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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. - PowerPoint PPT Presentation

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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

A.Some Facts about the Charity MarketB.Some Field Experiments

My goal: to teach you at least one thing that you didn’t realize you wanted to know.

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

What is the Size of the Charitable Market?What is the Size of the Charitable Market?

Source: Grenzebach Glier & Associates, Inc.

Individuals

Bequests Foundations

Corporations

1967-71

1972-76

1977-81

1982-86

1987-91

1992-96

1997-01

2002-06

551.47 563.91 597.70671.94 766.08

829.65

1,200.69

1,381.94

$ in billions

Dollars Given vs S&P500 over timeindexed to 1967

0.0

2.0

4.0

6.0

8.0

10.0

12.0

14.0

16.0

18.0

20.0

1967 1972 1977 1982 1987 1992 1997 2002 2007

Tota

l givi

ng

and

S&P

S&P500 Price Total giving

in nominal terms

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

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?

1. Secure a fraction of the money privately before going public.

What is the optimal fraction?

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%.

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

The Experiment

10,000 Households

Group 1: 10% seeds

Group 2: 33% seeds

Group 3: 67% seeds

Group 4: Control

Randomization

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.

A Next QuestionWould 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

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

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).

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

The Match Experiment

~50,000 Households

Group 1: 1:1 Match

Group 2: 2:1 Match

Group 3: 3:1 Match

Group 4: Control

Randomization

Insert into Reply Card

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!

Other Uses of Upfront Money

A. 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

B. Small and large donor gifts *Gifts work, but ROI is considerably higher for cold list

versus warm list people.

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

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.

Smile Train Example

Smile Train Example

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.”

Once and DoneIn 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

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

A Strategy

A. 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)

B. As the donor grows with you, greater gifts come via:

Agents who have positive income shocks

C. Prospective large donors are quite receptive to scientific knowledge concerning how to multiply gifts, or that their gift will lead create scientific knowledge.

Summing Up

Back to Tiger…….

Would Tiger practice like this?Would Tiger practice like this?

Tiger is a feedback maximizer—Tiger is a feedback maximizer—Try Strategies, Make Proper InferenceTry Strategies, Make Proper Inference

Narrow SwingNarrow Swing

Ball speed: 140 MPH

Ball speed: 140 MPH

Club head speed: 100

Club head speed: 100

Drive: 250 Yds, fairway.

Drive: 250 Yds, fairway.

Feedback Maximizing Feedback Maximizing

Wider SwingWider Swing

Ball speed: 160 MPH

Ball speed: 160 MPH

Club head speed: 105

Club head speed: 105

Drive: 330 Yds, fairway.

Drive: 330 Yds, fairway.

Four Easy Steps to Feedback Maximize

The Scientific Method as the Driving Force to Revolutionize this Sector

1. Always have a control group & randomize

2. Make informed decisions on number of treatments and sample size requirements

3. Understand how to analyze the data

4. Have a plan for building on past experimental results

32

One Plan: Learning About Using Upfront Money

1. UCF experience: Exploring the effects of seed money

2. Should one use seed money or matching grants?

Sierra Club field experiment:Seed money works slightly better than 1-1 match

3. Matching Experiment: 3-1 vs. 2-1 vs. 1-1 vs. baseline

4. Matching Experiment: 1-3 vs. 1-2 vs. 1-1 vs. baseline

5. Lotteries, then Gifts, then ??

Next Steps to Becoming a Feedback Maximizer

To help further develop your own plan, email my UAA colleagues or me:

John ListJList@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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