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John A List
Cited by*: 16 Downloads*: 40 
This special issue highlights an empirical approach that has increasingly grown in prominence in the last decade--field experiments. While field experiments can be used quite generally in economics to test theories' predictions, to measure key parameters, and to provide insights into the generalizability of empirical results, this special issue focuses on using field experiments to explore questions within the economics of charity. The issue contains six distinct field experimental studies that investigate various aspects associated with the economics of charitable giving. The issue also includes a fitting tribute to one of the earliest experimenters to depart from traditional lab methods, Peter Bohm, who curiously has not received deep credit or broad acclaim. Hopefully this issue will begin to rectify this oversight.
John A List
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This review steps back from the burgeoning economics literature on measuring social preferences and considers more carefully the empirical evidence from the lab and the field. I place the claims from the ardent supporters of the literature into three bins: one for claims that are supported by the data upon closer scrutiny, one for claims that are not supported by the data upon closer scrutiny, and one for claims that may or may not be true. The third set of claims highlights important theoretical and empirical investigations that need to be done to further our understanding of the nature and import of social preferences.
John A List
Cited by*: 21 Downloads*: 14
Walrasian tatonnement has been a fundamental assumption in economics ever since Walrasian general equilibrium theory was introduced in 1874. Nearly a century after its introduction, Vernon Smith relaxed the Walrasian tatonnement assumption by showing that neoclassical competitive market theory explains the equilibrating forces in double-auction markets. I make a next step in this evolution by exploring the predictive power of neoclassical theory in decentralized naturally occurring markets. Using data gathered from two distinct markets--the sports card and collector pin markets--I find a tendency for exchange prices to approach the neoclassical competitive model prediction after a few market periods.
John A List
Cited by*: 70 Downloads*: 34
This study examines social preferences in three distinct field environments. In the first field setting, I allow consumers of all age and education levels to participate in one-shot and multiple-shot public goods games in a well-functioning marketplace. The second field study, an actual university capital campaign, gathers data from mail solicitations sent to 2,000 Central Florida residents. In the third field experiment, I examine data from an uncontrolled environment, a television gameshow, which closely resembles the classic prisoner's dilemma game. Several insights emerge; perhaps the most provocative is that age and social preferences appear linked.
John A List
Cited by*: 120 Downloads*: 86
Empirical studies have provided evidence that discrimination exists in various markets, but they rarely allow the analyst to draw conclusions concerning the nature of discrimination. By combining data from bilateral negotiations in the sportscard market with complementary field experiments, this study provides a framework that amends this shortcoming. The experimental design, which includes data gathered from more than 1100 market participants, provides sharp findings: (i) there is a strong tendency for minorities to receive initial and final offers that are inferior to those received by majorities, and (ii) overall, the data indicate that the observed discrimination is not due to animus, but represents statistical discrimination.
John A List
Cited by*: 12 Downloads*: 4
Previous studies of income distribution have found evidence indicating that incomes across U.S. regions have converged, supporting the prediction of the neoclassical growth model. A potential shortcoming in these studies is that only one measure of well-being is considered a measure of wealth linked to incomes or production. This paper examines whether income convergence was accompanied by air pollutant emission convergence. Results from unit root tests provide some evidence that indicators of environmental quality have converged across U.S. regions during the 1929-1994 period.
John A List
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This review summarizes the historical place of the seminal contribution of Kahneman et al. (1990), from origins to theory to catalyst of an entire area of scholarship. This new literature has produced evidence both in concert with the original KKT conclusions as well as evidence refuting certain insights from KKT. The general theme of my summary is that even imperfect papers can have deep impact, both within and outside the academy; a lesson that today's critics should consider as young experimentalists continue to fight the tyranny of the top 5.
John A List
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While empirical economics has made important strides over the past half century, there is a recent attack that threatens the foundations of the empirical approach in economics: external validity. Certain dogmatic arguments are not new, yet in some circles the generalizability question is beyond dispute, rendering empirical work as a passive enterprise based on frivolity. Such arguments serve to caution even the staunchest empirical advocates from even starting an empirical inquiry in a novel setting. In its simplest form, questions of external validity revolve around whether the results of the received study can be generalized to different people, situations, stimuli, and time periods. This study clarifies and places the external validity crisis into perspective by taking a unique glimpse into the grandest of trials: The External Validity Trial. A key outcome of the proceedings is an Author Onus Probandi, which outlines four key areas that every study should report to address external validity. Such an evaluative approach properly rewards empirical advances and justly recognizes inherent empirical limitations.
John A List
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In 2019, I put together a summary of data from my field experiments website that
pertained to artefactual field experiments. Several people have asked me if I have an
update. In this document I update all figures and numbers to show the details for 2021. I also include the description from the 2019 paper below.
John A List
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These are the slides from John A. List's keynote at the 2022 AFE conference.
John A List
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In 2019 I put together a summary of data from my field experiments website that pertained to framed field experiments. Several people have asked me if I have an update. In this document I update all figures and numbers to show the details for 2022. I also include the description from the 2019 paper below with appropriate additions
John A List
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Editor's Introduction to JPE Micro
John A List
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Presentation Slides
John A List
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ASSA 2023 presentation
John A List
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In 2019, I put together a summary of data from my field experiments website that pertained to artefactual field experiments. Several people have asked me if I have an update. In this document I update all figures and numbers to show the details for the year 2023. I also include the description from the 2019 paper below. The definition of artefactual field experiments comes originally from Harrison and List (2004) and is advanced in List (2024).
John A List
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Social scientists have increasingly turned to the experimental method to understand human behavior. One critical issue that makes solving social problems difficult is "scaling" the idea from a small group to a larger group in more diverse situations. The urgency of scaling policies impacts us every day, whether it is protecting the health and safety of a community or enhancing the opportunities of future generations. Yet, a common result is that when we scale ideas most experience a "voltage drop": upon scaling, the benefit-cost profile depreciates considerably. To combat voltage drops, we must optimally generate policy-based evidence. Optimality requires answering two crucial questions: what information to generate and in what sequence. The economics underlying the science of scaling provides insights into these questions, which are in some cases at odds with conventional approaches. For example, there are important situations wherein I advocate flipping the traditional social science research model to an approach that, from the beginning, produces the type of policy-based evidence that the science of scaling demands. To do so, I propose augmenting efficacy trials by including relevant tests of scale in the original discovery process, which forces the scientist to naturally start with a recognition of the big picture: what information do I need to haves caling confidence?
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
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This document is meant to introduce my forthcoming book, titled "Experimental Economics: Theory and Practice," which is to be published in 2025 by The University of Chicago Press. The document first contains the book's outline followed by a Preface, which summarizes my inspiration for writing the book and my goals and aspirations for choosing the content contained in the book.
John A. List
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The traditional approach in experimental economics is to use a between-subject design: the analyst places each unit in treatment or control simultaneously and recovers outcome differences via differencing conditional expectations. Within-subject designs represent a significant departure from this method, as the same unit is observed in both treatment and control conditions sequentially. While some might consider the design choice straightforward (always opt for a between-subject design), I contend that researchers should meticulously weigh the advantages and disadvantages of each design. In doing so, I propose a categorization for within-subject designs based on the plausibility of recovering an internally valid estimate. In one instance, which I denote as stealth designs, the analyst should unequivocally choose a within-subject design rather than a between-subject design.
John A. List
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Contingent valuation is a widely used method for estimating the value of nonmarket commodities. Yet, a persistent issue is whether responses to Contingent Valuation Method (CVM) questions accurately reflect true values. Recent studies indicate that hypothetical bias is a significant factor that creates a gap between intentions and actions. I use a novel approach within non-market valuation - a List Experiment in the field - to test whether it can attenuate the hypothetical bias observed within CVM surveys. Using data from 400 subjects in a field experiment, I find initial promising results.