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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.

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.

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.

Anthony Heyes, John A List

Cited by*: 2 Downloads*: 157

No abstract available

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.

John A List, Zacharias Maniadis, Fabio Tufano

Cited by*: 0 Downloads*: 3

In his comment, Mitesh Kataria (2014) makes three main points about a specific part of our paper (Maniadis, Tufano, and List 2014), namely about Tables 2 and 3. In our paper, we employ these tables in order to illustrate the idea that very inconclusive post-study probabilities that a tested phenomenon is true may result from novel, surprising findings. The main arguments in Kataria (2014) are the following: First, if P(H0) is unknown, as is often the case with economic applications, the post-study probability can lead to even worse inference than the Classical significance test, depending on the quality of the prior. Second, the simulation in Maniadis et al. (2014) ignores previous assessments of P(H0) and instead utilizes a selective empirical setup that favors the use of post-study probabilities. [Third,] contrary to what Maniadis et al. (2014) argue, their results do not allow for drawing general recommendations about which approach is the most appropriate. (Kataria 2014, abs.) We believe that our work might have been misunderstood by Kataria. Moreover, it seems that some of his claims are not supported by relevant empirical evidence.

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.

Craig Gallet, John A List, Peter Orazem

Cited by*: 0 Downloads*: 0

The 1987 academic market was strong, whereas the 1997 market was weak. A multimarket theory of optimal search suggests that job seekers will respond to a weakening market by changing their search strategies at the extensive margin (which markets to enter) and the intensive margin (how many applications to submit per market). Employers respond to the weakening market by raising their hiring standards. High-quality applicants will obtain an increased share of academic interviews in weak markets while applicants from weaker schools will increasingly secure interviews outside of the academic market. Empirical results show that in the bust market, graduates of elite schools shifted their search strategies to include weaker academic institutions, while graduates of lower-ranked schools shifted their applications away from academia and toward the business sector. In bust conditions, academic institutions increasingly concentrate their interviews on elite school graduates, women, and U.S. residents

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.

Richard Damania, Per Fredriksson , John A List

Cited by*: 45 Downloads*: 34

This study explores the linkages between trade policy, corruption, and environmental policy. We begin by presenting a theoretical model that produces several testable predictions, including: (i) the effect of trade liberalization on the stringency of environmental policy depends on the level of corruption; and (ii) corruption reduces environmental policy stringency. Using panel data from a mix of developed and developing countries from 1982 to 1992, we find evidence that supports these conjectures. We view these results as representing an attempt at understanding the myriad of complex relationships that exist in an open economy.

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.

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.

Annika List, John A List, Anya Samek

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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

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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

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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.