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Report NEP-NET-2024-04-29
This is the archive for NEP-NET, a report on new working papers in the area of Network Economics. Alfonso Rosa-García (Alfonso Rosa-Garcia) 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:
- Choi, S. & Goyal, S. & Guo, F. & Moisan, F., 2024, "Experimental Evidence on Group Size Effects in Network Formation Games," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2417, Mar.
- Luis E. Candelaria & Yichong Zhang, 2024, "Robust Inference in Locally Misspecified Bipartite Networks," Papers, arXiv.org, number 2403.13725, Mar.
- Emre Oral & Simon Rabaté & Arthur Seibold, 2024, "The Social Multiplier of Pension Reform," CESifo Working Paper Series, CESifo, number 10999.
- Bramoulle, Y. & Goyal, S. & Morelli, M., 2024, "Social Structure, State Capacity, and Economic Activity," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2416, Mar.
- Muzi Chen & Nan Li & Lifen Zheng & Difang Huang & Boyao Wu, 2024, "Dynamic Correlation of Market Connectivity, Risk Spillover and Abnormal Volatility in Stock Price," Papers, arXiv.org, number 2403.19363, Mar.
- Elliott, M. & Galeotti, A. & Koh, A. & Li, W., 2023, "Matching and Information Design in Marketplaces," Janeway Institute Working Papers, Faculty of Economics, University of Cambridge, number 2304, Feb.
- Taejin Park, 2024, "Enhancing Anomaly Detection in Financial Markets with an LLM-based Multi-Agent Framework," Papers, arXiv.org, number 2403.19735, Mar.
- Supriya Tiwari & Pallavi Basu, 2024, "Quasi-randomization tests for network interference," Papers, arXiv.org, number 2403.16673, Mar, revised Sep 2025.
- Enzo Brox & Michael Lechner, 2024, "Teamwork and Spillover Effects in Performance Evaluations," Papers, arXiv.org, number 2403.15200, Mar.
- Alexander Berry & Elizabeth M. Maloney & David Neumark, 2024, "The Missing Link? Using LinkedIn Data to Measure Race, Ethnic, and Gender Differences in Employment Outcomes at Individual Companies," NBER Working Papers, National Bureau of Economic Research, Inc, number 32294, Mar.