Report NEP-NET-2023-01-30
This is the archive for NEP-NET, a report on new working papers in the area of Network Economics. Alfonso Rosa GarcÃa issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-NET
The following items were announced in this report:
- Saeed Badri & Bernd Heidergott & Ines Lindner, 2022. "Na?ve Learning in Social Networks with Fake News: Bots as a Singularity," Tinbergen Institute Discussion Papers 22-097/II, Tinbergen Institute.
- Matthew O. Jackson & Stephen M. Nei & Erik Snowberg & Leeat Yariv, 2022. "The Dynamics of Networks and Homophily," NBER Working Papers 30815, National Bureau of Economic Research, Inc.
- Yann Bramoullé & Renaud Bourlès & Eduardo Perez-Richet, 2021. "Altruism and Risk Sharing in Networks," SciencePo Working papers Main hal-02563135, HAL.
- Michel Grabisch & Agnieszka Rusinowska & Xavier Venel, 2022. "Diffusion in large networks," Post-Print halshs-03881455, HAL.
- Michel Grabisch & Antoine Mandel & Agnieszka Rusinowska, 2023. "On the design of public debate in social networks," Post-Print halshs-03881461, HAL.
- Matilde Giaccherini & Joanna Kopinska & Gabriele Rovigatti, 2022. "Vax Populi: The Social Costs of Online Vaccine Skepticism," CESifo Working Paper Series 10184, CESifo.
- Marcos Ross Fernandes, 2023. "Confirmation Bias in Social Networks," Working Papers, Department of Economics 2023_02, University of São Paulo (FEA-USP).
- Stefano Carattini & Kenneth Gillingham & Xiangyu Meng & Erez Yoeli, 2022. "Peer-to-Peer Solar and Social Rewards: Evidence from a Field Experiment," CESifo Working Paper Series 10173, CESifo.
- Caroline Hillairet & Olivier Lopez & Louise d'Oultremont & Brieuc Spoorenberg, 2022. "Cyber contagion: impact of the network structure on the losses of an insurance portfolio," Post-Print hal-03388840, HAL.
- Pierre Cotterlaz, 2021. "Three essays on spatial frictions [Trois essais sur les frictions spatiales]," SciencePo Working papers Main tel-03436173, HAL.
- Matteo Burzoni & Alessandro Doldi & Enea Monzio Compagnoni, 2022. "Risk Sharing with Deep Neural Networks," Papers 2212.11752, arXiv.org, revised Jun 2023.