Papers - John A List

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.

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.

Omar Al-Ubaydli, John A List, Claire Mackevicius, Min Sok Lee, Dana L Suskind

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Policymakers are increasingly turning to insights gained from the experimental method as a means to inform large scale public policies. Critics view this increased usage as premature, pointing to the fact that many experimentally-tested programs fail to deliver their promise at scale. Under this view, the experimental approach drives too much public policy. Yet, if policymakers could be more confident that the original research findings would be delivered at scale, even the staunchest critics would carve out a larger role for experiments to inform policy. Leveraging the economic framework of Al-Ubaydli et al. (2019), we put forward 12 simple proposals, spanning researchers, policymakers, funders, and stakeholders, which together tackle the most vexing scalability threats. The framework highlights that only after we deepen our understanding of the scale up problem will we be on solid ground to argue that scientific experiments should hold a more prominent place in the policymaker's quiver.

Omar Al-Ubaydli, John A List

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Natural field experiments investigating key labour market phenomena such as unemployment have only been used since the early 2000s. This paper reviews the literature and draws three primary conclusions that deepen our understanding of unemployment. First, the inability to monitor workers perfectly in many occupations complicates the hiring decision in a way that contributes to unemployment. Second, the inability to determine a worker's attributes precisely at the time of hiring leads to discrimination on the basis of factors such as race, gender, age and ethnicity. This can lead to systematically high and persistent levels of unemployment for groups that face discrimination. Third, the importance of social and personal dynamics in the workplace can lead to short-term unemployment. Much of the knowledge necessary for these conclusions could only be obtained using natural field experiments due to their ability to combine randomized control with an absence of experimenter demand effects.

Omar Al-Ubaydli, John A List

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This is a review of the literature of field experimental studies of markets. The main results covered by the review are as follows: (1) Generally speaking, markets organize the efficient exchange of commodities; (2) There are some behavioral anomalies that impede efficient exchange; (3) Many behavioral anomalies disappear when traders are experienced.

Alexander G James, John A List, James J Murphy, Michael K Price

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We partnered with Alaska's Pick.Click.Give. Charitable Contributions Program to implement a statewide natural field experiment with 540,000 Alaskans designed to explore whether targeted appeals emphasizing donor benefits through warm glow impact donations. Results highlight the relative import of appeals to self. Individuals who received such an appeal were 4.5 percent more likely to give and gave 20 percent more than counterparts in the control group. Yet, a message that instead appealed to recipient benefits had no effect on average donations relative to the control group. We also find evidence of long-run effects of warm glow appeals in the subsequent year.

Annika List, John A List, Anya Samek

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Social scientists for years have documented the pervasiveness of discrimination in product and labor markets. While the literature has recently attempted to measure the nature of such discrimination, much less work has been done exploring the origins of discrimination. We make a modest step in this direction by reporting data from a field experiment attempting to measure discrimination amongst 3-5 years olds. Using a design that isolated discriminatory behaviors in economic games, we find that both White and Hispanic children send more resources to Black children than White children, whereas black children send equal amounts. This provides a first glimpse that suggests preferences amongst the young do not show similar patterns as preferences of adults.

John A List

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No abstract available

Omar Al-Ubaydli, John A List, Dana L Suskind

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Policymakers are increasingly turning to insights gained from the experimental method as a means of informing public policies. Whether-and to what extent-insights from a research study scale to the level of the broader public is, in many situations, based on blind faith. This scale-up problem can lead to a vast waste of resources, a missed opportunity to improve people's lives, and a diminution in the public's trust in the scientific method's ability to contribute to policymaking. This study provides a theoretical lens to deepen our understanding of the science of how to use science. Through a simple model, we highlight three elements of the scale-up problem: (1) when does evidence become actionable (appropriate statistical inference); (2) properties of the population; and (3) properties of the situation. We argue that until these three areas are fully understood and recognized by researchers and policymakers, the threats to scalability will render any scaling exercise as particularly vulnerable. In this way, our work represents a challenge to empiricists to estimate the nature and extent of how important the various threats to scalability are in practice, and to implement those in their original research.

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, 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.

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.

John A List

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No abstract available

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.

Greer K Gosnell, John A List, Robert D Metcalfe

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Increasing evidence indicates the importance of management in determining firms' productivity. Yet, causal evidence regarding the effectiveness of management practices is scarce, especially for high-skilled workers in the developed world. In an eight-month field experiment measuring the productivity of captains in the commercial aviation sector, we test four distinct management practices: (i) performance monitoring; (ii) performance feedback; (iii) target setting; and (iv) prosocial incentives. We find that these management practices -particularly performance monitoring and target setting- significantly increase captains' productivity with respect to the targeted fuel-saving dimensions. We identify positive spillovers of the tested management practices on job satisfaction and carbon dioxide emissions, and captains overwhelmingly express desire for deeper managerial engagement. Both the implementation and the results of the study reveal an uncharted opportunity for management researchers to delve into the black box of firms and rigorously examine the determinants of productivity amongst skilled labor.

Bharat Chandar, Ali Hortacsu, John A List, Ian Muir, Jeffrey M Wooldridge

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Field experiments conducted with the village, city, state, region, or even country as the unit of randomization are becoming commonplace in the social sciences. While convenient, subsequent data analysis may be complicated by the constraint on the number of clusters in treatment and control. Through a battery of Monte Carlo simulations, we examine best practices for estimating unit-level treatment effects in cluster-randomized field experiments, particularly in settings that generate short panel data. In most settings we consider, unit-level estimation with unit fixed effects and cluster-level estimation weighted by the number of units per cluster tend to be robust to potentially problematic features in the data while giving greater statistical power. Using insights from our analysis, we evaluate the effect of a unique field experiment: a nationwide tipping field experiment across markets on the Uber app. Beyond the import of showing how tipping affects aggregate outcomes, we provide several insights on aspects of generating and analyzing cluster-randomized experimental data when there are constraints on the number of experimental units in treatment and control.

Avner Ben-Ner, John A List, Louis Putterman, Anya Samek

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An active area of research within the social sciences concerns the underlying motivation for sharing resources and engaging in other pro-social actions. In this paper we ask: do parents model social preference behavior to children, and do children emulate this behavior? We develop a theoretical framework to examine this question, and conduct an experiment with 147 3 to 5 year old children and their parents, using dictator games to measure generosity. We find (1) evidence of parental teaching/modeling in the case of fathers and in that of parents of relatively generous children, and (2) an emulation effect such that children who initially share less than half of their endowment subsequently share more the more they see a parent or other adult share. We find little correlation between baseline sharing of children and the parents, with the possible exception of the oldest children.

John A List, Fatemeh Momeni

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We use a natural field experiment in which we hired over 2000 workers from an online labor market to explore how upfront payment affects worker motivation and misbehavior on the job. We start with a simple theory that shows paying upfront can increase misbehavior through reducing the perceived costs of cheating, but it can decrease misbehavior through generating a gift-exchange effect. Motivated by the theory, we designed a task that provided workers with opportunities to reciprocate or misbehave. A unique aspect of our design is that we are permitted an opportunity to measure the curvature of the gift-exchange value of the upfront payment. Our results suggest paying workers upfront induces a gift-exchange effect that is concave in the share of total wage paid upfront. Moreover, the impact is strong enough to suggest that small upfront payments are a cost-effective means for an employer to curb employee misbehavior.

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.

Christopher Cotton, Brent R Hickman, John A List, Joseph Price, Sutanuka Roy

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We conduct a field experiment across three diverse school districts to structurally identify student motivation and study productivity parameters in a model of adolescent human capital development. By observing study time, homework task completion, and test results, we can identify individual and demographic variations in motivation and study time effectiveness. Struggling students typically do not lack motivation but rather struggle to convert study time into completed assignments and proficiency improvements. The study also attending a higher-performing school is associated with both higher productivity and higher motivation relative to peers with similar observables in lower-performing schools. Counterfactual analyses estimates that school quality differences account for a substantial share of the racial differences in test scores, and considers the impact of alternative policies aimed at reducing racial performance gaps.