Report NEP-NET-2023-05-15

This is the archive for NEP-NET, a report on new working papers in the area of Network Economics. Alfonso Rosa García issued this report. It is usually issued weekly.

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Other reports in NEP-NET

The following items were announced in this report:

• Palaash Bhargava & Daniel L. Chen & Matthias Sutter & Camille Terrier, 2023. "Homophily and Transmission of Behavioral Traits in Social Networks," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2023_02, Max Planck Institute for Research on Collective Goods.
• Saki Bigio, 2023. "A Theory of Payments-Chain Crises," Working Papers 191, Peruvian Economic Association.
• Donia Kamel & Laura Pollacci, 2023. "Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain," CESifo Working Paper Series 10377, CESifo.
• Michela Chessa & Arnaud Persenda & Dominique Torre, 2022. "Brexit and Canadadvent: An Application of Graphs and Hypergraphs to Recent International Trade Agreements," GREDEG Working Papers 2022-35, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
• Andrea Bacilieri & Pablo Austudillo-Estevez, 2023. "Reconstructing firm-level input-output networks from partial information," Papers 2304.00081, arXiv.org.
• Jaerim Choi & Jay Hyun & Ziho Park, 2023. "Bound by Ancestors: Immigration, Credit Frictions, and Global Supply Chain Formation," NBER Working Papers 31157, National Bureau of Economic Research, Inc.
• Nadia Accoto & Valerio Astuti & Costanza Catalano, 2023. "A probabilistic method for reconstructing the foreign direct investments network in search of ultimate host economies," Questioni di Economia e Finanza (Occasional Papers) 760, Bank of Italy, Economic Research and International Relations Area.
• Takafumi Kawakubo & Takafumi Suzuki, 2023. "Theory and Evidence of Firm-to-firm Transaction Network Dynamics," Working Papers e184, Tokyo Center for Economic Research.
• Krist'of N'emeth & D'aniel Hadh'azi, 2023. "GDP nowcasting with artificial neural networks: How much does long-term memory matter?," Papers 2304.05805, arXiv.org, revised Feb 2024.
• Malte Jahn, 2023. "Artificial neural networks and time series of counts: A class of nonlinear INGARCH models," Papers 2304.01025, arXiv.org.