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Marijn Keijzer, Jan Lorenz, and Michał Bojanowski
Springer Cham, February 2026
The emergence of Computational Social Science (CSS) marks a transformative shift in the study of social phenomena, triggered by advancements in computational technology and large-scale collection of (digital) behavioral trace data. CSS promises to provide an accurate and deep understanding of...
This is an open access book. What holds societies together—and what drives them apart? As worry over political polarization and social cohesion intensifies across the globe, this volume explores timely and vital questions of social cohesion and polarization through the lens of Computational Social...
Carl T. Bergstrom, and Kevin Gross
vol. 24, n. 2 (e3003650), February 2026
Scholarly journals rely on peer review to identify the science most worthy of publication. Yet finding willing and qualified reviewers to evaluate manuscripts has become an increasingly challenging task, possibly even threatening the long-term viability of peer review as an institution. What can or...
Sandra Brée, Victor Gay, Marion Leturcq, Yoann Doignon, and Baptiste Coumon
vol. 16, February 2026, pp. 3–28, 26 pages
Alexander Hijzen, Mateo Montenegro, and Ana Sofia Pessoa
vol. 98, n. 102826, February 2026
This paper provides an assessment of the 2019 minimum-wage hike in Spain, which increased the minimum wage by 22 % and directly concerned 7 % of dependent employees. We make use of two complementary approaches, one that follows incumbent workers over time and hence does not take account of any...
Daniel Kim, and Sébastien Pouget
vol. 97, n. 102932, February 2026
We empirically study whether carbon emissions affect firms’ cost of capital raised on conventional bond markets. We find that firms with higher carbon emissions face higher spreads in the secondary market but not in the primary market. We show that this gap is related to uncertainty about climate...
Victor Chernozhukov, Johannes Hörner, Eliana La Ferrara, and Ivän Werning (eds.)
February 2026
Olivier Faugeras
vol. 55, n. 1, February 2026, pp. 1–31
Compositional Data (CoDa) is usually viewed as data on the simplex and is studied via a log-ratio analysis, following the classical work of Aitchison (1986). We propose to bring to the fore an alternative view of CoDa as a stick breaking process, an approach which originates from Bayesian...
Andrea Attar, Thomas Mariotti, and François Salanié
Victor Chernozhukov, Johannes Hörner, Eliana La Ferrara, and Ivän Werning (eds.), part 1, February 2026, pp. 3–46
Elliott Ash, Daniel L. Chen, and Suresh Naidu
vol. 141, n. 1, February 2026, revised June 10, 2026, p. 845–887
