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James K. Hammitt, and Seung Kyum Kim

n. 114, August 2022, p. 3743–3761

This paper uses the difference-in-differences method to assess how home prices change in the periods after major hurricanes in Miami-Dade County and links these changes to risk-perception determinants that affect market participants’ determination of the prices they are willing to accept or pay....

Mateo Montenegro, and Natalia Garbiras-Diaz

vol. 112, n. 8, August 2022, pp. 2631–2668

Can information and communication technologies help citizens monitor their elections? We analyze a large-scale field experiment designed to answer this question in Colombia. We leveraged Facebook advertisements sent to over 4 million potential voters to encourage citizen reporting of electoral...

Zhe Huang, Xinyue Zhang, Ruofan Wang, and Daniel L. Chen (eds.)

Cambridge University Press, August 2022

Do US Circuit Courts' decisions on criminal appeals influence sentence lengths imposed by US District Courts? This Element explores the use of high-dimensional instrumental variables to estimate this causal relationship. Using judge characteristics as instruments, this Element implements two-stage...

Sabine Noebel, Magdalena Monier, Laura Fargeot, Guillaume Lespagnol, Etienne Danchin, and Guillaume Isabel

August 2022

Acceptance and avoidance can be socially transmitted, especially in the case of mate choice. When a Drosophila melanogaster female observes a conspecific female (called demonstrator female) choosing to mate with one of two males, the former female (called observer female) can memorize and copy the...

Sébastien Gadat, and Ioana Gavra

n. 228, August 2022, pp. 1–54

This paper studies some asymptotic properties of adaptive algorithms widely used in optimization and machine learning, and among them Adagrad and Rmsprop, which are involved in most of the blackbox deep learning algorithms. Our setup is the non-convex landscape optimization point of view, we...

Javier Fernández-López de Pablo, Valéria Romano, Maxime Derex, Erik Gjesfjeld, Claudine Gravel-Miguel, Marcus J. Hamilton, Andrea Bamberg Migliano, Felix Riede, and Sergi Lozano

vol. 37, n. 8, August 2022, pp. 632–636

Hunter–gatherers past and present live in complex societies, and the structure of these can be assessed using social networks. We outline how the integration of new evidence from cultural evolution experiments, computer simulations, ethnography, and archaeology open new research horizons to...

Pierre Dubois, Rachel Griffith, and Martin O'Connell

vol. 14, August 2022

The adoption of barcode scanning technology in the 1970's gave rise to a new form of data; scanner data. Soon afterwards researchers began using this new resource, and since then a large number of papers have exploited scanner data. The data provide detailed price, quantity and product...

Andrea Attar, Thomas Mariotti, and François Salanié

vol. 63, n. 3, August 2022, pp. 981–1020

We study insurance markets in which privately informed consumers can purchase coverage from several firms whose pricing strategies are subject to an anti-dumping regulation. The resulting regulated game supports a single allocation in which each layer of coverage is fairly priced given the consumer...

Jacques Crémer, Gary Biglaiser, and André Veiga

vol. 53, n. 3, August 2022, pp. 453–483

We study incumbency advantage in markets with positive consumption externalities. Users of an incumbent platform receive sto- chastic opportunities to migrate to an entrant and can either accept them or wait for a future opportunity. In some circumstances, users have incentives to delay migration...

Radu Dragomir, Adrien B. Taylor, Jérôme Bolte, and Alexandre D'Aspremont

vol. 194, July 2022, pp. 41–83

We provide a lower bound showing that the O(1/k) convergence rate of the NoLips method (a.k.a. Bregman Gradient or Mirror Descent) is optimal for the class of problems satisfying the relative smoothness assumption. This assumption appeared in the recent developments around the Bregman Gradient...