Report NEP-BIG-2020-10-05

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Adams-Prassl, Abi & Balgova, Maria & Qian, Matthias, 2020. "Flexible Work Arrangements in Low Wage Jobs: Evidence from Job Vacancy Data," IZA Discussion Papers 13691, Institute of Labor Economics (IZA).
• Hodler, Roland & Lechner, Michael & Raschky, Paul A., 2020. "Reassessing the Resource Curse using Causal Machine Learning," Economics Working Paper Series 2016, University of St. Gallen, School of Economics and Political Science.
• Klaus Ackermann & Alexey Chernikov & Nandini Anantharama & Miethy Zaman & Paul A Raschky, 2020. "Object Recognition for Economic Development from Daytime Satellite Imagery," Papers 2009.05455, arXiv.org.
• Fraunholz, Christoph & Kraft, Emil & Keles, Dogan & Fichtner, Wolf, 2020. "The merge of two worlds: Integrating artificial neural networks into agent-based electricity market simulation," Working Paper Series in Production and Energy 45, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
• Jason Wittenbach & Brian d'Alessandro & C. Bayan Bruss, 2020. "Machine Learning for Temporal Data in Finance: Challenges and Opportunities," Papers 2009.05636, arXiv.org.
• Marc-Aurèle Divernois, 2020. "A Deep Learning Approach to Estimate Forward Default Intensities," Swiss Finance Institute Research Paper Series 20-79, Swiss Finance Institute.
• Hao, Peng & Wei, Zhensong & Bai, Zhengwei & Barth, Matthew, 2020. "An Adaptive Strategy for Connected Eco-Driving under Uncertain Traffic and Signal Conditions," Institute of Transportation Studies, Working Paper Series qt0bd7g3cz, Institute of Transportation Studies, UC Davis.
• Bernadett Aradi & G'abor Petneh'azi & J'ozsef G'all, 2020. "Volatility Forecasting with 1-dimensional CNNs via transfer learning," Papers 2009.05508, arXiv.org.
• Falco J. Bargagli-Stoffi & Jan Niederreiter & Massimo Riccaboni, 2020. "Supervised learning for the prediction of firm dynamics," Papers 2009.06413, arXiv.org.
• Sudiksha Joshi, 2020. "Forecasting the Leading Indicator of a Recession: The 10-Year minus 3-Month Treasury Yield Spread," Papers 2009.05507, arXiv.org.
• Johnson, Justin Pappas & Rhodes, Andrew & Wildenbeest, Matthijs, 2020. "Platform Design when Sellers Use Pricing Algorithms," TSE Working Papers 20-1146, Toulouse School of Economics (TSE).
• Xinwen Ni & Wolfgang Karl Hardle & Taojun Xie, 2020. "A Machine Learning Based Regulatory Risk Index for Cryptocurrencies," Papers 2009.12121, arXiv.org, revised Aug 2021.
• Sylvie St-Onge & Michel Magnan & Catherine Vincent, 2020. "Les incidences de l’intelligence artificielle sur la gestion des compétences dans le secteur des services financiers," CIRANO Working Papers 2020s-49, CIRANO.
• Jules H. van Binsbergen & Xiao Han & Alejandro Lopez-Lira, 2020. "Man vs. Machine Learning: The Term Structure of Earnings Expectations and Conditional Biases," NBER Working Papers 27843, National Bureau of Economic Research, Inc.
• Naudé, Wim & Liebregts, Werner, 2020. "Digital Entrepreneurship Research: A Concise Introduction," IZA Discussion Papers 13667, Institute of Labor Economics (IZA).
• Stigler, Matthieu M. & Lobell, David, 2020. "Suitability of index insurance: new insights from satellite data," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304663, Agricultural and Applied Economics Association.
• Mario S. Moreno, 2020. "Inteligencia Artificial y los Artistas," CEMA Working Papers: Serie Documentos de Trabajo. 752, Universidad del CEMA.
• Humberto Barreto & Sang T. Truong, 2020. "Visualizing Income Distribution in the United States," Working Papers 2020-03, DePauw University, School of Business and Leadership and Department of Economics and Management.
• Nick Obradovich & Ömer Özak & Ignacio Martín & Ignacio Ortuño-Ortín & Edmond Awad & Manuel Cebrián & Rubén Cuevas & Klaus Desmet & Iyad Rahwan & Ángel Cuevas, 2020. "Expanding the Measurement of Culture with a Sample of Two Billion Humans," NBER Working Papers 27827, National Bureau of Economic Research, Inc.