Papers - John A List

Craig E Landry, John A List

Cited by*: 35 Downloads*: 17

While contingent valuation remains the only option available for measurement of total economic value of nonmarketed goods, the method has been criticized due to its hypothetical nature. We analyze field experimental data to evaluate two ex ante approaches to attenuating hypothetical bias, directly comparing value statements across four distinct referenda: hypothetical, "cheap talk," "consequential," and real. Our empirical evidence suggests two major findings: hypothetical responses are significantly different from real responses; and responses in the consequential and cheap talk treatments are statistically indistinguishable from real responses. We review the potential for each method to produce reliable results in the field.

Eric Floyd, John A List

Cited by*: 2 Downloads*: 49

The gold standard in the sciences is uncovering causal relationships. A growing literature in economics utilizes field experiments as a methodology to establish causality between variables. Taking lessons from the economics literature, this study provides an "A-to-Z" description of how to conduct field experiments in accounting and finance. We begin by providing a user's guide into what a field experiment is, what behavioral parameters field experiments identify, and how to efficiently generate and analyze experimental data. We then provide a discussion of extant field experiments that touch on important issues in accounting and finance, and we also review areas that have ample opportunities for future field experimental explorations. We conclude that the time is ripe for field experimentation to deepen our understanding of important issues in accounting and finance.

John A List, Michael K Price

Cited by*: 3 Downloads*: 6

This study showcases the usefulness of field experiments to the study of environmental and resource economics. Our focus pertains to work related to field experiments in the area of 'behavioral' environmental and resource economics. Within this rubric, we discuss research in two areas: those that inform i) benefit cost analysis and ii) conservation of resources. Within each realm, we show how field experiments have been able to test the relevant theories, provide important parameters to construct new theories, and guide policymakers. We conclude with thoughts on how field experiments can be used to deepen our understanding of important areas within environmental and resource economics.

John A List

Cited by*: 0 Downloads*: 111

Not applicable.

Omar Al-Ubaydli, Faith Fatchen, John A List

Cited by*: None Downloads*: None

Field experiments are a useful empirical tool that can be deployed in any sub-discipline - including institutional economics - to enhance the sub-discipline's empirical insights. However, we here argue that there exist fundamental barriers to the use of field experiments in understanding the impact of institutions on economic growth. Despite these obstacles, we present some significant scholarly contributions that merit exposition, while also proposing some future methods for using field experiments within institutional economics. While field experiments may be limited in answering questions in institutional economics with macroeconomic outcomes, there is great potential in employing field experiments to answer micro founded questions.

John A List

Cited by*: 5 Downloads*: 6

This paper pits neoclassical theory against prospect theory by investigating several clean tests of the competing hypotheses. Consistent with previous work, the field experimental data suggest that prospect theory adequately organizes behavior among inexperienced consumers, whereas consumers with intense market experience behave largely in accordance with neoclassical predictions. The data indicate that the convergence in values occurs entirely because of lower Hicksian equivalent surplus values.

Andreas Lange, John A List, Michael K Price

Cited by*: 35 Downloads*: 33

This study explores the economics of charitable fund-raising. We begin by developing theory that examines the optimal lottery design while explicitly relaxing both risk-neutrality and preference homogeneity assumptions. We test our theory using a battery of experimental treatments and find that our theoretical predictions are largely confirmed. Specifically, we find that single and multiple prize lotteries dominate the voluntary contribution mechanism both in total dollars raised and the number of contributors attracted. Moreover, we find that the optimal fund-raising mechanism depends critically on the risk postures of potential contributors and preference heterogeneity.

John A List, Ian Muir, Gregory Sun

Cited by*: None Downloads*: None

This study investigates how to use regression adjustment to reduce variance in experimental data. We show that the estimators recommended in the literature satisfy an orthogonality property with respect to the parameters of the adjustment. This observation greatly simplifies the derivation of the asymptotic variance of these estimators and allows us to solve for the efficient regression adjustment in a large class of adjustments. Our efficiency results generalize a number of previous results known in the literature. We then discuss how this efficient regression adjustment can be feasibly implemented. We show the practical relevance of our theory in two ways. First, we use our efficiency results to improve common practices currently employed in field experiments. Second, we show how our theory allows researchers to robustly incorporate machine learning techniques into their experimental estimators to minimize variance.

John A List

Cited by*: 16 Downloads*: 19

Public policy decision making often requires balancing the benefits of a policy with the costs. While regulators in the United States and abroad rely heavily on benefit-cost analysis, critics contend that hypothetical bias precludes one of the most popular benefit estimation techniques--contingent surveys--from providing reliable economic values for nonmarket goods and services. This paper explores a new methodology to obtain the total value of nonmarket goods and services--random nth price auctions. The empirical work revolves around examining behavior of 360 participants in a competitive marketplace, where subjects naturally buy, sell, and trade commodities. The field experiment provides some preliminary evidence that hypothetical random nth price auctions can, in certain situations, reveal demand truthfully.

Richard Hofler, John A List

Cited by*: 7 Downloads*: 5

The lack of robust evidence showing that hypothetical behavior directly maps into real actions remains a major concern for proponents of stated preference nonmarket valuation techniques. This article explores a new statistical approach to link actual and hypothetical statements. Using willingness-topay field data on individual bids from sealed-bid auctions for a $350 baseball card, our results are quite promising. Estimating a stochastic frontier regression model that makes use of data that any contingent valuation survey would obtain, we derive a bid function that is not statistically different from the bid function obtained from subjects in an actual auction. If other data can be calibrated similarly, this method holds significant promise since an appropriate calibration scheme, ex ante or ex post, can be invaluable to the policy maker that desires more accurate estimates of use and nonuse values for nonmarket goods and services.

Steven D Levitt, John A List

Cited by*: 51 Downloads*: 30

We can think of no question more fundamental to experimental economics than understanding whether, and under what circumstances, laboratory results generalize to naturally occurring environments. In this paper, we extend Levitt and List (2006) to the class of games in which financial payoffs and doing the right thing are not necessarily in conflict. We argue that behaviour is crucially linked to not only the preferences of people, but also the properties of the situation. By doing so, we are able to provide a road map of the psychological and economic properties of people and situations that might interfere with generalizability of laboratory result from a broad class of games.

Stefano DellaVigna, John A List, Ulrike Malmendier, Gautam Rao

Cited by*: 4 Downloads*: 61

Why do people vote? We design a field experiment to estimate a model of voting 'because others will ask'. The expectation of being asked motivates turnout if individuals derive pride from telling others that they voted, or feel shame from admitting that they did not vote, provided that lying is costly. In a door-to-door survey about election turnout, we experimentally vary (i) the informational content and use of a flyer pre-announcing the survey, (ii) the duration and payment for the survey, and (iii) the incentives to lie about past voting. The experimental results indicate significant social image concerns. For the 2010 Congressional election, we estimate a value of voting 'to tell others' of about $15, contributing 2 percentage points to turnout. Lastly, we evaluate a get-out-the-vote intervention in which we tell potential voters that we will ask if they voted.

Jeffrey A Flory, Andreas Leibbrandt, John A List

Cited by*: 0 Downloads*: 85

Workplace misbehaviors are often governed by explicit monitoring and strict punishment. Such enforcement activities can serve to lessen worker productivity and harm worker morale. We take a different approach to curbing worker misbehavior-bonuses. Examining more than 6500 donor phone calls across more than 80 workers, we use a natural field experiment to investigate how different wage contracts influence workers' propensity to break workplace rules in harmful ways. Our findings show that even though standard relative performance pay contracts, relative to a fixed wage scheme, increase productivity, they have a dark side: they cause considerable cheating and sabotage of co-workers. Yet, even in such environments, by including an unexpected bonus, the employer can substantially curb worker misbehavior. In this manner, our findings reveal how employers can effectively leverage bonuses to eliminate undesired behaviors induced by performance pay contracts.

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

Cited by*: 3 Downloads*: 87

No abstract available

Steven D Levitt, John A List

Cited by*: 321 Downloads*: 96

A critical question facing experimental economists is whether behavior inside the laboratory is a good indicator of behavior outside the laboratory. To address that question, we build a model in which the choices that individuals make depend not just on financial implications, but also on the nature and extent of scrutiny by others, the particular context in which a decision is embedded, and the manner in which participants and tasks are selected. We present empirical evidence demonstrating the importance of these various factors. To the extent that lab and naturally occurring environments systematically differ on any of these dimensions, the results obtained inside and outside the lab need not correspond. Focusing on experiments designed to measure social preferences, we discuss the extent to which the existing laboratory results generalize to naturally-occurring markets. We summarize cases where the lab may understate the importance of social preferences as well as instances in which the lab might exaggerate their importance. We conclude by emphasizing the importance of interpreting laboratory and field data through the lens of theory.

Steven D Levitt, John A List, David H Reiley

Cited by*: 12 Downloads*: 11

The minimax argument represents game theory in its most elegant form: simple but with stark predictions. Although some of these predictions have been met with reasonable success in the field, experimental data have generally not provided results close to the theoretical predictions. In a striking study, Palacios-Huerta and Volij (2007) present evidence that potentially resolves this puzzle: both amateur and professional soccer players play nearly exact minimax strategies in laboratory experiments. In this paper, we establish important bounds on these results by examining the behavior of four distinct subject pools: college students, bridge professionals, world-class poker players, who have vast experience with high-stakes randomization in card games, and American professional soccer players. In contrast to Palacios-Huerta and Volij's results, we find little evidence that real-world experience transfers to the lab in these games--indeed, similar to previous experimental results, all four subject pools provide choices that are generally not close to minimax predictions. We use two additional pieces of evidence to explore why professionals do not perform well in the lab: (1) complementary experimental treatments that pit professionals against preprogrammed computers, and (2) post-experiment questionnaires. The most likely explanation is that these professionals are unable to transfer their skills at randomization from the familiar context of the field to the unfamiliar context of the lab.

Eric Floyd, Michael Hallsworth, John A List, Robert D Metcalfe, Kristian Rotaru, Ivo Vlaev

Cited by*: None Downloads*: None

In this study, we first present a large natural field experiment that tested messages aimed at increasing tax compliance. We find that the main drivers of changes in compliance are messages describing the monitoring and enforcement behavior of the tax collector. A second natural field experiment built on the results of the first experiment to further investigate what kinds of costs resulting from tax collector oversight are salient to taxpayers. Specific time and cognitive incentives did not significantly increase payment rates, whereas stating non-specific costs of inaction did. Additional analyses suggest the increase in compliance is likely due to a 'fill in the blank' effect in which taxpayers assume the consequence is a fine. Interestingly, specifically stating maximum fine or jailtime consequences have the largest effect in a laboratory setting but only if the consequences are interpreted as realistic. Overall, our study reinforces that tax authorities can use short messages to increase tax compliance; the estimated accelerated revenue from the two field studies amounts to 9.9m GBP.

John A List, Fatemeh Momeni

Cited by*: 0 Downloads*: 82

Corporate Social Responsibility (CSR) has become a cornerstone of modern business practice, developing from a "why" in the 1960s to a "must" today. Early empirical evidence on both the demand and supply sides has largely confirmed CSR's efficacy. This paper combines theory with a large-scale natural field experiment to connect CSR to an important but often neglected behavior: employee misconduct and shirking. Through employing more than 3,000 workers, we find that our usage of CSR increases employee misbehavior - 20% more employees act detrimentally toward our firm by shirking on their primary job duty when we introduce CSR. Complementary treatments suggest that "moral licensing" is at work, in that the "doing good" nature of CSR induces workers to misbehave on another dimension that hurts the firm. In this way, our data highlight a potential dark cloud of CSR, and serve to forewarn that such business practices should not be blindly applied.

Ted Gayer, John Horowitz, John A List

Cited by*: 0 Downloads*: 0

Clear Skies is an economist's approach to pollution reduction. We heartily endorse its core approach, while recommending surgery for a few minor blemishes.

Ori Heffetz, John A List

Cited by*: None Downloads*: None

Carefully designed scientific experiments have been an engine of economic, technological, and social progress for well over a century, which is why the public generally trusts such methods. Unfortunately, governments around the world still routinely oppose controlled trials of public policies.