Indranil Goswami, Oleg Urminsky
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We present a complete empirical case study of fundraising decisions that demonstrates the importance of in-context field experiments. We first design novel matching-based fundraising appeals. We derive theory-based predictions from the standard impure altruism model and solicit expert opinion about the potential performance of our interventions. Both theory-based predictions and descriptive advice suggest improved fundraising performance from a framing intervention that credited donors for the matched funds (compared to a typical match framing). However, results from a natural field experiment with prior donors of a non-profit showed significantly poorer performance of this framing compared to a regularly framed matching intervention. This surprising finding was confirmed in a second natural field experiment, to establish the ground truth. Theoretically, our results highlight the limitations of both impure altruism models and of expert opinion in prediction complex "warm glow" motivation. More practically, our results question the availability of useful guidance, and suggest the indispensability of field testing for interventions in fundraising.
Basil Halperin, Benjamin Ho, John A List, Ian Muir
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We use a theory of apologies to analyze a nationwide field experiment involving 1.5 million Uber ridesharing consumers who experienced late rides. Several insights emerge. First, apologies are not a panacea: the efficacy of an apology and whether it may backfire depend on how the apology is made. Second, across treatments, money speaks louder than words - the best form of apology is to include a coupon for a future trip. Third, in some cases sending an apology is worse than sending nothing at all, particularly for repeated apologies. For firms, caveat venditor should be the rule when considering apologies.
Alec Brandon, John A List, Robert D Metcalfe, Michael K Price, Florian Rundhammer
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This study considers the response of household electricity consumption to social nudges during peak load events. Our investigation considers two social nudges. The first targets conservation during peak load events, while the second promotes aggregate conservation. Using data from a natural field experiment with 42,100 households, we find that both social nudges reduce peak load electricity consumption by 2 to 4% when implemented in isolation and by nearly 7% when implemented in combination. These findings suggest an important role for social nudges in the regulation of electricity markets and a limited role for crowd out effects.
John A List, Jeffrey A Livingston, Susanne Neckermann
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In the face of worryingly low performance on standardized test, offering students financial incentives linked to academic performance has been proposed as a potentially cost-effective way to support improvement. However, a large literature across disciplines finds that extrinsic incentives, once removed, may crowd out intrinsic motivation on subsequent, similar tasks. We conduct a field experiment where students, parents, and tutors are offered incentives designed to encourage student preparation for a high-stakes state test. The incentives reward performance on a separate low-stakes assessment designed to measure the same skills as the high-stakes test. Performance on the high-stakes test, however, is not incentivized. We find substantial treatment effects on the incented tests but no effect on the non-incented test; if anything, the incentives result in worse performance on the non-incented test. We also find evidence supporting the conclusion that the incentives crowd out intrinsic motivation to perform well on the non-incented test, but this effect is only temporary. One year later, students who had been in the incentives treatments perform better than those in the control on the same non-incented test.
Damon Clark, David Gill, Victoria Prowse , Mark Rush
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Will college students who set goals for themselves work harder and achieve better outcomes? In theory, setting goals can help present-biased students to mitigate their self-control problem. In practice, there is little credible evidence on the causal effects on goal setting for college students. We report the result of two field experiments that involved almost four thousand college students in total. One experiments asked treated students to set goals for performance in the course; the other asked treated students to set goals for a particular task (completing online practice exams). Task-based goals had robust positive effects on the level of task completion, and task-based goals also increased course performance. We also find that performance-based goals had positive but small effects on course performance. We use a theoretical framework that builds on present bias and loss aversion to interpret our results. Since task-based goal setting is low-cost, scalable and logistically simple, we conclude that our findings have important implications for educational practice and future research.
John A List
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"Putting Economic Research into Practice at Businesses (to Inform Science and Major Social Challenges)" Slides from ASSA NABE
John A List, Zacharias Maniadis, Fabio Tufano
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The sciences are in an era o fan alleged "credibility crisis'. In this study, we discuss the reproducibility of empirical results, focusing on economics research. By combining theory and empirical evidence, we discuss the import of replication studies, and whether they improve our confidence in novel findings. The theory sheds light on the importance of replications, even when replications are subject to bias. We then present a pilot meta-study of replication in experimental economics, a subfield serving as a positive benchmark for investigating the credibility of economics. Our meta-study highlights certain difficulties when applying meta-research (Ioannidis et al., 2015) and systematizing the economics literature.
Eszter Czibor, David Jimenez-Gomez, John A List
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What was once broadly viewed as an impossibility - learning from experimental data in economics - has now become commonplace. Governmental bodies, think tanks, and corporations around the world employ teams of experimental researchers to answer their most pressing questions. For their part, in the past two decades academics have begun to more actively partner with organizations to generate data via field experimentation. While this revolution in evidence-based approaches has served to deepen the economic science, recently a credibility crisis has caused even the most ardent experimental proponents to pause. This study takes a step back from the burgeoning experimental literature and introduces 12 actions that might help to alleviate this credibility crisis and raise experimental economics to an even higher level. In this way, we view our "12 action wish list" as discussion points to enrich the field.
Andreas Leibbrandt, John A List
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Labor force composition and the allocation of talent remain of vital import to modern economies. For their part, governments and companies around the globe have implemented equal employment opportunity (EEO) regulations to influence labor market flows. Even though such regulations are pervasive, surprisingly little is known about their impacts. We use a natural field experiment conducted across 10 U.S. cities to investigate if EEO statements in job advertisements affect the first step in the employment process, application rates. Making use of data from nearly 2,500 job seekers, we find considerable policy effects, but in an unexpected direction: the presence of an EEO statement dampens rather than encourages racial minorities willingness to apply for jobs. Importantly, the effects are particularly pronounced for educated job seekers and in cities with white majority populations. Complementary survey evidence suggests the underlying mechanism at work is "tokenism", revealing that EEO statements backfire because racial minorities avoid environments in which they are perceived as regulatory, or symbolic, hires rather than being hired on their own merits. Beyond their practical and theoretical importance, our results highlight how field experiments can significantly improve policy making. In this case, if one goal of EEO regulations is to enhance the pool of minority applicants, then it is not working.
Syon Bhanot
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Across domains, people struggle to follow through on their commitments. This can happen for many reasons, including dishonesty, forgetfulness, or insufficient intrinsic motivation. Social scientists have explored the reasons for persistent failures to follow through. suggesting that eliciting explicit promises can be an effective way to motivate action. This paper presents a field experiment that tests the effect of explicit promises, in the form of "honor pledges", on loan repayment rates. The experiment was conducted with LendUp, an online lender, and targeted 4,883 first time-borrowers with the firm. Individuals were randomized into four groups, with the following experimental treatments: (1) having no honor pledge to complete (control); (2) signing a given honor pledge; (3) re-typing the same honor pledge as in (2) before signing; and (4) coming up with a personal honor pledge to type and sign. I also randomized whether or not borrowers were reminded of the honor pledge they signed prior to repayment deadline. The results suggest that the honor pledge treatments had minimal impacts on repayment, and that reminders of the pledges were similarly ineffective. This suggests that borrowers who fail to repay loans do so not because of dishonesty or behavioral biases, but because they suffer from true financial hardship and are simply unable to repay.