Search Papers

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.

John A List, Paramita Sinha, Michael H Taylor

Cited by*: 33 Downloads*: 116

Critics of stated preference methods argue that hypothetical bias precludes survey techniques from providing reliable economic values for non-market goods and services, rendering estimation of the total economic benefits of public programs fruitless. This paper explores a relatively new methodology to obtain the total value of non-market goods and services-choice experiments-which conveniently provide information on the purchase decision as well as the characteristic value vector. The empirical work revolves around examining behavior in two very different field settings. In the first field study, we explore hypothetical bias in the purchase decision by eliciting contributions for a threshold public good in an actual capital campaign. To extend the analysis a level deeper, in a second field experiment we examine both the purchase decision and the marginal value vector via inspection of consumption decisions in an actual marketplace. In support of the new valuation design, both field experiments provide some evidence that hypothetical choice experiments combined with ""cheap talk"" can yield credible estimates of the purchase decision. Furthermore, we find no evidence of hypothetical bias when estimating marginal attribute values. Yet, we do find that the ""cheap talk"" component might induce internal inconsistency of subjects' preferences in the choice experiment.

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.

Jeffrey A Flory, Andreas Leibbrandt, John A List

Cited by*: 12 Downloads*: 3

Recently an important line of research using laboratory experiments has provided a new potential reason for why we observe gender imbalances in labor markets: men are more competitively inclined than women. Whether, and to what extent, such preferences yield differences in naturally-occurring labor market outcomes remains an open issue. We address this question by exploring job-entry decisions in a natural field experiment where we randomized nearly 7,000 interested job-seekers into different compensation regimes. By varying the role that individual competition plays in setting the wage, we are able to explore whether competition, by itself, can cause differential job entry. The data highlight the power of the compensation regime in that women disproportionately shy away from competitive work settings. Yet, there are important factors that attenuate the gender differences, including whether the job is performed in teams, whether the job task is female-oriented, and the local labor market.

Erwin Bulte, John A List, Mark Strazicich

Cited by*: 17 Downloads*: 2

Recent empirical work suggests that (i) incomes are converging through time, and (ii) income and pollution levels are linked. This paper weds these two literatures by examining the spatial and temporal distribution of pollution. After establishing that theoretical predictions about whether pollution will converge are critically linked to certain structural parameters, we explore pollution convergence using state-level data on two important pollutants-nitrogen oxides and sulfur oxides-from 1929 to 1999. We find stronger evidence of converging emission rates during the federal pollution control years (1970-1999) than during the local control years (1929-1969). These results suggest that income convergence alone may not be sufficient to induce convergence of pollutant emissions.

Tim Jeppesen, John A List, Daan van Soest

Cited by*: 5 Downloads*: 6

Empirical tests of the relationship between international competitiveness and the severity of environmental regulations are hampered by the lack of pollution abatement cost data for non-U.S. countries. The theory of the firm suggests that environmental stringency can be measured by the difference between a polluting input's shadow price and its market price. We make a first attempt at quantifying such a measure for two industries located in nine European OECD countries. Overall, we provide (i) a new approach to measure cross-country regulatory differences in that we use a theoretically attractive measure of industry-specific private compliance cost, and (ii) empirical estimates that are an attractive tool for researchers and policymakers who are interested in examining how economic activity is influenced by compliance costs.

Junsoo Lee, John A List

Cited by*: 0 Downloads*: 4

Despite its growth in other areas of economics,time series econometric methods have not been widespread in the area of environmental and resource economics. We illustrate one use of time series methods by examining the time path of US nitrogen oxide (NOx) emission data over the period 1900-1994. The analysis highlights that proper time series methods can aid in optimal regulatory policy as well as developing empirical verification of theories put forth to explain economic phenomena. In addition, several interesting results emerge. First, we find that the emissions series contains both a permanent and random component. Second, if one attributed all of the emissions reductions to regulatory policy, intervention analysis suggests that the 1970 Clean Air Act(CAA) did not merely have transitory effects,but permanently influenced the NOx emission path. In terms of total regulatory impact, an upper bound on the emissions saved due to the 1970 CAA is in the range of 27%-48%.

John A List, Warren McHone , Daniel L Millimet

Cited by*: 11 Downloads*: 8

Whether lax environmental regulations are an important attraction for mobile capital remains one of the most controversial issues in the area of regulatory federalism. While the extant literature does a nice job of estimating the effects of environmental regulation on the spatial allocation of new plant births, one neglected area of research is the effect that environmental regulation has on plant relocation decisions. This paper uses an annual (1980-90) county level panel data set to examine the relationship between air quality regulatory stringency and the destination choice of relocating plants. We estimate empirical models using both parametric and semi-nonparametric specifications. Empirical results from both models suggest that air quality regulations alter significantly the destination choices of relocating plants.

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.

Dermot Hayes , John A List, Jason F Shogren

Cited by*: 13 Downloads*: 4

This paper explores the origins of the strikingly high price premia paid for new food products in lab valuation exercises. Our experimental design distinguishes between two explanations of this phenomenon: novelty of the experimental experience versus the novelty of the good, i.e., preference learning-bids reflect a person's desire to learn how an unfamiliar good fits into their preference set. Subjects bid in four consecutive experimental auctions for three goods that vary in familiarity, candy bars, mangos, and irradiated meat. Our results suggest that preference learning is the main source of the high premia, and that novelty of the experimental experience does not in itself artificially inflate valuations.

Catherine Co , John A List

Cited by*: 47 Downloads*: 13

This paper employs a conditional logit model to estimate the effects of state environmental regulations on foreign multinational corporations' new plant location decisions from 1986 to 1993. The relationship between site choice and state environmental regulations is explored, using four measures of regulatory stringency. We find evidence that heterogeneous environmental policies across states do matter.

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.

Jeffrey A Flory, Andreas Leibbrandt, John A List

Cited by*: 0 Downloads*: 109

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 misbehaviour - 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.

Erwin Bulte, John A List, Daan van Soest

Cited by*: None Downloads*: None

Incomplete contracts are the rule rather than the exception, and any incentive scheme faces the risk of improving performance on incented aspects of a task at the detriment of performance on non-incented aspects. Recent research documents the effect of loss-framed versus gain-framed incentives on incentivized behavior, but how do such incentives affect overall performance? We explore potential trade-offs by conducting field experiments in an artificial "workplace". We explore two types of incentive spillovers: those contemporaneous to the incented task and those subsequent to the incented task. We report three main results. First, consonant with the extant literature, a loss aversion incentive induces greater effort on the incented task. Second, offsetting this productivity gain, we find that the quality of work decreases if quality is not specified in the incentive contract. Third, we find no evidence of harmful spillover effects to subsequent tasks; if anything, the loss aversion incentive induces more effort in subsequent tasks. Taken together, our results highlight that measuring and accounting for incentive spillovers are important when considering their overall impact.

John A List, Azeem M Shaikh, Atom Vayalinkal

Cited by*: None Downloads*: None

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.

Gary Charness, Brian Jabarian, John A List

Cited by*: None Downloads*: None

We investigate the potential for Large Language Models (LLMs) to enhance scientific practice within experimentation by identifying key areas, directions, and implications. First, we discuss how these models can improve experimental design, including improving the elicitation wording, coding experiments, and producing documentation. Second, we discuss the implementation of experiments using LLMs, focusing on enhancing causal inference by creating consistent experiences, improving comprehension of instructions, and monitoring participant engagement in real time. Third, we highlight how LLMs can help analyze experimental data, including pre-processing, data cleaning, and other analytical tasks while helping reviewers and replicators investigate studies. Each of these tasks improves the probability of reporting accurate findings. Finally, we recommend a scientific governance blueprint that manages the potential risks of using LLMs for experimental research while promoting their benefits. This could pave the way for open science opportunities and foster a culture of policy and industry experimentation at scale.

John A List, Lina Ramirez, Julia Seither, Jaime Unda, Beatriz Vallejo

Cited by*: None Downloads*: None

Misinformation represents a vital threat to the societal fabric of modern economies. While the supply side of the misinformation market has begun to receive increased scrutiny, the demand side has received scant attention. We explore the demand for misinformation through the lens of augmenting critical thinking skills in a field experiment during the 2022 Presidential election in Colombia. Data from roughly 2.000 individual suggest that our treatments enhance critical thinking, causing subjects to more carefully consider the truthfulness of potential misinformation. We furthermore provide evidence that reducing the demand of fake news can deliver on the dual goal of reducing the spread of fake news by encouraging reporting of misinformation.

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.