Publications

Publications

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2024 / Jacob Stærk-Østergaard, Anders Rahbek, Susanne Ditlevsen

High-Dimensional Cointegration and Kuramoto Inspired Systems

SIAM Journal on Applied Dynamical Systems, Vol. 23, Iss. 1 (2024)
2025 / Tommaso Di Francesco, Cars Hommes

Sentiment-driven speculation in financial markets with heterogeneous beliefs: A machine learning approach

Journal of Economics Dynamics and Control, Vol. 175
2025 / Luca Gerotto, Paolo Pellizzari, Marco Tolotti

Fleeting extinction? Unraveling the persistence of noise traders in financial markets with learning and replacement

Journal of Evolutionary Economics
2024 / Victor Sarto i Monteys, Ivan Savin, Glòria Torras Tutusaus, Mònica Bedós Balsach

New evidence on the spread in Catalonia of the invasive longhorn beetle, Xylotrechus chinensis, and the efficacy of abamectin control

Scientific Reports, 14, 26754 (2024)
2025 / Franziska Tinnefeld, Julia Swart, Elena Fumagalli

The green knowledge space: Climate change mitigation technologies in developing countries

Environmental Innovation and Societal Transitions, 55, 100944
2024 / Sarah Mignot, Paolo Pellizzari und Frank Westerhoff

Fake News and Asset Price Dynamics

Journal of Economics and Statistics
2024 / M. Alperen Yasar

The emergence of discrimination due to miscategorization

International Journal of Organization Theory & Behavior, Vol. ahead-of-prin
2024 / Michel Grabisch, M. Alperen Yasar

Frequentist belief update under ambiguous evidence in social networks

International Journal of Approximate Reasoning, Vol. 172 (109240)
2024 / Predrag Pilipovic, Adeline Samson, Susanne Ditlevsen

Parameter estimation in nonlinear multivariate stochastic differential equations based on splitting schemes

The Annals of Statistics, Vol. 52, No. 2, 842-867
2024 / Catarina Midões, Enrica De Cian, Giacomo Pasini, Sara Pesenti, and Malcolm N. Mistry

SHARE-ENV: A Data Set to Advance Our Knowledge of the Environment–Wellbeing Relationship

Environ. Health, 2, 95-104
Summary
Climate change interacts with other environmental stressors and vulnerability factors. Some places and, owing to socioeconomic conditions, some people, are far more at risk. The data behind current assessments of the environment–wellbeing nexus is coarse and regionally aggregated, when considering multiple regions/groups; or, when granular, comes from ad hoc samples with few variables. To assess the impacts of climate change, we require data that are granular and comprehensive, both in the variables and population studied. We build a publicly accessible data set, the SHARE-ENV data set, which fulfills these criteria. We expand on EU representative, individual-level, longitudinal data (the SHARE survey), with environmental exposure information about temperature, radiation, precipitation, pollution, and flood events. We illustrate through four simplified multilevel linear regressions, cross-sectional and longitudinal, how full-fledged studies can use SHARE-ENV to contribute to the literature. Such studies would help assess climate impacts and estimate the effectiveness and fairness of several climate adaptation policies. Other surveys can be expanded with environmental information to unlock different research avenues.
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