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Dive into the research topics where Daniel F. Stone is active.

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Featured researches published by Daniel F. Stone.


Journal of Economics and Management Strategy | 2012

Subperfect Game: Profitable Biases of NBA Referees

Joseph Price; Marc Remer; Daniel F. Stone

This paper empirically investigates three hypotheses regarding biases of National Basketball Association referees. Identification of basketball referee bias is typically difficult as changes in observed statistics may be caused by either changes in referee bias or player behavior. We identify bias by exploiting the fact that referees have varying degrees of discretion over different types of a particular statistic-turnovers. This allows us to conduct a treatment and control-style analysis, using the less discretionary turnovers as the player behavior control. The results provide evidence that referees favor home teams, teams losing during games, and teams losing in playoff series. All three biases are likely to increase consumer demand.


National Bureau of Economic Research | 2014

MEDIA BIAS IN THE MARKETPLACE: THEORY

Matthew Gentzkow; Jesse M. Shapiro; Daniel F. Stone

We review the theoretical literature on market determinants of media bias. We present a theoretical framework that organizes many key themes in the literature, and discuss substantive lessons.


Journal of Sports Economics | 2011

Performance Under Pressure in the NBA

Zheng Cao; Joseph Price; Daniel F. Stone

The authors analyze the effects of psychological pressure on performance using National Basketball Association (NBA) free throw data from the 2002-2003 through 2009-2010 seasons. The authors find evidence that players choke under pressure— they shoot on average 5-10 percentage points worse than normal in the final seconds of very close games. Choking is more likely for players who are worse overall free throw shooters, and on the second shot of a pair after the first shot is missed. In general, performance declines as pressure increases (as game time remaining decreases, and as the score margin decreases, whether the shooter’s team is winning or losing). However, the authors find no evidence of choking when games are tied in the final 15 seconds. The authors also fail to find evidence of performance under pressure being affected by home status, attendance, and whether or not the game is in the playoffs.


Journal of Public Economics | 2015

Fox News and political knowledge

Elizabeth Schroeder; Daniel F. Stone

The effects of partisan media on political knowledge are theoretically ambiguous. Knowledge effects are important because of their close connection to welfare effects, but the existing empirical literature on knowledge is limited. We study the knowledge effects of the Fox News Channel. Following DellaVigna and Kaplan (2007), we exploit naturally random variation in Foxs availability to identify causal effects. We use knowledge survey data from 2000, 2004 and 2008; our final sample has nearly one million question-level observations. We first confirm and expand on previous findings of Fox effects on voting. We then present an array of results from our knowledge analysis. While average effects (across issues), over the full time-frame are near-zero and most precise, we find evidence of positive effects both for issues that were more favorable to Republicans and for issues that Fox covered more often, and negative effects for issues Fox neglected. We also present evidence of Fox being associated with a decline in newspaper readership.


The American Statistician | 2012

Measurement Error and the Hot Hand

Daniel F. Stone

This article shows that the first autocorrelation of basketball shot results is a highly biased and inconsistent estimator of the first autocorrelation of the ex ante probabilities with which the shots are made. Shot result autocorrelation is close to zero even when shot probability autocorrelation is close to one. The bias is caused by what is equivalent to a severe measurement error problem. The results imply that the widespread belief among players and fans in the hot hand is not necessarily a cognitive fallacy.


Journal of Risk and Uncertainty | 2014

Do We Follow Others When We Should Outside the Lab? Evidence from the AP Top 25

Daniel F. Stone; Basit Zafar

We use data from the Associated Press U.S. college football poll to analyze the ex-post optimality of social learning in a non-lab setting. The poll is a weekly subjective ranking of the top 25 teams, voted on by over 60 sports journalists. The aggregate ranks are publicly observable each week before voters update their personal ranks, so voters can potentially learn from their peers. Our results indicate that, while voters do learn from their peers to some extent, the informativeness of peer ranks appears to be under-valued.


Social Choice and Welfare | 2011

A signal-jamming model of persuasion: interest group funded policy research

Daniel F. Stone

This article analyzes a simple model of policy making under uncertainty in the presence of an interest group that may fund and lobby research. In the model, if research is not disclosed via lobbying it enters the public domain and, subsequently, is randomly observed by the policy maker (PM). Consequently, the interest group strategically chooses both whether to fund research and whether to lobby it versus let it be randomly observed. The main result is that for a range of parameter values, in equilibrium the interest group sometimes funds, but never lobbies, research. This behavior effectively “jams” the public signal of the PM, making the policy choice worse on average. This occurs despite all research being unbiased. The results provide qualified theoretical support for the value of research funding transparency and implications for the interpretation of interest group funded research.


The American economist | 2015

Clarifying (Opportunity) Costs

Daniel F. Stone

Opportunity cost is widely considered to be a fundamental concept in economics. But the definition of the term continues to be both unclear and controversial. I describe how the term is widely used in two distinct ways, both in academic and non-academic contexts. I propose a practical way for educators to clarify the concept and related terminology.


Journal of Labor Research | 2011

The Short and Long-Run Labor Market Effects of Age Eligibility Rules: Evidence from Women’s Professional Tennis

Ryan M. Rodenberg; Daniel F. Stone

Age is often used in law and public policy as a low-cost proxy for competency, maturity, and ability. Age is also used in numerous sport (and non-sport) labor markets to determine workplace eligibility. We exploit the enactment of the women’s professional tennis minimum age rule (AR) in 1995 to estimate the effects of ARs on short-run and long-run labor market outcomes. We find very limited evidence that the AR has had any systematic beneficial effect on players’ career longevity or success. Our results suggest that sport governing bodies should (re-)evaluate the efficacy and necessity of “one size fits all” age eligibility rules.


Journal of Sports Economics | 2014

Suspense-Optimal College Football Play-Offs:

Jarrod Olson; Daniel F. Stone

U.S. college football’s traditional bowl system, and lack of a postseason play-off tournament, has been controversial for years. The conventional wisdom is that a play-off would be a more fair way to determine the national champion, and more fun for fans to watch. The colleges finally agreed to begin a play-off in the 2014-2015 season, but with just four teams, and speculation continues that more teams will be added soon. A subtle downside to adding play-off teams is that it reduces the significance of regular season games. We use the framework of Ely, Frankel, and Kamenica (in press) to directly estimate the utility fans would get from this significance, that is, utility from suspense, under a range of play-off scenarios. Our results consistently indicate that play-off expansion causes a loss in regular season suspense utility greater than the gain in the postseason, implying the traditional bowl system (two team play-off) is suspense-optimal. We analyze and discuss implications for TV viewership and other contexts.

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Jeremy Arkes

Naval Postgraduate School

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Basit Zafar

Federal Reserve Bank of New York

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Jesse M. Shapiro

National Bureau of Economic Research

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Joseph Price

Brigham Young University

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Daniel H. Wood

Federal Trade Commission

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Jarrod Olson

Oregon State University

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Justin Wallace

University of Washington

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