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2023 / Francesco Pietro Colelli, Ian Sue Wing, Enrica De Cian

Air-conditioning adoption and electricity demand highlight climate change mitigation–adaptation tradeoffs

Scientific Reports, Article number: 4413 (2023)
EPOC Working Paper No. 19 / Work Package 01
2024 / Matthieu Bulté, Helle Sørensen

An Autoregressive Model for Time Series of Random Objects

2024 / Michel Grabisch, M. Alperen Yasar

Frequentist belief update under ambiguous evidence in social networks

International Journal of Approximate Reasoning, Vol. 172 (109240)
2023 / Francesco Pietro Colelli, Ian Sue Wing, Enrica De Cian

Intensive and extensive margins of the peak load: Measuring adaptation with mixed frequency panel data

Energy Economics, Vol. 126
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
EPOC Working Paper No. 18 / Work Package 03
2024 / Nurten Kaynarca, Antoine Mandel

Technological evolution of production networks

2023 / Michel Grabisch, Antoine Mandel, Agnieszka Rusinowska

On the Design of Public Debate in Social Networks

Operations Research, Vol. 71 (2), 626-648
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
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.
EPOC Working Paper No. 17 / Work Package 01
2024 / Susanne Ditlevsen, Predrag Pilipovic, Adeline Samson

Strang Splitting for Parametric Inference in Second-order Stochastic Differential Equations

2022 / Rosario Maggistro, Paolo Pellizzari, Elena Sartori, Marco Tolotti

Dangerous tangents: an application of Γ-convergence to the control of dynamical systems

Decisions in Economics and Finance, Vol. 45, 451-480
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