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Zaineb Smida, Thibault Laurent et Lionel Cucala
n° 24-1583, octobre 2024
A scan method for functional data indexed in space has been developed. The scan statistic is derived from the Hotelling test statistic for functional data, extending the univariate and multivariate Gaussian spatial scan statistics. This method consistently outperforms existing techniques in...
Sabrine Bair, Josepa Miquel-Florensa et Hakan Ozyilmaz
n° 24-1582, octobre 2024
This study examines the underadoption of digital wallets as network goods through a field experiment conducted in Jordan. We elicit consumers’ and merchants’ willingness-to-pay (WTP) for interoperable mobile wallets using an incentive-compatible mechanism and measure their expectations regarding...
Felix Dammann, Néofytos Rodosthenous et Stéphane Villeneuve
n° 24-1481, octobre 2024
We introduce a non-zero-sum game between a government and a legislative body to study the optimal level of debt. Each player, with different time preferences, can intervene on the stochastic dynamics of the debt-to-GDP ratio via singular stochastic controls, in view of minimiz-ing non-continuously...
vol. 90, n° 52, octobre 2024, révision 10 juin 2026
Olivier Faugeras
n° 24-1580, octobre 2024, révision novembre 2025
The presence of zeroes in Compositional Data (CoDa) is a thorny issue for Aitchison’s classical log-ratio analysis. Building upon our previous geometric approach (Faugeras (2023)), we study the full CoDa simplex from the perspective of affine geometry. This view allows to regard CoDa as points (and...
Ana Gazmuri
vol. 238, n° 105176, octobre 2024
This paper uses a reform to Chile’s school choice system to study student socioeconomic segregation with a focus on student demand and school selectivity. The reform increases the subsidies that schools receive for low socioeconomic status students. I exploit this shock to schools’ incentives to...
Jean-François Bonnefon et Bence Bago
vol. 385, septembre 2024, p. 1164–1165
Generative artificial intelligence (AI) has received broad criticism for its role in spreading misinformation (1–5). In its 2024 Global Risks Report, the World Economic Forum ranked AI-amplified misinformation as one of the most severe risks that the world currently faces (6). In this context,...
Philipp Koch, Viktor Stojkoski et César Hidalgo
vol. 121 (39), n° e2402060121, septembre 2024
Can we use data on the biographies of historical figures to estimate the GDP per capita of countries and regions? Here, we introduce a machine learning method to estimate the GDP per capita of dozens of countries and hundreds of regions in Europe and North America for the past seven centuries...
Daniel L. Chen, Seda Ertac, Theodoros Evgeniou, Xin Miao, Ali Nadaf et Emrah Yilmaz
vol. 9, n° 57, septembre 2024
Grit, a non-cognitive skill that indicates perseverance and passion for long-term goals, has been shown to predict academic achievement. This paper provides evidence that grit also predicts student outcomes during the challenging period of the Covid-19 pandemic. We use a unique dataset from a...
Sultan Mehmood, Shaheen Naseer et Daniel L. Chen
vol. 170, n° 103317, septembre 2024
Randomizing different schools of thought in training altruism finds that training junior deputy ministers in the utility of empathy renders at least a 0.4 standard deviation increase in altruism. Treated ministers increased their perspective-taking: blood donations doubled, but only when blood...