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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 (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, IZA Network @ LISER, number 13691, Sep.
- Hodler, Roland & Lechner, Michael & Raschky, Paul A., 2020, "Reassessing the Resource Curse using Causal Machine Learning," Economics Working Paper Series, University of St. Gallen, School of Economics and Political Science, number 2016, Sep.
- Klaus Ackermann & Alexey Chernikov & Nandini Anantharama & Miethy Zaman & Paul A Raschky, 2020, "Object Recognition for Economic Development from Daytime Satellite Imagery," Papers, arXiv.org, number 2009.05455, Sep.
- 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, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP), number 45, DOI: 10.5445/IR/1000122364.
- Jason Wittenbach & Brian d'Alessandro & C. Bayan Bruss, 2020, "Machine Learning for Temporal Data in Finance: Challenges and Opportunities," Papers, arXiv.org, number 2009.05636, Sep.
- Marc-Aurèle Divernois, 2020, "A Deep Learning Approach to Estimate Forward Default Intensities," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 20-79, Jul.
- 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, Institute of Transportation Studies, UC Davis, number qt0bd7g3cz, Sep.
- Bernadett Aradi & G'abor Petneh'azi & J'ozsef G'all, 2020, "Volatility Forecasting with 1-dimensional CNNs via transfer learning," Papers, arXiv.org, number 2009.05508, Sep.
- Falco J. Bargagli-Stoffi & Jan Niederreiter & Massimo Riccaboni, 2020, "Supervised learning for the prediction of firm dynamics," Papers, arXiv.org, number 2009.06413, Sep.
- Sudiksha Joshi, 2020, "Forecasting the Leading Indicator of a Recession: The 10-Year minus 3-Month Treasury Yield Spread," Papers, arXiv.org, number 2009.05507, Sep.
- Johnson, Justin Pappas & Rhodes, Andrew & Wildenbeest, Matthijs, 2020, "Platform Design when Sellers Use Pricing Algorithms," TSE Working Papers, Toulouse School of Economics (TSE), number 20-1146, Sep.
- Xinwen Ni & Wolfgang Karl Hardle & Taojun Xie, 2020, "A Machine Learning Based Regulatory Risk Index for Cryptocurrencies," Papers, arXiv.org, number 2009.12121, Sep, 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, CIRANO, number 2020s-49, Sep.
- 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, National Bureau of Economic Research, Inc, number 27843, Sep.
- Naudé, Wim & Liebregts, Werner, 2020, "Digital Entrepreneurship Research: A Concise Introduction," IZA Discussion Papers, IZA Network @ LISER, number 13667, Sep.
- Stigler, Matthieu M. & Lobell, David, 2020, "Suitability of index insurance: new insights from satellite data," 2020 Annual Meeting, July 26-28, Kansas City, Missouri, Agricultural and Applied Economics Association, number 304663, Jul, DOI: 10.22004/ag.econ.304663.
- Mario S. Moreno, 2020, "Inteligencia Artificial y los Artistas," CEMA Working Papers: Serie Documentos de Trabajo., Universidad del CEMA, number 752, Sep.
- Humberto Barreto & Sang T. Truong, 2020, "Visualizing Income Distribution in the United States," Working Papers, DePauw University, School of Business and Leadership and Department of Economics and Management, number 2020-03, Sep.
- 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, National Bureau of Economic Research, Inc, number 27827, Sep.