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Perttu Saarela, Klaus Nordhausen, Jaakko Pere et Anne M. Ruiz
n° 2605.19861, mai 2026
Stationary subspace analysis (SSA) is a blind source separation framework that decomposes linearly mixed multivariate data into stationary and nonstationary components. We extend SSA to spatially indexed data by introducing spatial stationary subspace analysis (spSSA), which explicitly accounts for...
Valérie Heller et Koen Jochmans
n° 26-1754, mai 2026
Fixed-effect estimators for panel data models suffer from bias. In an n × m panel the bias is usually of order 1/m, implying that it is non-negligible unless n/m → 0. Moreover, the limit distribution features a bias term when n and m grow at the same rate. A recent literature has shown that...
Benjamin Pitt, Elena Leib, David O’Shaughnessy, Charlene Gallardo, Stephen Ferrigno et Steven T. Piantadosi
mai 2026
Humans are unique in our ability to acquire diverse skills and inhabit myriad environments, but the cognitive mechanisms underlying such fast, flexible learning remain unresolved. Inspired by theories of artificial intelligence, here we show evidence for one such learning mechanism - program...
Jean-Pierre Amigues
n° 26-1749, mai 2026
The energy transition is often described as a ’wall of investment’ issue. But not only renewable energy expansion must cope with the carbon free energy needs result-ing from the Paris agreement but most of the present day fossil energy production capital will have to be abandoned by the middle of...
André Grimaud, Gilles Lafforgue et Luc Rougé
n° 26-1748, mai 2026
Degrowth is often advocated as a response to the climate crisis, but its consistency with growth theory remains unclear. We develop an endogenous growth model of directed technical change and climate in which the economy relies on both a polluting fossil resource and a clean renewable alternative....
Josephine Gantois, Anouch Missirian, Evelina Linnros, Anna Tompsett, Amir Jina, Gordon C. McCord et Eyal G. Frank
n° 35215, mai 2026
Monitoring systems for disaster prevention are costly, and measuring benefits is difficult when monitoring effort is endogenous. We provide the first causal estimate of one such system's impact using three decades of desert locust monitoring data. We document conflict-induced interruptions to...
Peiyao Ma, Andrea Mantovani, Carlo Reggiani, Annette Broocks et Nestor Duch-Brown
mai 2026, à paraître
Dominant platforms like Booking.com have often imposed Price Parity Clauses to prevent lower prices on alternative sales channels. We provide quasi-experimental evidence on the removal of these price restrictions in France in 2015 for three major global hotel groups. Our analysis reveals limited...
Manh-Hung Nguyen
n° 26-1746, mai 2026
Anticipated carbon pricing and biodiversity regulation turn agricultural subsidies into stranded assets. In a continuous-time model of partially irreversible capital under Poisson policy arrival, calibrated to Danish dairy, the stranding loss is strictly convex in the capital overhang. Under full...
Jay Pil Choi, Doh-Shin Jeon et Domenico Menicucci
n° 26-1745, mai 2026
This paper examines how competition affects the timing of AI deployment under safety risk. We show that competition can generate two distortions relative to joint–profit maximization: a race to the bottom and insufficient entry. A race to the bottom arises when first-mover advantages induce...
Olivier Faugeras
n° 26-1744, mai 2026
Compositional data (CoDa) are scale-invariant by nature, and their analysis traditionally relies on log-ratio transformations. A cornerstone of the Aitchison school is the principle of subcompositional coherence: analyses should be consistent when focusing on any subset of parts, a property that...
