Recherche avancée

Marc Ivaldi, Nicolas Petit et Selçukhan Unekbas

n° 23-1420, mars 2023, révision octobre 2024

Do established firms buy new businesses to take out future competition? Recent works in economics literature use “killer acquisitions” as a graphic concept to describe these transactions. How concerned should competition policy be? The answer to this question hinges on how much the “theory” of...

Pierre Fleckinger, David Martimort et Nicolas Roux

n° 23-1421, mars 2023, révision janvier 2024

What is the most efficient way of designing incentives for a group of agents? Over the past five decades, agency theory has provided various answers to this crucial question. This line of research has argued that, depending on the specific organizational context, the best channel for providing...

Stefan Ambec et Yuting Yang

n° 23-1422, mars 2023, révision octobre 2023

Trade reduces the effectiveness of climate policies such as carbon pricing when domestic products are replaced by more carbon-intensive imports. We investigate the impact of unilateral carbon pricing on electricity generation in a country open to trade through interconnection lines. We characterize...

Hillard Kaplan, Paul L. Hooper, Margaret Gatz, Wendy Mack, Meng Law, Helena Chui, Linda Sutherland, James Sutherland, Christophe J. Rowan, L. Samuel Wann, Adel H. Allam, Randall C. Thompson, David E. Michalik, Guido Lombardi, Michael I. Miyamoto, Daniel Eid Rodriguez, Adrian Juan Copajira, Raul Quispe Gutierrez, Bret A. Beheim, Edmond Seabright, Daniel Cummings, Sarah Alami, Angela Garcia, Kenneth Buetow, Caleb Finch, Gregory Thomas, Benjamin C. Trumble, Jonathan Stieglitz, Michael Gurven et Andrei Irimia

vol. 120, n° 13, mars 2023

Little is known about brain aging or dementia in nonindustrialized environments that are similar to how humans lived throughout evolutionary history. This paper examines brain volume (BV) in middle and old age among two indigenous South American populations, the Tsimane and Moseten, whose...

Pierre Dubois, Gosia Majewska et Valentina Reig

n° 23-1417, mars 2023

Drug shortages are a problem widely documented around the world. We develop a simple method allowing to identify shortage events and their intensity using sales data at a national level. In the case of prescription drugs, shortages occur when the quantities supplied do not meet demand at regulated...

Christian Bontemps, Cristina Gualdani et Kevin Remmy

n° 23-1415, mars 2023, révision 2 juillet 2025

We develop a two-stage game in which competing airlines first choose the networks of markets to serve in the first stage before competing in price in the second stage. Spillovers in entry decisions across markets are allowed, which accrue on the demand, marginal cost, and fixed cost sides. We show...

Michele Bisceglia, Salvatore Piccolo et Emanuele Tarantino

vol. 87, n° 102919, mars 2023

Two firms propose a merger to the antitrust authority. They are uninformed about the efficiencies generated by the merger, but can hire an expert to gather information on their behalf. The authority is also uninformed about the merger’s efficiencies, but can run a costly internal investigation to...

Jeffrey A. Friedman

vol. 8, n° 1, mars 2023

Le présent article évalue les idées progressistes qui émergent au sujet de la grande stratégie des États-Unis. L'hypothèse distinctive de l'analyse des progressistes est que l'inégalité structurelle nuit aux intérêts nationaux des États-Unis. Pour remédier à ce problème, les progressistes suggèrent...

Tuan Anh Luong, Manh-Hung Nguyen, N.T. Khuong Truong et Kien Le

vol. 77, mars 2023, p. 326–336

This paper investigates the extent to which individual migration decisions in Vietnam can be driven by climate change, based on the historical rainfall data from 70 weather stations in Vietnam and the Vietnam Access to Resources Household Survey. Utilizing the exogenous variation in the rainfall...

Charlotte Cavaillé, Karine Van Der Straeten et Daniel L. Chen

n° 23-1424, mars 2023

Survey design often approximates a prediction problem: the goal is to select instruments that best predict the value of an unobserved construct or a future outcome. We demonstrate how advances in machine learning techniques can help choose among competing instruments. First, we randomly assign...