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Ernst Fehr, John A List

Cited by*: 154 Downloads*: 15

We examine experimentally how Chief Executive Officers (CEOs) respond to incentives and how they provide incentives in situations requiring trust and trustworthiness. As a control we compare the behavior of CEOs with the behavior of students. We find that CEOs are considerably more trusting and exhibit more trustworthiness than students--thus reaching substantially higher efficiency levels than students. Moreover, we find that, for CEOs as well as for students, incentives based on explicit threats to penalize shirking backfire by inducing less trustworthy behavior--giving rise to hidden costs of incentives. However, the availability of penalizing incentives also creates hidden returns: if a principal expresses trust by voluntarily refraining from implementing the punishment threat, the agent exhibits significantly more trustworthiness than if the punishment threat is not available. Thus trust seems to reinforce trustworthy behavior. Overall, trustworthiness is highest if the threat to punish is available but not used, while it is lowest if the threat to punish is used. Paradoxically, however, most CEOs and students use the punishment threat, although CEOs use it significantly less.

John A List, Charles F Mason

Cited by*: 0 Downloads*: 20

Are individuals expected utility maximizers? This question represents much more than academic curiosity. In a normative sense, at stake are the fundamental underpinnings of the bulk of the last half-century's models of choice under uncertainty. From a positive perspective, the ubiquitous use of benefit-cost analysis across government agencies renders the expected utility maximization paradigm literally the only game in town. In this study, we advance the literature by exploring CEO's preferences over small probability, high loss lotteries. Using undergraduate students as our experimental control group, we find that both our CEO and student subject pools exhibit frequent and large departures from expected utility theory. In addition, as the extreme payoffs become more likely CEOs exhibit greater aversion to risk. Our results suggest that use of the expected utility paradigm in decision making substantially underestimates society's willingness to pay to reduce risk in small probability, high loss events.

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.

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.

John A List, Jason F Shogren

Cited by*: 78 Downloads*: 21

We design and implement a field experiment to elicit and calibrate in-sample hypothetical and actual bids given the presence of other goods and intensity of market experience. Using market goods that possess characteristics beyond the norm but yet remain deliverable, bidding behavior was consistent with theory. But we also observe the average calibration factor for hypothetical bids in the auction with other goods to be more severe (0.3) than for the auction without the goods (0.4). The results support the view that the calibration of hypothetical and actual bidding is good- and context-specific.

John A List, Robert D Metcalfe

Cited by*: 3 Downloads*: 14

Field experiments represent a relatively new area in economics to understand the causal links from one variable to another. They have been used by academics to help answer interesting and policy-relevant questions in the developed world relating to educational attainment, tax avoidance, consumer finance, negative externalities, charitable giving, and labour market contracts. In this paper we bring together the key ideas behind the different variants of field experiments, how field experiments have been used to test theory, their limitations, and the new areas currently being opened up by field experiments.

John A List, Anya Samek

Cited by*: 4 Downloads*: 13

Childhood obesity has reached epidemic proportions in the U.S., with now almost a third of children ages 2-19 deemed overweight or obese. In this study, we leverage recent findings from behavioral economics to explore new approaches to tackling one aspect of childhood obesity: food choice and consumption. Using a field experiment where we include more than 1,500 children, we report several key insights. First, we find that individual incentives can have large influences: in the control, only 17% of children prefer the healthy snack, whereas the introduction of small incentives increases take-up of the healthy snack to roughly 75%, more than a four-fold increase. There is some evidence that the effects continue after the treatment period, consistent with a model of habit formation. Second, we find little evidence that the framing of incentives (loss versus gain) matters. While incentives work, we find that educational messaging alone has little influence on food choice. Yet, we do observe an important interaction effect between messaging and incentives: together they provide an important influence on food choice. For policymakers, our findings show the power of using incentives to combat childhood obesity. For academics, our approach opens up an interesting combination of theory and experiment that can lead to a better understanding of theories that explain healthy decisions and what incentives can influence them.

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.

Fuhai Hong, Tanjim Hossain, John A List

Cited by*: 3 Downloads*: 35

Exploiting findings that losses loom larger than gains, studies have shown that framing manipulations can increase productivity of workers. Using a natural field experiment that exogenously manipulates wage bonuses within contests in a Chinese high-tech manufacturing facility, we show that how loss aversion affects worker behavior critically depends on the incentive scheme as well as the framing manipulation. Four sets of two identical teams competed against each other to win a bonus given to the team, within a set, with the higher average hourly productivity over the week. In each set, the bonus was framed as a reward or gain for one team and as a punishment or loss for the other. Average weekly productivity was slightly higher under the loss treatment, but this increase was statistically insignificant. However, the team under the loss treatment was at least 35% more likely to win the contest. As teams' payoffs are based on relative productivity under a contest, framing effect is much stronger in terms of relative productivity. Finally, workers seemingly responded to the bonus by increasing the quality of production as well as quantity-defect rate fell as productivity increased.

Daron Acemoglu, David Laibson , John A List

Cited by*: 4 Downloads*: 13

Internet-based educational resources are proliferating rapidly. One concern associated with these (potentially transformative) technological changes is that they will be disequalizing - as many technologies of the last several decades have been - creating superstar teachers and a winner-take-all education system. These important concerns notwithstanding, we contend that a major impact of web-based educational technologies will be the democratization of education: educational resources will be more equally distributed, and lower-skilled teachers will benefit. At the root of our results is the observation that skilled lecturers can only exploit their comparative advantage if other teachers complement those lectures with face-to-face instruction. This complementarity will increase the quantity and quality of face-to-face teaching services, potentially increasing the marginal product and wages of lower-skill teachers.

Tanjim Hossain, John A List

Cited by*: 9 Downloads*: 19

Recent discoveries in behavioral economics have led to important new insights concerning what can happen in markets. Such gains in knowledge have come primarily via laboratory experiments--a missing piece of the puzzle in many cases is parallel evidence drawn from naturally-occurring field counterparts. We provide a small movement in this direction by taking advantage of a unique opportunity to work with a Chinese high-tech manufacturing facility. Our study revolves around using insights gained from one of the most influential lines of behavioral research--framing manipulations--in an attempt to increase worker productivity in the facility. Using a natural field experiment, we report several insights. For example, conditional incentives framed as both "losses" and "gains" increase productivity for both individuals and teams. In addition, teams more acutely respond to bonuses posed as losses than as comparable bonuses posed as gains. The magnitude of the effect is roughly 1%: that is, total team productivity is enhanced by 1% purely due to the framing manipulation. Importantly, we find that neither the framing nor the incentive effect lose their importance over time; rather the effects are observed over the entire sample period. Moreover, we learn that worker reputation and conditionality of the bonus contract are substitutes for sustenance of incentive effects in the long-run production function.

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, Daniel L Millimet

Cited by*: 11 Downloads*: 4

One particularly vexing puzzle for economists and policymakers over the past several decades concerns the empirical significance of the theoretically predicted pollution haven hypothesis. While neoclassical theory and conventional wisdom both surmise that local economies will suffer deleterious effects from stricter environmental regulations, empirical studies have largely failed to validate such claims. This study utilizes the method of matching to show that the impact of stricter regulation is heterogeneous spatially, varying systematically based on location-specific attributes. Previous studies that assume a homogenous response may therefore inadvertently mask the overall impact of more stringent regulations by pooling unaffected and affected regions.

Craig Gallet, John A List

Cited by*: 12 Downloads*: 4

Recent research has posited that, in advanced economies, there is a positive correlation between income inequality and development. Using a new unbalanced panel dataset for 71 countries from 1961 to 1992, we present evidence that supports this conjecture. Although many factors may be contributing to this renewed positive relationship between growth and inequality, one plausible explanation rests on the shift away from a manufacturing base towards a service base in most advanced economies.

Charles Godward , John A List, Mark Thompson

Cited by*: 0 Downloads*: 4

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Uri Gneezy, Alex Imas, John A List

Cited by*: 2 Downloads*: 6

We introduce a simple, easy to implement instrument for jointly eliciting risk and ambiguity attitudes. Using this instrument, we structurally estimate a two-parameter model of preferences. Our findings indicate that ambiguity aversion is significantly overstated when risk neutrality is assumed. This highlights the interplay between risk and ambiguity attitudes as well as the importance of joint estimation. In addition, over our stakes levels we find no difference in the estimated parameters when incentives are real or hypothetical, raising the possibility that a simple hypothetical question can provide insights into an individuals preferences over ambiguity in such economic environments.

Michael Greenstone, John A List, Chad Syverson

Cited by*: 14 Downloads*: 1

The economic costs of environmental regulations have been widely debated since the U.S. began to restrict pollution emissions more than four decades ago. Using detailed production data from nearly 1.2 million plant observations drawn from the 1972-1993 Annual Survey of Manufactures, we estimate the effects of air quality regulations on manufacturing plants' total factor productivity (TFP) levels. We find that among surviving polluting plants, stricter air quality regulations are associated with a roughly 2.6 percent decline in TFP. The regulations governing ozone have particularly large negative effects on productivity, though effects are also evident among particulates and sulfur dioxide emitters. Carbon monoxide regulations, on the other hand, appear to increase measured TFP, especially among refineries. The application of corrections for the confounding of price increases and output declines and sample selection on survival produce a 4.8 percent estimated decline in TFP for polluting plants in regulated areas. This corresponds to an annual economic cost from the regulation of manufacturing plants of roughly $21 billion, about 8.8 percent of manufacturing sector profits in this period.

Annika List, John A List, Anya Samek

Cited by*: None Downloads*: None

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, 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, 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.