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作者:Girotra, Karan; Katok, Elena; Albe, Victor Martinez de; Song, Jeannette; Swaminathan, Jayashankar
作者单位:Cornell University; University of Texas System; University of Texas Dallas; University of Navarra; Duke University; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine
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作者:Bai, Jennie; Rub, Hong
作者单位:Georgetown University; National Bureau of Economic Research; Nanyang Technological University
摘要:We study how the implementation of emissions trading systems (ETSs) impacts emissions reductions and the usage of renewable energy using a panel sample of the largest 100 countries worldwide. Exploiting cross-country variations in ETS implementations, we show that ETS adoption materially reduced greenhouse gas (carbon dioxide) emissions by 12.1% (18.1%). Moreover, ETSs reduced overall emissions by cutting the usage of fossil fuels such as coal by 23.70% while boosting the usage of renewable en...
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作者:Koelle, Felix; Lauer, Thomas
作者单位:University of Cologne; University of Erfurt
摘要:Cooperation between individuals, a critical component of organizational and societal success, typically involves costs and benefits that accrue at different points in time. Using a series of controlled experiments, this paper provides a comprehensive analysis of the determinants of cooperation in an intertemporal context. Our findings demonstrate that cooperation is significantly reduced when the benefits of cooperation are shifted into the future, whereas delaying costs leads to an increase i...
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作者:Paolacci, Gabriele; Andre, Quentin
作者单位:Erasmus University Rotterdam; Erasmus University Rotterdam - Excl Erasmus MC; University of Colorado System; University of Colorado Boulder
摘要:Most theories of decision making under risk assume that payoffs and probabilities are separable. In the context of a lottery, the subjective value of a prospective outcome (the payoff) is assumed to be independent of the likelihood that the outcome will occur (the probability). In violation of this assumption, we present eight experiments showing that people anticipate less utility from uncertain outcomes than from certain outcomes, even conditional on their realization. The devaluation of unc...
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作者:Holburn, Guy L. F.; Maxwell, John W.; Bonardi, Jean-Philippe
作者单位:Western University (University of Western Ontario); Indiana University System; Indiana University Bloomington; IU Kelley School of Business; University of Lausanne
摘要:We use a game-theoretic model to examine how different types of activist motivation affect strategic interactions between an activist and a firm in the context of a threatened adversarial engagement, in which the activist can benefit from warm glow and media publicity as well as from firm compliance with activist demands. The model yields novel predictions about when firms prefer to self-regulate to pre-empt a contested engagement, how vigorously firms defend themselves against the activist's ...
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作者:Grant, Stephanie M.; Hobson, Jessen L.; Sinha, Roshan K.
作者单位:University of Washington; University of Washington Seattle; Indiana University System; Indiana University Bloomington; IU Kelley School of Business
摘要:As coined by the SEC, Digital Engagement Practices (DEPs) are visual cues and design features to engage investors on mobile trading platforms. With the rise of mobile stock trading, regulators and other capital market participants are concerned that these DEPs may cause retail investors to trade in ways they otherwise would not. Using an experiment, we examine the impact of two common DEPs in mobile trading platforms- color (i.e., the use of green or red to indicate performance) and allowing i...
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作者:Alfitian, Jakob; Sliwka, Dirk; Vogelsang, Timo
作者单位:University of Cologne; Frankfurt School Finance & Management
摘要:Monetary incentives are widely used to align employee actions with employer objectives. We conducted a field experiment in a retail chain to evaluate whether an attendance bonus could reduce employee absenteeism. Apprentices in 232 stores were randomly assigned to a control group or one of two treatment groups in which a monetary or time-off attendance bonus was introduced for one year. We find that neither variant of the attendance bonus led to a systematic reduction in absenteeism. On the co...
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作者:Portocarrero, Florencio F.; Burbano, Vanessa C.
作者单位:Columbia University
摘要:Short-term corporate social impact activities, wherein employees participate in firm-sponsored prosocial initiatives, are becoming increasingly common. However, it remains unclear whether short-term social impact activities affect employee behavior in a manner of relevance to the firm. Theoretically, arguments could be made in favor of or against the likelihood that such short-term activities would increase firm-benefitting employee behavior. We utilized data from a randomized field experiment...
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作者:Peukert, Christian; Sen, Ananya; Claussen, Jorg
作者单位:University of Lausanne; Carnegie Mellon University; University of Munich; Copenhagen Business School
摘要:We run a field experiment to study the relative performance of human curation and automated personalized recommendation technology in the context of online news. We build a simple theoretical model that captures the relative efficacy of personalized algorithmic recommendations and curation based on human expertise. We highlight a critical tension between detailed, yet potentially narrow, information available to the algorithm versus broad (often private), but not scalable, information availabl...
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作者:Adam, Hammaad; He, Pu; Zheng, Fanyin
作者单位:Massachusetts Institute of Technology (MIT); Columbia University
摘要:Random coefficient multinomial logit models are widely used to estimate customer preferences from sales data. However, these estimation models can only allow for products with positive sales; this selection leads to highly biased estimates in long tail markets, that is, markets where many products have zero or low sales. Such markets are increasingly common in areas such as online retail and other online marketplaces. In this paper, we propose a two-stage estimator that uses machine learning t...