2026

最新文章

• Enterprise Risk Management and Management Earnings Forecasts AI翻译
  作者：Li, Chan; Stack, Kristin; Sun, Lili; Xu, Jianren
  作者单位：University of Kansas; University of North Texas System; University of North Texas Denton
  摘要：Enterprise risk management (ERM) is an institutional agenda emphasizing holistic risk oversight and strategic planning. This study examines whether and how the adoption of ERM affects management earnings forecasts. We first document that ERM adoption increases the likelihood and accuracy of management earnings forecasts. We then provide evidence that ERM adoption improves forecast quality by reducing the volatility of fundamentals and enhancing managers' ability to assess both internal and ext...
• Adaptive Data Acquisition for Personalized Recommendations with Optimality Guarantees on Short-Form Video Platforms AI翻译
  作者：Cao, Tunyu; Leng, Yan
  作者单位：University of Texas System; University of Texas Austin
  摘要：The recent surge in the popularity of short-form video (SFV) on digital platforms has led to massive numbers of videos and ever-evolving topics. As a result, the task of making personalized recommendations has become increasingly challenging. We introduce a new pure exploration problem on SFV platforms: finding a (K, EH, EL)-optimal set that includes all recommendations within the EL-optimality gap and that excludes those beyond the EH-optimality gap relative to the best arm with a capacity li...
• Blinded versus Unblinded Review: A Field Study on the Equity of Peer-Review Processes AI翻译
  作者：Pleskac, Timothy J.; Kyung, Ellie J.; Chapman, Gretchen B.; Urminsky, Oleg
  作者单位：Indiana University System; Indiana University Bloomington; Babson College; Carnegie Mellon University; University of Chicago
  摘要：Blinded review is often proposed as a solution to inequities in merit-based evaluations. We tested this claim in a high-stakes field experiment comparing single-blind review (reviewer identities withheld) and double-blind review (reviewer and author identities withheld) for 530 academic conference submissions. On reliability, both processes showed moderate reliability, leading to only 40% overlap among top-rated submissions. This low overlap indicates that differences between review systems pa...
• How the Design of Ranking Systems and Ability Affects Physician Effort AI翻译
  作者：Huesmann, Katharina; Ndiaye, Yero Samuel; Waibel, Christian; Wiesen, Daniel
  作者单位：University of Munster; University of Cologne; Max Planck Society; University of Cologne; Erasmus University Rotterdam - Excl Erasmus MC; Erasmus University Rotterdam
  摘要：Although relative performance feedback in the form of rankings appears to be effective in improving health outcomes, it may have either motivating or demotivating effects for individual physicians. Potential factors influencing such effects include a physician's ability and the design of the ranking system itself; however, there is limited understanding of these factors. Using a controlled lab-in-the-field experiment with practicing and future physicians as subjects (N = 352), we systematicall...
• Improving Human Sequential Decision Making with Reinforcement Learning AI翻译
  作者：Bastani, Hamsa; Bastani, Osbert; Sinchaisri, Wichinpong Park
  作者单位：University of Pennsylvania; University of Pennsylvania; University of California System; University of California Berkeley
  摘要：Workers spend a significant amount of time learning how to make good decisions. Evaluating the efficacy of a given decision, however, can be complicated-for example, decision outcomes are often long-term and relate to the original decision in complex ways. Surprisingly, even though learning good decision-making strategies is difficult, the strategies can often be expressed in simple and concise forms. Focusing on sequential decision making, we design a novel machine learning algorithm that is ...
• Learning in Recovery from Disruption: Empirical Evidence from the US Drug Shortages AI翻译
  作者：Lee, Hyun Seok (Huck); Lee, Junghee; Noh, In Joon; Staats, Bradley R.
  作者单位：Korea University; University of Notre Dame; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine
  摘要：U.S. hospitals continue to face chronic shortages of essential drugs, jeopardizing patient care and driving up costs. Although prior work has identified the structural and economic drivers of these shortages, little is known about whether pharmaceutical plants accumulate operational knowledge from their recovery efforts-tasks that are often irregular and ill-defined. We assemble a unique data set linking 4,741 drug shortages (2015-2020) to 136 finished dosage form plants to examine whether-and...
• The Age Gap in Mortgage Access AI翻译
  作者：Amornsiripanitch, Natee
  作者单位：Federal Reserve System - USA; Federal Reserve Bank - Philadelphia
  摘要：This paper uses a large data set of single family home mortgage applications to study the relationship between borrower age and application outcomes. Conditional on a rich set of observable characteristics, age is positively correlated with rejection probability and coupon rate. The results hold for young borrowers, implying that age, not just old age, is an important determinant of mortgage application outcomes. Empirical tests that exploit COVID-19 suggest that the rejection probability resu...
• The Hidden Costs of Fairness in Platform Markets: The Dynamics of Lowering Developer Royalty Rates AI翻译
  作者：Conti, Annamaria; Santal, Juan
  作者单位：IE University
  摘要：Multisided platforms crucially rely on indirect network effects. When trying to strengthen these effects, platform owners face a fundamental challenge, namely, designing incentives to enhance developer effort and simultaneously ensuring the release of highquality products on the platform. This paper highlights the costs associated with lowering royalty rates to boost developer effort, as such reductions increase the relative supply of lower-quality offerings, worsening information congestion p...
• Expectations Matter: When (Not) to Use Machine Learning Earnings Forecasts AI翻译
  作者：Campbell, John L.; Ham, Harrison; Lu, Zhongjin (Gene); Wood, Katherine
  作者单位：University System of Georgia; University of Georgia; Clemson University; University System of Georgia; University of Georgia; Oklahoma State University System; Oklahoma State University - Stillwater
  摘要：We comprehensively examine the usefulness of machine learning technology to predict a firm's earnings and offer three main findings. First, although prior literature suggests machine learning can offer better earnings forecasts than analysts, we show that this result is highly sensitive to machine learning model specification choices (i.e., 80% of evaluated machine forecasts fail to beat analysts). Second, we examine why the most accurate machine learning forecast consistently beats analysts, ...
• Forced Ranking Systems and Gender Gaps in Job Tenure AI翻译
  作者：Yan, Shuo; Li, Shaobo (Kevin); Houser, Daniel; Ge, Chunmian; Zhuo, Jiayi
  作者单位：Zhejiang University; Southern University of Science & Technology; George Mason University; South China University of Technology; Macau University of Science and Technology
  摘要：Using career history data from employees' online profiles, we provide empirical evidence regarding how human resources systems can affect the gender gap in job tenure. Our results indicate that female workers experience shorter average job tenure than male workers. Our results further show that abandoning forced ranking systems helps to narrow this gender gap. We present experimental evidence indicating that in forced ranking environments, women experience shorter tenure than men and are more ...