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.
David H Herberich, Steven D Levitt, John A List
Cited by*: 3 Downloads*: 74

No abstract available
Steven D Levitt, John A List
Cited by*: 58 Downloads*: 52

This study presents an overview of modern field experiments and their usage in economics. Our discussion focuses on three distinct periods of field experimentation that have influenced the economics literature. The first might well be thought of as the dawn of "field" experimentation: the work of Neyman and Fisher, who laid the experimental foundation in the 1920s and 1930s by conceptualizing randomization as an instrument to achieve identification via experimentation with agricultural plots. The second, the large-scale social experiments conducted by government agencies in the mid-twentieth century, moved the exploration from plots of land to groups of individuals. More recently, the nature and range of field experiments has expanded, with a diverse set of controlled experiments being completed outside of the typical laboratory environment. With this growth, the number and types of questions that can be explored using field experiments has grown tremendously. After discussing these three distinct phases, we speculate on the future of field experimental methods, a future that we envision including a strong collaborative effort with outside parties, most importantly private entities.
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.
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.
Steven D Levitt, John A List
Cited by*: 38 Downloads*: 65

No abstract available
Steven D Levitt, John A List, Susanne Neckermann, Sally Sadoff
Cited by*: 0 Downloads*: 161

Research on behavioral economics has established the importance of factors such as reference dependent preferences, hyperbolic preferences, and the value placed on non-financial rewards. To date, these insights have had little impact on the way the educational system operates. Through a series of field experiments involving thousands of primary and secondary school students, we demonstrate the power of behavioral economics to influence educational performance. Several insights emerge. First, we find that incentives framed as losses have more robust effects than comparable incentives framed as gains. Second, we find that non-financial incentives are considerably more cost-effective than financial incentives for younger students, but were not effective with older students. Finally, and perhaps most importantly, consistent with hyperbolic discounting, all motivating power of the incentives vanishes when rewards are handed out with a delay. Since the rewards to educational investment virtually always come with a delay, our results suggest that the current set of incentives may lead to under-investment. For policymakers, our findings imply that in the absence of immediate incentives, many students put forth low effort on standardized tests, which may create biases in measures of student ability, teacher value added, school quality, and achievement gaps.
Tova Levin, Steven D Levitt, John A List
Cited by*: 0 Downloads*: 37

The wealthiest 10% of donors now give 90% of charitable dollars in the U.S., but little is known about what motivates them. This study uses a natural field experiment, tracking over five thousand high capacity donors, to lend preliminary insights into the world of high capacity givers. On some dimensions, high capacity donors mirror modal donors: there is persistence in giving patterns, signals of program quality influence giving, and the price of giving is not unduly important. Unlike typical small donors, the givers in our data respond only on the intensive margin, and often with a longer time lag. Our study highlights the value to practitioners of partnering with academics, as our intervention has generated $30 million in incremental donations to the University.
Steven D Levitt, John A List, Chad Syverson
Cited by*: 7 Downloads*: 12

Productivity improvements within establishments (e.g., factories, mines, or retail stores) are an important source of aggregate productivity growth. Past research has documented that learning by doing-productivity improvements that occur in concert with production increases-is one source of such improvements. Yet little is known about the specific mechanisms through which such learning occurs. We address this question using extremely detailed data from an assembly plant of a major auto producer. Beyond showing that there is rapid learning by doing at the plant, we are able to pinpoint the processes by which these improvements have occurred.
Roland Fryer , Steven D Levitt, John A List
Cited by*: 9 Downloads*: 4

n/a
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, Sally Sadoff
Cited by*: 8 Downloads*: 46

We test the effect of performance-based incentives on educational achievement in a low-performing school district using a randomized field experiment. High school freshmen were provided monthly financial incentives for meeting an achievement standard based on multiple measures of performance including attendance, behavior, grades and standardized test scores. Within the design, we compare the effectiveness of varying the recipient of the reward (students or parents) and the incentive structure (fixed rate or lottery). While the overall effects of the incentives are modest, the program has a large and significant impact among students on the threshold of meeting the achievement standard. These students continue to outperform their control group peers a year after the financial incentives end. However, the program effects fade in longer term follow up, highlighting the importance of longer term tracking of incentive programs.
Roland Fryer , Steven D Levitt, John A List
Cited by*: 9 Downloads*: 6

This article describes a randomized field experiment in which parents were provided financial incentives to engage in behaviors designed to increase early childhood cognitive and executive function skills through a parent academy. Parents were rewarded for attendance at early childhood sessions, completing homework assignments with their children, and for their child's demonstration of mastery on interim assessments. This intervention had large and statistically significant positive impacts on both cognitive and non-cognitive test scores of Hispanics and Whites, but no impact on Blacks. These differential outcomes across races are not attributable to differences in observable characteristics (e.g. family size, mother's age, mother's education) or to the intensity of engagement with the program. Children with above median (pre-treatment) non cognitive scores accrue the most benefits from treatment.
Roland Fryer , Steven D Levitt, John A List, Sally Sadoff
Cited by*: 43 Downloads*: 11

Domestic attempts to use financial incentives for teachers to increase student achievement have been ineffective. In this paper, we demonstrate that exploiting the power of loss aversion--teachers are paid in advance and asked to give back the money if their students do not improve sufficiently--increases math test scores between 0.201 (0.076) and 0.398 (0.129) standard deviations. This is equivalent to increasing teacher quality by more than one standard deviation. A second treatment arm, identical to the loss aversion treatment but implemented in the standard fashion, yields smaller and statistically insignificant results. This suggests it is loss aversion, rather than other features of the design or population sampled, that leads to the stark differences between our findings and past research.
Ufuk Akcigit, Fernando Alvarez, Stephane Bonhomme, George M Constantinides, Douglas W Diamond, Eugene F Fama, David W Galenson, Michael Greenstone, Lars Peter Hansen, Uhlig Harald, James J Heckman, Ali Hortacsu, Emir Kamenica, Greg Kaplan, Anil K Kashyap, Steven D Levitt, John A List, Robert E Lucas Jr., Magne Mogstad, Roger Myerson, Derek Neal, Canice Prendergast, Raghuram G Rajan, Philip J Reny, Azeem M Shaikh, Robert Shimer, Hugo F Sonnenschein, Nancy L Stokey, Richard H Thaler, Robert H Topel, Robert Vishny, Luigi Zingales
Cited by*: 0 Downloads*: 207

No abstract available
Roland Fryer , Steven D Levitt, John A List, Anya Samek
Cited by*: Downloads*:

We present the results of a novel early childhood intervention in which disadvantaged 3-4-year-old children were randomized to receive a new preschool and parents education program focused on cognitive and non-cognitive skills (CogX) or to a control group that did not receive preschool education. In addition to a typical academic year (9 month) program, we also evaluated a shortened summer version of the program (2 months) in which children were treated immediately prior to the start of Kindergarten. Both programs, including the shortened version, significantly improved cognitive test scores by about one quarter of a standard deviation relative to the control group at the end of the year. The shortened version of the program was equally as effective as the academic-year program because most of the gains in the academic-year program occurred within the first few months.
Amee Kamdar, Steven D Levitt, John A List, Brian Mullaney, Chad Syverson
Cited by*: Downloads*:

In this paper, we present the results of a two-year series of large-scale natural field experiments involving hundreds of thousands of subjects.
  • 1 of 1