Uri Gneezy, Moshe Hoffman, Mark A. Lane, John A List, Jeffrey A Livingston, Michael J. Seiler
Cited by*: None Downloads*: None

Recent theoretical work shows that the better-than-average effect, where a majority believes their ability to be better than average, can be perfectly consistent with Bayesian updating. However, later experiments that account for this theoretical advance still find behavior consistent with overconfidence. The literature notes that overoptimism can be caused by either overconfidence (optimism about performance), wishful thinking (optimism about outcomes), or both. To test whether the better-than-average effect might be explained by wishful thinking instead of overconfidence, we conduct an experiment that is similar to those used in the overconfidence literature, but removes performance as a potential channel. We find evidence that wishful thinking might explain overconfidence only among the most optimistic subjects, and that conservatism is possibly more of a worry; if unaccounted for, overconfidence might be underestimated.
Omar Al-Ubaydli, Steffen Andersen, Uri Gneezy, John A List
Cited by*: 0 Downloads*: 2

Constructing compensation schemes for effort in multi-dimensional tasks is complex, particularly when some dimensions are not easily observable. When incentive schemes contractually reward workers for easily observed measures, such as quantity produced, the standard model predicts that unrewarded dimensions, such as quality, will be neglected. Yet, there remains mixed empirical evidence in favor of this standard principal-agent model prediction. This paper reconciles the literature by using both theory and empirical evidence. The theory outlines conditions under which principals can use a piece rate scheme to induce higher quantity and quality levels than analogous fixed wage schemes. Making use of a series of complementary laboratory and field experiments we show that this effect occurs because the agent is uncertain about the principal's monitoring ability and the principal's choice of a piece rate signals to the agent that she is efficient at monitoring.
John A List, Yana Peysakhovichc
Cited by*: 1 Downloads*: 5

This paper examines aggregate time series data on individual charitable donations from 1968 to 2007. We find that changes in individual giving show an asymmetric response to changes in the S&P 500: individuals are more responsive to stock market upturns than downturns.
John A List, Michael K Price
Cited by*: 8 Downloads*: 7

One fact that has emerged in modern societies is that people help others. Whether it is donating a few dollars to help feed the poor or volunteering time to help rebuild someone's life after a natural disaster, people around the globe commonly lend a hand. This study provides an overview of that support, summarizing gifts of both time and money around the globe. We also highlight research that indicates useful ways in which we can enhance the charitable pie. Our discussion revolves around both individual giving and corporate philanthropy, but we focus on empirical insights from recent charitable fundraising field experiments in the Western World. We present information that is useful for policymakers, fundraising practitioners, and academicians.
Per Fredriksson , John A List, Daniel L Millimet
Cited by*: 8 Downloads*: 1

Empirical evidence suggesting that a considerable amount of horizontal strategic interaction exists amongst governments is important in light of recent devolutionary trends of many important public programs. The empirical approach in these studies typically relies on estimating reaction functions in a uni-dimensional policy framework, where a nonzero slope estimate is interpreted as evidence in support of strategic interactions. While this framework is a useful representation within certain contexts, it is potentially too restrictive; for example, in models of resource competition, localities may use multiple instruments in their recruiting pursuits, leading to potential strategic interactions across policy instruments. In this study, we first develop a simple theoretic construct that includes resource competition in a world of three-dimensional policy choice. The model suggests that while a zero-sloped reaction function may exist for any particular policy, this does not necessarily imply the absence of strategic interactions. We examine the implications of the model empirically using US state-level panel data over the period 1977-1994. The results suggest that important cross-policy strategic interactions exist, lending support in favor of the multi-dimensional framework, and indicate that uni-dimensional frameworks may present lower bound estimates of the degree of strategic interaction.
Steven D Levitt, John A List, Sally Sadoff
Cited by*: 0 Downloads*: 25

Although backward induction is a cornerstone of game theory, most laboratory experiments have found that agents are not able to successfully backward induct. We analyze the play of world-class chess players in the centipede game, which is ill-suited for testing backward induction, and in pure backward induction games--Race to 100 games. We find that chess players almost never play the backward induction equilibrium in the centipede game, but many properly backward induct in the Race to 100 games. We find no systematic within-subject relationship between choices in the centipede game and performance in pure backward induction games.
Erwin Bulte, Andreas Kontoleon, John A List, Ty Turley, Maarten Voors
Cited by*: None Downloads*: None

We use a field experiment in Sierra Leone to examine how the identity of the manager influences rent seeking and performance in participatory development projects. Specifically, we vary the composition of a committee responsible for implementing a development project-local elites or randomly selected villagers. The design is unique in that it permits us to explore the effectiveness of two alternative local governance modalities and the extent of elite capture in community projects. We find little evidence that local elites capture project resources. We do observe they are better managers of development projects. Improved performance covaries with a proxy for power of the local chief.
John A List, Anya Samek, Dana L Suskind
Cited by*: 0 Downloads*: 258

Behavioral economics and field experiments within the social sciences have advanced well beyond academic curiosum. Governments around the globe as well as the most powerful firms in modern economies employ staffs of behavioralists and experimentalists to advance and test best practices. In this study, we combine behavioral economics with field experiments to reimagine a new model of early childhood education. Our approach has three distinct features. First, by focusing public policy dollars on prevention rather than remediation, we call for much earlier educational programs than currently conceived. Second, our approach has parents at the center of the education production function rather than at its periphery. Third, we advocate attacking the macro education problem using a public health methodology, rather than focusing on piecemeal advances.
Glenn W Harrison, John A List
Cited by*: 0 Downloads*: 6

No abstract available
Richard Carson , Theodore Groves , John A List
Cited by*: 0 Downloads*: 1

Researchers, using contingent valuation (CV) to value changes in nonmarket goods, typically believe respondents always answer questions truthfully or they answer truthfully only when it is in their interest to do so. The second position, while consistent with economic theory, implies that interpreting survey responses depends critically on the incentive structure provided. We derive simple tests capable of distinguishing the two views. Our theoretical model for examining the incentive structure of a single binary choice relaxes the usual expected utility assumption. We test our theory using a field experiment involving voting to provide a public good. Experimental results are consistent theoretical predictions and cast doubt on the relevance of a large experimental literature using inconsequential questions and non-incentive-compatible mechanisms to make inferences about CV. The framework put forth should help in understanding the role played by theoretical conditions for preference elicitation and lend insight into the hypothetical bias literature.
John A List, Michael K Price
Cited by*: 15 Downloads*: 27

We explore collusion by using the tools of experimental economics in a naturally occurring marketplace. We report that competitive price theory adequately organizes data in multilateral decentralized bargaining markets without conspiratorial opportunities. When conspiratorial opportunities are allowed and contract prices are perfectly observed, prices (quantities) are considerably above (below) competitive levels. When sellers receive imperfect price signals, outcomes are intermediate to those of competitive markets and collusive markets with full information. Finally, experienced buyers serve as a catalyst to thwart attempts by sellers to engage in anticompetitive pricing: in periods where experienced agents transact in the market, average transaction prices are below those realized in periods where only inexperienced agents execute trades.
Sarah Ahmed , John Beshears , James Choi , Joelle Friedman , Jonathan Kolstad, Suzanne Linck , John A List, George Loewenstein, Brigitte Madrain , Barbara McGill, Stacey Sinkula , Kevin Volpp
Cited by*: 3 Downloads*: 8

We report results from two surveys of representative samples of Americans with private health insurance. The first examines how well Americans understand, and believe they understand, traditional health insurance coverage. The second examines whether those insured under a simplified all-copay insurance plan will be more likely to engage in cost-reducing behaviors relative to those insured under a traditional plan with deductibles and coinsurance, and measures consumer preferences between the two plans. The surveys provide strong evidence that consumers do not understand traditional plans and would better understand a simplified plan, but weaker evidence that a simplified plan would have strong appeal to consumers or change their healthcare choices.
Omar Al-Ubaydli, John A List
Cited by*: 0 Downloads*: 60

A commonly held view is that laboratory experiments provide researchers with more "control" than natural field experiments, and that this advantage is to be balanced against the disadvantage that laboratory experiments are less generalizable. This paper presents a simple model that explores circumstances under which natural field experiments provide researchers with more control than laboratory experiments afford. This stems from the covertness of natural field experiments: laboratory experiments provide researchers with a high degree of control in the environment which participants agree to be experimental subjects. When participants systematically opt out of laboratory experiments, the researcher's ability to manipulate certain variables is limited. In contrast, natural field experiments bypass the participation decision altogether and allow for a potentially more diverse participant pool within the market of interest. We show one particular case where such selection is invaluable: when treatment effects interact with participant characteristics.
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
John A List, David Lucking-Reiley
Cited by*: 40 Downloads*: 5

No abstract available
Richard Engelbrecht-Wiggans, John A List, David H Reiley
Cited by*: 1 Downloads*: 4

My coauthors and I reply to the comments of Daniel Levin on our paper "Demand Reduction in Multiunit Auctions: Evidence from a Sportscard Field Experiment." In his comment, Levin presents new theory and proposes a new equilibrium to explain annomalies reported in our earlier sportscard auction, such as higher first-unit bids under the uniform-price institution. We evaluate his theory and equilibrium in the context of both uniform-price and Vickrey auctions and point out our concerns. Where possible, we attempt to test the predictions of his theory with our existing data.
Richard Engelbrecht-Wiggans, John A List, David H Reiley
Cited by*: 10 Downloads*: 9

Auction theory has recently revealed that multi-unit uniform-price auctions, such as those used by the U.S. Treasury for debt sales, entail demand-reduction incentives that can cause inefficient allocations. Recent experimental results show that bidders do indeed strategically reduce their bids in uniform-price auctions. The present paper extends this work, both theoretically and experimentally, to consider the effects of varying numbers of bidders. We derive several theoretical predictions, including the result that demand reduction should decrease with increasing numbers of bidders, though some demand reduction remains even in the asymptotic limit. We then examine the bidding behavior of subjects in this environment by auctioning dozens of Cal Ripken, Jr. baseball cards using both uniform-price and Vickrey auction formats. The field data are broadly consistent with the theoretical predictions of our model: most notably, demand reduction on second-unit bids becomes much smaller and harder to detect as the number of bidders increases.
John A List, David Lucking-Reiley
Cited by*: 29 Downloads*: 1

n/a
Richard Engelbrecht-Wiggans, John A List, David H Reiley
Cited by*: 10 Downloads*: 3

Recent auction theory and experimental results document strategic demand reduction by bidders in uniform-price auctions. The present article extends this area of research to consider the effects of varying the number of bidders. Our theoretical model predicts that demand reduction should decrease with an increase in the number of bidders. Considerable demand reduction remains even in the asymptotic limit, although truthful bidding yields profits very close to those of equilibrium play. We experimentally confirm several of our predictions by examining bidding behavior of subjects in an actual marketplace, auctioning dozens of sportscards using both uniform-price and Vickrey auction formats.
Bharat Chandar, Ali Hortacsu, John A List, Ian Muir, Jeffrey M Wooldridge
Cited by*: None Downloads*: None

Field experiments conducted with the village, city, state, region, or even country as the unit of randomization are becoming commonplace in the social sciences. While convenient, subsequent data analysis may be complicated by the constraint on the number of clusters in treatment and control. Through a battery of Monte Carlo simulations, we examine best practices for estimating unit-level treatment effects in cluster-randomized field experiments, particularly in settings that generate short panel data. In most settings we consider, unit-level estimation with unit fixed effects and cluster-level estimation weighted by the number of units per cluster tend to be robust to potentially problematic features in the data while giving greater statistical power. Using insights from our analysis, we evaluate the effect of a unique field experiment: a nationwide tipping field experiment across markets on the Uber app. Beyond the import of showing how tipping affects aggregate outcomes, we provide several insights on aspects of generating and analyzing cluster-randomized experimental data when there are constraints on the number of experimental units in treatment and control.