled the value or credibility of the program.

  11. A Next Question Would we have been better off using the upfront money as a match rather than simply announcing we had seed money? * We have just secured $1 million from Bill Gates, now we just need to raise more money or ** Bill Gates has given us $1 million to use for matching: for every $1 you give we will match with a Gates’ $1

  12. Seeds vs. Matching We used a simple experiment with the Sierra Club of Canada: 4 treatment (2 controls, seed, matching) mail solicitation for funds to start a green teaching program in grammar schools. Findings: Contributions in the seed money and matching grant treatments are significantly higher than those in the control treatments Seeds slightly outperform matching

  13. What about Match Rates? Dove (p. 15, 2000) warns that one should: “never underestimate the power of a challenge gift” and that “obviously, a 1:1 match—every dollar that the donor gives is matched by another dollar—is more appealing than a 1:2 challenge…..and a richer challenge (2:1) greatly adds to the match’s attractiveness.” A recent $50 million challenge grant gift to Drake University, which was among the forty largest gifts in U.S. history to an institution of higher education by an individual, was used to spur further gifts through 2:1 and 3:1 matching solicitations (Dove, 2000).

  14. Match Test • National liberal non-profit in the United States, political & socially oriented work • Sends letters regularly to prior donors (and acquisition mailers) • Anonymous donor with matching funds and desire to know how best to stir up further funding • 50,083 letters sent in August, 2005, following natural approach • Main treatments: • Match ratio: $3:1, $2:1, $1:1, no match • Maximum match amount: $100k, $50k, $25k, unstated

  15. The Match Experiment ~50,000 Households Randomization Group 1: 1:1 Match Group 2: 2:1 Match Group 4: Control Group 3: 3:1 Match

  16. Insert into Reply Card

  17. Results 19% more money raised per letter in the matching treatments • The effect occurs entirely on the extensive, rather than intensive margin: Response rate was 22% higher in matching treatments • No additional response from higher ratios: 3-1, 2-1, and 1-1 perform similarly!

  18. Other Uses of Upfront Money To purchase prizes for auctions or lotteries *Linking donation to a probability of winning a prize can considerably increase giving rates: largely due to extensive margin Small and large donor gifts *Gifts work, but ROI is considerably higher for cold list versus warm list people.

  19. 5 Lessons Learned 1. Most givers are not buying a private good when they donate 2. Non-price incentives can have strong effects on givers Use of a small donor gift can substitute for a warm-list 3. Long-run fundraising success depends on incentives used to attract first-time donors Some types of incentives might crowd out reasons for giving in the future

  20. 5 Lessons Learned 4. One size fits all campaigns likely leaving dollars on the table. Men are more price sensitive than women. Women give more due to altruism and social pressure. 5. Insights from Behavioral Economics can help you raise more money.

  21. Smile Train Example

  22. Smile Train Example

  23. Smile Train Example “Give Now and We Will Never Bother You Again” Over several years we have touched more than 800,000 people in a mail solicitation saying: “Make one gift now and we'll never ask for another donation again if you check this box.”

  24. Once and Done In our very first experiment, once and done raised: more money: $60,134 vs. $20,651 34% of people check box Many more people gave in the future and they gave much more ($51,864 vs. $34,865) In our typical drive, gifts are about 100% higher initially, and future streams are roughly similar across once and done and baseline

  25. What about the bigger fish? Most organizations do not let us near them! But, one group has: Chicago Booth School of Business *More price sensitive than other donors

  26. A Strategy • Small donors become bigger donors over time. • Effective recruiting at an early stage sets the wheels in motion for larger gifts later in the life cycle. • Empirical evidence suggests that a charity can induce donors to form a ‘habit’ of giving (this is for small gifts of, say $20, and volunteerism in other cases) • As the donor grows with you, greater gifts come via: • Agents who have positive income shocks • Prospective large donors are quite receptive to scientific knowledge concerning how to multiply gifts, or that their gift will lead create scientific knowledge.

  27. Summing Up Back to Tiger…….

  28. Would Tiger practice like this?

  29. Tiger is a feedback maximizer—Try Strategies, Make Proper Inference Narrow Swing Club head speed: 100 Drive: 250 Yds, fairway. Ball speed: 140 MPH

  30. Feedback Maximizing Wider Swing Club head speed: 105 Drive: 330 Yds, fairway. Ball speed: 160 MPH

  31. Four Easy Steps to Feedback Maximize The Scientific Method as the Driving Force to Revolutionize this Sector Always have a control group & randomize Make informed decisions on number of treatments and sample size requirements Understand how to analyze the data Have a plan for building on past experimental results

  32. One Plan: Learning About Using Upfront Money • UCF experience: Exploring the effects of seed money • Should one use seed money or matching grants? Sierra Club field experiment: Seed money works slightly better than 1-1 match • Matching Experiment: 3-1 vs. 2-1 vs. 1-1 vs. baseline • Matching Experiment: 1-3 vs. 1-2 vs. 1-1 vs. baseline • Lotteries, then Gifts, then ??

  33. Next Steps to Becoming a Feedback Maximizer To help further develop your own plan, email my UAA colleagues or me: John List JList@uchicago.edu If you Google me I am not related to the ‘horrible’ John List! Why Economists Should Run Field Experiments and 14 Tips for Pulling One Off Journal of Economic Perspectives 2011 Summer

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