Recherche avancée

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...

Colombe Becquart, Aurore Archimbaud, Anne Ruiz-Gazen, Luka Prilé et Klaus Nordhausen

n° 24-1579, septembre 2024

Invariant Coordinate Selection (ICS) is a multivariate technique that relies on the simultaneous diagonalization of two scatter matrices. It serves various purposes, including its use as a dimension reduction tool prior to clustering or outlier detection. Unlike methods such as Principal Component...

Alexandre de Cornière et Greg Taylor

vol. 70, n° 9, septembre 2024, p. 5627–6482

We study mergers between firms operating in data-connected markets: the data generated as a byproduct of the activity on market A can be used by firms operating on market B. The effects of such a merger depend on whether data trade among independent firms is possible, and on whether data use...

André Grimaud et Elie Gray

n° 24-1577, septembre 2024

We formalize inter-sectoral knowledge diffusion in a standard fully endogenous Schumpeterian growth model. Each sector is simultaneously sending and receiving knowledge; thereby, to produce new knowledge, the research and development activity of each sector draws from a pool of knowledge which...

Alexandre de Cornière et Greg Taylor

n° 24-1576, septembre 2024

We study mergers between firms operating in data-connected markets: the data generated as a byproduct of the activity on market A can be used by firms operating on market B. The effects of such a merger depend on whether data trade among independent firms is possible, and on whether data use...

Emmanuelle Auriol et Alexia Gonzalez Fanfalone

n° 1573, septembre 2024

This paper studies how Mobile Network Operator (MNO) impacts traditional banks’ coverage decision in a model of vertical and horizontal differentiation with asymmetric transportation costs. The competitive pressure triggered by MNOs entry on traditional banking sector leads to prices decrease and...

Mathias Reynaert, Wenxuan Xu et Hanlin Zhao

n° 24-1571, septembre 2024, révision mars 2025

Agents often make choices by forming expectations about attributes, but such expectations are usually unobserved by researchers. We develop two methods for estimating discrete choice models where agents use unobserved heterogeneous information sets to form expectations. Preferences are point-...

Amirreza Ahmadzadeh

n° 24-1570, septembre 2024

This paper examines a principal-agent model that the princi-pal mandates actions and conducts costly inspections without transfers. The principal prefers lower actions, while the agent prefers higher ac-tions and has private information about his type. The agent is protected by ex-post...