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作者：Wang, Wenjia; Wang, Yanyuan; Zhang, Xiaowei
作者单位：Hong Kong University of Science & Technology (Guangzhou); Hong Kong University of Science & Technology
摘要：Nested simulation concerns estimating functionals of a conditional expectation via simulation. In this paper, we propose a new method based on kernel ridge regression to exploit the smoothness of the conditional expectation as a function of the multidimensional conditioning variable. Asymptotic analysis shows that the proposed method can effectively alleviate the curse of dimensionality on the convergence rate as the simulation budget increases, provided that the conditional expectation is suf...
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作者：Hu, Xiyang; Huang, Yan; Li, Beibei; Lu, Tian
作者单位：Arizona State University; Arizona State University-Tempe; Carnegie Mellon University; Carnegie Mellon University
摘要：Prior work on human-algorithmic bias has seen difficulty in empirically identifying the underlying mechanisms of bias because in a typical one-time decision-making scenario, different mechanisms generate the same patterns of observable decisions. In this study, leveraging a unique repeat decision-making setting in a high-stakes microlending context, we aim to uncover the underlying source, evolution dynamics, and associated impacts of bias. We first develop a structural econometric model of th...
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作者：de Haan, Thomas; Knutsen, Magnus Vage
作者单位：University of Bergen; BI Norwegian Business School; BI Norwegian Business School
摘要：In this article, we investigate how information about production externalities, such as ecolabels, can be presented to create market pressure on firms to reduce these externalities. Specifically, we explore whether integrating information on externalities with consumer product ratings into a single combined rating can generate pressure to reduce externalities from all consumers, not just environmentally conscious ones. Theoretically, we demonstrate the existence of an equilibrium where produce...
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作者：Kirgios, Erika L.; Athey, Susan; Duckworth, Angela L.; Karlan, Dean; Luca, Michael; Milkman, Katherine L.; Offer-Westort, Molly
作者单位：University of Chicago; Stanford University; University of Pennsylvania; University of Pennsylvania; Northwestern University; Johns Hopkins University; University of Chicago
摘要：Effective information sharing is critical for the success of organizations and governments. Because information that is easy to access is more likely to be adopted, leaders often minimize friction in information delivery. However, one type of friction may increase engagement: piquing curiosity by posing relevant questions prior to sharing information. To test this, we shared identical information about COVID-19 in either question-andanswer format or via direct statements across two preregister...
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作者：Ferrali, Romain
作者单位：Aix-Marseille Universite; Centre National de la Recherche Scientifique (CNRS)
摘要：Honest and dishonest behaviors may both diffuse among the members of an organization. Knowing which of the two spreads faster is important because it impacts the extent to which managers will need to resort to other, potentially more costly solutions to curb dishonest behavior. Assessing empirically which of honest behavior or dishonest behavior spreads faster is challenging because this requires field measurements of social relationships and dishonest behavior of individual members, which pos...
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作者：Chateauneuf, Alain J.; Maccheroni, Fabio A.; Zank, Horst
作者单位：heSam Universite; Universite Pantheon-Sorbonne; Paris School of Economics; Bocconi University; University of Manchester
摘要：For standard preferences under uncertainty, minimal requirements are proposed to identify cardinal utility and subjective, potentially nonadditive, beliefs. This is achieved through an application of betting consistency. This preference principle says that outcome midpoints derived from preferences over bets on an event are also midpoints when elicited from bets on a different event. This consistency requirement provides a simplified elicitation tool, while it also serves as a robustness test ...
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作者：Zednik, Anita
作者单位：Vienna University of Economics & Business
摘要：Most school choice matching mechanisms employed in theory and practice assume that schools rank students by characteristics that cannot be manipulated. However, parents may have incentives to misstate information used for determining school priorities, such as the proximity of the residential address to a school, particularly when such misrepresentations are difficult to detect or carry minimal penalties. If manipulation of school priorities occurs, the efficiency and fairness of the matching ...
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作者：Jansen, Mark; Kruger, Samuel; Maturana, Gonzalo
作者单位：Utah System of Higher Education; University of Utah; University of Texas System; University of Texas Austin; Emory University
摘要：Do dealers use their financing discretion to charge higher interest rate markups to high-risk customers? We use unique transaction-level data to examine finance and vehicle profits in the subprime auto market with three main results. First, financing subprime customers is costly for dealerships because of loan discounts that are only partially offset by proceeds from interest rate markups. Second, financing is costliest to dealers for deep subprime customers with low credit scores and low inco...
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作者：Liu, Keqin
作者单位：Xi'an Jiaotong-Liverpool University
摘要：This paper addresses an important class of restless multiarmed bandit (RMAB) problems that finds broad application in operations research, stochastic optimization, and reinforcement learning. There are N independent Markov processes that may be operated, observed and offer rewards. Due to the resource constraint, we can only choose a subset of M (M < N) processes to operate and accrue reward determined by the states of selected processes. We formulate the problem as a partially observable RMAB...
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作者：Simester, Duncan; Timoshenko, Artem; Zoumpoulis, Spyros I.
作者单位：Massachusetts Institute of Technology (MIT); Northwestern University; INSEAD Business School
摘要：We propose an approach for determining the sample size required when using an experiment to train and certify a targeting policy. Calculating the rate at which the performance of a targeting model improves with additional training data is a complex problem. We address this challenge by assuming that customers are grouped into segments that capture relevant information about their responsiveness to the firm's marketing actions. We consider two problem formulations. The first formulation identif...
