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Laura Doval, and Alex Smolin
vol. 132, n. 7, July 2024, pp. 2451–2487
Information policies such as scores, ratings, and recommendations are increasingly shaping society’s choices in high-stakes domains. We provide a framework to study the welfare implications of information policies on a population of heterogeneous individuals. We define and characterize the Bayes...
Viktor Stojkoski, César Hidalgo, Philipp Koch, and Eva Coll
vol. 15, n. 5262, June 2024
Despite global efforts to harmonize international trade statistics, our understanding of digital trade and its implications remains limited. Here, we introduce a method to estimate bilateral exports and imports for dozens of sectors starting from the corporate revenue data of large digital firms....
Nils Köbis, Alicia von Schenk, Victor Klockmann, Jean-François Bonnefon, and Iyad Rahwan
June 2024
Humans, aware of the social costs associated with false accusations, are generally hesitant to accuse others of lying. Our study shows how lie detection algorithms disrupt this social dynamic. We develop a supervised machine-learning classifier that surpasses human accuracy and conduct a large-...
Andrea Guido, Maxime Derex, and Rustam Romaniuc
vol. 154, June 2024, pp. 51–76
The sharing of valuable information is at the root of both economic growth and societal welfare. However, individuals and organizations face a social dilemma when deciding whether to share information with others: while sharing can create positive externalities, it may also reduce one’s competitive...
Abdelaati Daouia, Gilles Stupfler, and Antoine Usseglio-Carleve
vol. 34, n. 130, June 2024
The expectile is a prime candidate for being a standard risk measure in actuarial and financial contexts, for its ability to recover information about probabilities and typical behavior of extreme values, as well as its excellent axiomatic properties. A series of recent papers has focused on...
Andreas Gerster, and Stefan Lamp
This paper investigates the impact of a large electricity tax exemption on production levels, employment, and input choices in the German manufacturing industry. For two policy designs, we show that exempted plants increase their electricity use. This effect is larger under a notched exemption...
Koen Jochmans
vol. 242, n. 2 (105805), June 2024
This paper concerns the analysis of network data when unobserved node-specific heterogeneity is present. We postulate a weighted version of the classic stochastic block model, where nodes belong to one of a finite number of latent communities and the placement of edges between them and any weight...
Helia Costa, Lilas Demmou, Guido Franco, and Stefan Lamp
vol. 239, n. 111741, June 2024
Despite ambitious carbon reduction targets set by policymakers worldwide, current investments fall well short of the net-zero emissions scenario. This paper investigates the impact of financing constraints (FCs) on green investment among large, publicly listed firms across diverse sectors and...
Victor Gay, Paula Gobbi, and Marc Goni
vol. 84, June 2024, pp. 49–60
This article describes the construction and content of an atlas of local jurisdictions of Ancien Régime France: bailliages. Bailliages were at the center of the Ancien Régime's jurisdictional apparatus: they administered the ordinary royal justice, delineated the area of influence of heterogeneous...
Albert J. Menkveld, Anna Dreber, Felix Holzmeister, Juergen Huber, Magnus Johannesson, Michael Kirchler, Michael Razen, Utz Weitzel, Fany Declerck, and Sophie Moinas
vol. 79, n. 3, June 2024, pp. 2339–2390
In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across...
