John A. List, Haruka Uchida
Cited by*: None Downloads*: None

An unsettling stylized fact is that decorated early childhood education programs improve cognitive skills in the short-term, but lose their efficacy after a few years. We implement a field experiment with two stages of randomization to explore the underpinnings of the fade-out effect. We first randomly assign preschool access to children, and then partner with the local school district to randomly assign the same children to classmates throughout elementary school. We find that the fade-out effect is critically linked to the share of classroom peers assigned to preschool access-with enough treated peers the classic fade-out effect is muted. Our results highlight a paradoxical insight: while the fade-out effect has been viewed as a devastating critique of early childhood programs, our results highlight that fade-out is a key rational for providing early education to all children. This is because human capital accumulation is inherently a social activity, leading early education programs to deliver their largest benefits at scale when everyone receives such programs.
Pradhi Aggarwal, Alec Brandon, Ariel Goldszmidt, Justin Holz, John A List, Ian Muir, Gregory Sun, Thomas Yu
Cited by*: None Downloads*: None

Prior research finds that, conditional on an encounter, minority civilians are more likely to be punished by police than white civilians. An open question is whether the actual encounter is related to race. Using high-frequency location data of rideshare drivers operating on the Lyft platform in Florida, we estimate the effect of driver race on traffic stops and fines for speeding. Estimates obtained across traditional and machine learning approaches show that, relative to a white driver traveling the same speed, minorities are 24 to 33 percent more likely to be stopped for speeding and pay 23 to 34 percent more in fines. We find no evidence that these estimates can be explained by racial differences in accident and re-offense rates. Our study provides key insights into the total effect of civilian race on outcomes of interest and highlights the potential value of private sector data to help inform major social challenges.
Steven D Levitt, John A List
Cited by*: 38 Downloads*: 65

No abstract available
John A List
Cited by*: 4 Downloads*: 46

No abstract available
Nava Ashaf, Dean S Karlan, Wesley Yin
Cited by*: 0 Downloads*: 9

Commitment devices for savings could benefit those with self-control as well as familial or spousal control issues. We find evidence to support both motivations. We examine the impact of a commitment savings product in the Philippines on household decision making power and self-perception of savings behavior, as well as actual savings. The product leads to more decision making power in the household for women, and likewise more purchases of female-oriented durable goods. We also find that the product leads women who appear time-inconsistent in a baseline survey to self-report being a disciplined saver in the follow-up survey. For impact on savings balances, we find that the 81% increase in savings after one year did not crowd out savings held outside of the participating bank, but that the longer-term impact over two and a half years on bank savings dissipated to only a 33% increase, which is no longer statistically significant. We discuss reasons why the effect dissipated and the implications for designing and implementing sustainable, equilibrium-shifting interventions.
Vic Adamowicz, Jonathan E Alevy, John A List
Cited by*: 0 Downloads*: 10

Psychological insights have made inroads within most major areas of study in economics. One area where less advance has been made is environmental and resource economics. In this study, we examine the implications of preference reversals over evaluation modes, in which stated economic values critically depend on whether the good is valued jointly with others or in isolation. The question arises because two commonly used methods for eliciting stated preferences differ in that one presents objects together and another presents objects to be evaluated in isolation. Beyond showing an example of the import of behavioral economics, our empirical evidence sheds new light on the factors associated with insensitivity of valuations to the scope of the good
Dean S Karlan, John A List
Cited by*: 0 Downloads*: 29

We conducted two matching grant experiments with an international development charity. The primary experiment finds that a matching grant from the Bill and Melinda Gates Foundation raises more funds than a matching grant from an anonymous donor. The effect persists, and is strongest for donors who previously gave to other poverty-oriented charities. Combining these insights with survey results, we conclude that our matching gift primarily works through a quality signal mechanism. Overall, the results help to clarify why people give to charity, what models help to describe those motivations, and how practitioners can leverage economics to increase their fundraising potential.
Omar Al-Ubaydli, John A List, Claire Mackevicius, Min Sok Lee, Dana L Suskind
Cited by*: None Downloads*: None

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.
John A List
Cited by*: None Downloads*: None

ASSA 2023 presentation
Juan-Camilo Cardenas
Cited by*: 2 Downloads*: 58

The use of experimental settings to observe human behaviour in a controlled environment of incentives, rules and institutions, has been widely used by the behavioural sciences for some time now, particularly by psychology and economics. In most cases the subjects are college students recruited from one to two hour decision making exercises in which, depending on their choices, they earn cash averaging US$ 20. In such exercises players face a set of feasible actions, rules and incentives (payoffs) involving different forms of social exchange with other people, and that in most cases involve some kind of externalities with incomplete contracts, such as in the case of common-pool resources situations. Depending on the ecological and institutional settings, the resource users face a set of feasible levels of extraction, a set of rules regarding the control or monitoring of individual use, and sometimes ways of imposing material or non-material costs or rewards to those breaking or following the rules. We brought the experimental lab to the field and invited about two hundred users of natural resources in three Columbian rural villages to participate in such decision making exercises and through these and other research instruments we learned about the ways they solve - or fail to - tragedies of the commons with different social institutions. Further, bringing the lab to the field allowed us to explore some of the limitations of existing models about human behavior and its consequences for designing policies for conserving ecosystems and improving social welfare.
David H Reiley, Anya Samek
Cited by*: 5 Downloads*: 47

Direct mail fundraisers commonly provide a set of suggested donation amounts to potential donors, in addition to the option of writing in an amount. Yet little systematic evidence exists about the causal effects of suggested donation amounts on giving behavior. To this end, we conducted a field experiment on a direct mail solicitation to nearly 15,000 members of three public broadcasting stations. We varied (1) the vector of suggested amounts, and (2) whether the suggested amounts were fixed or varied as a proportion of the individual's previous donation. We find that increasing the vector of suggested amounts by about 20 percent statistically significantly reduces the overall probability of giving by about 15 percent. The overall impact on revenue is less clear, but appears to be somewhat negative. Higher suggested amounts also lead to write in amounts representing a greater proportion of donations. We attribute our result to the apparent cognitive cost of writing in a preferred amount that differs from a suggested amount. A second field experiment, in which we alter only one of the suggested amounts, gives evidence consistent with that theory and with the idea that donors prefer to give round numbers, as we see donors significantly more likely to give amounts of $90 or higher when suggested $100 versus $95.
Lenka Fiala, John Eric Humphries, Juanna S Joensen, Uditi Karna, John A List, Gregory Veramendi
Cited by*: None Downloads*: None

Leveraging data from Sweden and Chicago, we study the educational pipeline for STEM and economics majors to better understand the determinants of the gender gap, and when these determinants arise. We present three findings. First, females are less likely to select STEM courses in high school, despite equal or better preparation. Second, there are important gender differences in preferences and beliefs, even conditional on ability. Third, early differences in preferences and beliefs explain more of the gaps in high school sorting than other candidate variables. High school sorting then explains a large portion of the gender difference in college majors.
John A List, Daniel M Sturm
Cited by*: 3 Downloads*: 1

In this paper we explore to what extent secondary policy issues are influenced by electoral incentives. We develop a political agency model in which a politician decides on both a frontline policy issue, such as the level of public spending, and a secondary policy issue, such as environmental policy. The model shows under which conditions the incumbent finds it worthwhile to manipulate the secondary policy to attract additional votes to his platform. We test the predictions of the model using state-level panel data on Gubernatorial environmental policy choices over the years 1960-2000. In contrast to the popular view that choices on secondary policy instruments are largely determined by lobbying, we find strong effects of electoral incentives on environmental policy.
John A List, Ragan Petrie, Anya Samek
Cited by*: None Downloads*: None

In the past several decades the experimental method has lent deep insights into economics. One surprising area that has contributed is the experimental study of children, where advances as varied as the evolution of human behaviors that shape markets and institutions to how early life influences shape later life outcomes have been explored. We first develop a framework for economic preference measurement that provides a lens into how to interpret data from experiments with children. Next, we survey work that provides general empirical insights within our framework. Finally, we provide 10 tips for pulling off experiments with children, including factors such as taking into account child competencies, causal identification, and logistical issues related to recruitment and implementation. We envision the experimental study of children as a high growth research area in the coming decades as social scientists begin to more fully appreciate that children are active participants in markets who (might) respond predictably to economic incentives.
John A List
Cited by*: None Downloads*: None

This review summarizes results of field experiments examining individual behaviors across several market settings from - open-air markets to rideshare markets to tax-compliance markets - where people sort themselves into market roles wherein they make consequential decisions. Using three distinct examples from my own research on the endowment effect, left-digit bias, and omission bias, I showcase how field experiments can help researchers understand mediators, heterogeneity, and causal moderation involved in judgment biases in the field. In this manner, the review highlights that economic field experiments can serve an invaluable intellectual role alongside traditional laboratory research.
Omar Al-Ubaydli, John A List
Cited by*: None Downloads*: None

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.
Julian Conrads, Bernd Irlenbusch, Tommaso Reggiani, Rainer M Rilke, Dirk Sliwka
Cited by*: 0 Downloads*: 38

How to hire voluntary helpers? We shed new light on this question by reporting a field experiment in which we invited 2859 students to help at the 'ESA Europe 2012' conference. Invitation emails varied non-monetary and monetary incentives to convince subjects to offer help. Students could apply to help at the conference and, if so, also specify the working time they wanted to provide. Just asking subjects to volunteer or offering them a certificate turned out to be significantly more motivating than mentioning that the regular conference fee would be waived for helpers. By means of an online-survey experiment, we find that intrinsic motivation to help is likely to have been crowded out by mentioning the waived fee. Increasing monetary incentives by varying hourly wages of 1, 5, and 10 Euros shows positive effects on the number of applications and on the working time offered. However, when comparing these results with treatments without any monetary compensation, the number of applications could not be increased by offering money and may even be reduced.
Stefan Luckner, Christof Weinhardt
Cited by*: 9 Downloads*: 12

The results of recent studies on prediction markets are encouraging. Prior experience demonstrates that markets with different incentive schemes predicted uncertain future events remarkably accurately. In this paper, we study the impact of different monetary incentives on prediction accuracy in a field experiment. In order to do so, we compare three groups of traders, corresponding to three treatments with different payment schemes, in a prediction market for the FIFA World Cup 2006. Somewhat surprisingly, our results show that performance-related payment schemes do not necessarily increase the prediction accuracy. Due to the risk aversion of traders the competitive environment in a rank-order tournament leads to the best results in terms of prediction accuracy.
John A List, Michael Margolis, Jason F Shogren
Cited by*: 8 Downloads*: 6

Evidence suggests the calibration of hypothetical and actual behavior is good-specific. We examine whether clustering commodities into mutual categories can reduce the burden. While we reject a common calibration across sets of commodities, a sport-specific calibration function cannot be rejected.
John A List, Michael Margolis, Jason F Shogren
Cited by*: 3 Downloads*: 0

Evidence suggests the calibration of hypothetical and actual behavior is good-specific. We examine whether clustering commodities into mutual categories can reduce the burden. While we reject a common calibration across sets of commodities, a sport-specific calibration function cannot be rejected.