Papers - John A List

Craig E Landry, Andreas Lange, John A List, Michael K Price, Nicholas G Rupp

Cited by*: 4 Downloads*: 0

Several recent laboratory experiments have shown that the use of explicit incentives--such as conditional rewards and punishment--entail considerable "hidden" costs. The costs are hidden in the sense that they escape our attention if our reasoning is based on the assumption that people are exclusively self-interested. This study represents a first attempt to explore whether, and to what extent, such considerations affect equilibrium outcomes in the field. Using data gathered from nearly 3000 households, we find little support for the negative consequences of control in naturally-occurring labor markets. In fact, even though we find evidence that workers are reciprocal, we find that worker effort is maximized when we use conditional--not unconditional--rewards to incent workers.

John A List, Julie Pernaudet, Dana L Suskind

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Socioeconomic inequalities in child development crystallize at early stages, with associated disparities in parental investment in children. A key to understanding the data patterns is to document the sources underlying the observed inequalities. We first show that there are dramatic differences in parental beliefs across socioeconomic backgrounds (SES), with parents of higher SES being more likely to believe that parental investments impact child development. We then use two field experiments targeted to low-SES families to explore the mutability of such beliefs and their link to parental investments. In both cases, we find that parental beliefs about child development are malleable. The less intensive version of the program based on educational videos changes parental beliefs, but fails to lastingly increase parental investments and child outcomes. By contrast, in the more intensive version of our program combining home visits and feedback, the augmented beliefs are associated with enriched parent-child interactions and improved vocabulary, math, and social-emotional skills for the children. Together, these results suggest that changing parental beliefs can be an important pathway to raising parental investments and reducing socioeconomic gaps in children's skills, but that simple informational policies may not be sufficient.

John A List, Matthias Rodemeier, Sutanuka Roy, Gregory Sun

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While behavioral non-price interventions ("nudges") have grown from academic curiosity to a bona fide policy tool, their relative economic efficiency remains under-researched. We develop a unified framework to estimate welfare effects of both nudges and taxes. We showcase our approach by creating a database of more than 300 carefully hand-coded point estimates of non-price and price interventions in the markets for cigarettes, influenza vaccinations, and household energy. While nudges are effective in changing behavior in all three markets, they are not necessarily the most efficient policy. We find that nudges are more efficient in the market for cigarettes, while taxes are more efficient in the energy market. For influenza vaccinations, optimal subsidies likely outperform nudges. Importantly, two key factors govern the difference in results across markets: i) an elasticity-weighted standard deviation of the behavioral bias, and ii) the magnitude of the average externality. Nudges dominate taxes whenever i) exceeds ii). Combining nudges and taxes does not always provide quantitatively significant improvements to implementing one policy tool alone.

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

Cited by*: 0 Downloads*: 43

An active area of research within the social sciences concerns the underlying motivation for sharing scarce resources and engaging in other pro-social actions. We develop a theoretical framework that sheds light on the developmental origins of social preferences by providing mechanisms through which parents transmit preferences for generosity to their children. Then, we conduct a field experiment with nearly 150 3-5 year old children and their parents, measuring (1) whether child and parent generosity is correlated, (2) whether children are influenced by their parents when making sharing decisions and (3) whether parents model generosity to children. We observe no correlation of independently measured parent and child sharing decisions at this young age. Yet, we find that apart from those choosing an equal allocation of resources between themselves and another child, children adjust their behaviors to narrow the gap with their parent's or other adult's choice. We find that fathers, and parents of initially generous children, increase their sharing when informed that their child will be shown their choice.

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

Cited by*: None Downloads*: None

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, Ian Muir, Devin Pope, Gregory Sun

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Left-digit bias (or 99-cent pricing) has been discussed extensively in economics, psychology, and marketing. Despite this, we show that the rideshare company, Lyft, was not using a 99-cent pricing strategy prior to our study. Based on observational data from over 600 million Lyft sessions followed by a field experiment conducted with 21 million Lyft passengers, we provide evidence of large discontinuities in demand at dollar values. Approximately half of the downward slope of the demand curve occurs discontinuously as the price of a ride drops below a dollar value (e.g. $14.00 to $13.99). If our short run estimates persist in the longer run, we calculate that Lyft could increase its profits by roughly $160M per year by employing a left-digit bias pricing strategy. Our results showcase the robustness of an important behavioral bias for a large, modern company and its persistence in a highly-competitive market.

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.

Yan Chen, Peter Cramton, John A List, Axel Ockenfels

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We review past research and discuss future directions on how the vibrant research areas of market design and behavioral economics have influenced and will continue to impact the science and practice of management in both the private and public sectors. Using examples from various auction markets, reputation and feedback systems in online markets, matching markets in education, and labor markets, we demonstrate that combining market design theory, behavioral insights, and experimental methods can lead to fruitful implementation of superior market designs in practice.

Craig Gallet, John A List

Cited by*: 0 Downloads*: 1

This paper uses market share data to infer the nature of rivalry in the U.S. cigarette industry over the 1934-94 period. Unlike previous studies, which measure rivalry from various constructs of market share instability, we examine the time-series properties of market shares to determine whether or not rivalry is evident. Our empirical results imply that a majority of firm-level market shares are martingales, suggesting market shares have been unstable from 1934-94. This result leads us to conclude that rivalry in the cigarette industry has remained strong.

John A List, Daniel Rondeau

Cited by*: 31 Downloads*: 11

This study designs a natural field experiment linked to a controlled laboratory experiment to examine the effectiveness of matching gifts and challenge gifts, two popular strategies used to secure a portion of the $200 billion annually given to charities. We find evidence that challenge gifts positively influence contributions in the field, but matching gifts do not. Methodologically, we find important similarities and dissimilarities between behavior in the lab and the field. Overall, our results have clear implications for fundraisers and provide avenues for future empirical and theoretical work on charitable giving.

Uri Gneezy, John A List, Jeffrey A Livingston, Xiangdong Qin, Sally Sadoff, Yang Xu

Cited by*: 1 Downloads*: 124

Tests measuring and comparing educational achievement are an important policy tool. We experimentally show that offering students extrinsic incentives to put forth effort on such achievement tests has differential effects across cultures. Offering incentives to U.S. students, who generally perform poorly on assessments, improved performance substantially. In contrast, Shanghai students, who are top performers on assessments, were not affected by incentives. Our findings suggest that in the absence of extrinsic incentives, ranking countries based on low-stakes assessments is problematic because test scores reflect differences in intrinsic motivation to perform well on the test itself, and not just differences in ability.

John A List, Warren McHone

Cited by*: 0 Downloads*: 9

In this article, we use annual (1980-90) county-level manufacturing plant location data for New York State to examine the effects of the 1977 Clean Air Act Amendments on the location decisions of new pollution-intensive manufacturing plants in the "neo-regulatory" (1980-84) and "mature-regulatory" (1985-90) phases of the Act's implementation. Our results suggest that the temporal effects of regulation vary. Whereas the location decisions of pollution intensive manufacturing firms were unaffected by the Act's regulatory restrictions in the "neo-regulatory" period, the restrictions appear to have had a significant negative impact on the location decisions of these types of firms in the Act's "mature-regulatory" phase. The diversion of new pollution intensive plants to counties with less stringent environmental regulations suggests that current US environmental regulations may be leading to a "browning process" whereby counties historically free of pollution become havens for polluters.

James Cox, John A List, Michael K Price, Vjollca Sadiraj, Anya Samek

Cited by*: 2 Downloads*: 123

The literature exploring other regarding behavior sheds important light on interesting social phenomena, yet less attention has been given to how the received results speak to foundational assumptions within economics. Our study synthesizes the empirical evidence, showing that recent work challenges convex preference theory but is largely consistent with rational choice theory. Guided by this understanding, we design a new, more demanding test of a central tenet of economics - the contraction axiom - within a sharing framework. Making use of more than 325 dictators participating in a series of allocation games, we show that sharing choices violate the contraction axiom. We advance a new theory that augments standard models with moral reference points to explain our experimental data. Our theory also organizes the broader sharing patterns in the received literature.

John A List, Azeem M Shaikh, Yang Xu

Cited by*: 33 Downloads*: 278

Empiricism in the sciences allows us to test theories, formulate optimal policies, and learn how the world works. In this manner, it is critical that our empirical work provides accurate conclusions about underlying data patterns. False positives represent an especially important problem, as vast public and private resources can be misguided if we base decisions on false discovery. This study explores one especially pernicious influence on false positives-multiple hypothesis testing (MHT). While MHT potentially affects all types of empirical work, we consider three common scenarios where MHT influences inference within experimental economics: jointly identifying treatment effects for a set of outcomes, estimating heterogenous treatment effects through subgroup analysis, and conducting hypothesis testing for multiple treatment conditions. Building upon the work of Romano and Wolf (2010), we present a correction procedure that incorporates the three scenarios, and illustrate the improvement in power by comparing our results with those obtained by the classic studies due to Bonferroni (1935) and Holm (1979). Importantly, under weak assumptions, our testing procedure asymptotically controls the familywise error rate - the probability of one false rejection - and is asymptotically balanced. We showcase our approach by revisiting the data reported in Karlan and List (2007), to deepen our understanding of why people give to charitable causes.

John A List, Azeem M Shaikh, Atom Vayalinkal

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List et al. (2019) provides a framework for testing multiple null hypotheses simultaneously using experimental data in which simple random sampling is used to assign treatment status to units. As in List et al. (2019), we rely on general results in Romano and Wolf (2010) to develop under weak assumptions a procedure that (i) asymptotically controls the familywise error rate – the probability of one or more false rejections – and (ii) is asymptotically balanced in that the marginal probability of rejecting any true null hypothesis is approximately equal in large samples. Our analysis departs from List et al. (2019) in that it further exploits observed, baseline covariates. The precise way in which these covariates are incorporated is based upon results in Ye et al. (2022) in order to ensure that inferences are typically more powerful in large samples.

Kazi Iqbal, Asad Islam, John A List, Vy Nguyen

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Whether, and to what extent, behavioral anomalies uncovered in the lab manifest themselves in the field remains of first order importance in finance and economics. We begin by examining behavior of retail traders/investors making investment decisions in constructed laboratory markets. Our results show that the behaviors of the traders are consistent with myopic loss aversion. We combine the lab results with a unique individual-level matched dataset on daily stock market transactions and portfolio positions over a two year period. We find that lab behaviors help to predict, but do not fully capture, the essential real-world trading analogs of retail traders.

John A List

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In 2019, I put together a summary of data from my field experiments website that pertained to natural field experiments (Harrison and List, 2024). Several people have asked me for updates. In this document I update all figures and numbers to show the details for 2023. I also include the description from the original paper below.

John A List

Cited by*: Downloads*:

In 2019, I put together a summary of data from my field experiments website that pertained to natural field experiments (Harrison and List, 2004). Several people have asked me for updates. In this document I update all figures and numbers to show the details for 2025. I also include the description from the original paper below.

Glenn W Harrison, John A List

Cited by*: 23 Downloads*: 10

There has been a dramatic increase in the use of experimental methods in the past two decades. An oft-cited reason for this rise in popularity is that experimental methods provide the necessary control to estimate treatment effects in isolation of other confounding factors. We examine the relevance of experimental findings from laboratory settings that abstract from the field context of the task that theory purports to explain. Using common value auction theory as our guide, we identify naturally occurring settings in which one can test the theory. In our treatments the subjects are not picked at random, as in lab experiments with student subjects, but are deliberately identified by their trading roles in the natural field setting. We find that experienced agents bidding in familiar roles do not fall prey to the winner's curse. Yet, when experienced agents are observed bidding in an unfamiliar role, we find that they frequently fall prey to the winner's curse. We conclude that the theory predicts field behavior well when one is able to identify naturally occurring field counterparts to the key theoretical conditions.

Glenn W Harrison, John A List, Charles Towe

Cited by*: 1 Downloads*: 29

Does individual behavior in a laboratory setting provide a reliable indicator of behavior in a naturally occurring setting? We consider this general methodological question in the context of eliciting risk attitudes. The controls that are typically employed in laboratory settings, such as the use of abstract lotteries, could lead subjects to employ behavioral rules that differ from the ones they employ in the field. Because it is field behavior that we are interested in understanding, those controls might be a confound in themselves if they result in differences in behavior. We find that the use of artificial monetary prizes provides a reliable measure of risk attitudes when the natural counterpart outcome has minimal uncertainty, but that it can provide an unreliable measure when the natural counterpart outcome has background risk. Behavior tended to be moderately risk averse when artificial monetary prizes were used or when there was minimal uncertainty in the natural nonmonetary outcome, but subjects drawn from the same population were much more risk averse when their attitudes were elicited using the natural nonmonetary outcome that had some background risk. These results are consistent with conventional expected utility theory for the effects of background risk on attitudes to risk.