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Report NEP-BIG-2020-12-07
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:
- David Kohns & Arnab Bhattacharjee, 2019, "Interpreting Big Data in the Macro Economy: A Bayesian Mixed Frequency Estimator," CEERP Working Paper Series, Centre for Energy Economics Research and Policy, Heriot-Watt University, number 010, Oct.
- Michael T. Kiley, 2020, "Financial Conditions and Economic Activity: Insights from Machine Learning," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2020-095, Nov, DOI: 10.17016/FEDS.2020.095.
- Takayuki Sakuma, 2020, "Application of deep quantum neural networks to finance," Papers, arXiv.org, number 2011.07319, Nov, revised May 2022.
- Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2020, "Nowcasting business cycle turning points with stock networks and machine learning," Working Paper Series, European Central Bank, number 2494, Nov.
- Alexey Averkin & Sergey Yarushev, 2020, "Deep Neural Networks and Neuro-Fuzzy Networks for Intellectual Analysis of Economic Systems," Papers, arXiv.org, number 2011.05588, Nov.
- Melvyn Weeks & Tobias Gabel Christiansen, 2020, "Understanding the Distributional Aspects of Microcredit Expansions," Papers, arXiv.org, number 2011.10509, Nov.
- Ljunge, Martin & Stenkula, Mikael, 2020, "Fertile Soil for Intrapreneurship: Impartial Institutions and Human Capital," Working Paper Series, Research Institute of Industrial Economics, number 1368, Nov.
- Jiang, Zehui & Liu, Chao & Ganapathysubramanian, Baskar & Hayes, Dermot J. & Sarkar, Soumik, 2020, "Predicting county-scale maize yields with publicly available data," ISU General Staff Papers, Iowa State University, Department of Economics, number 202009110700001775, Sep.
- Jafari Kang, Masood & Zohoori, Sepideh & Abbasi, Elahe & Li, Yueqing & Hamidi, Maryam, 2019, "Predicting the price of second-hand vehicles using data mining techniques," MPRA Paper, University Library of Munich, Germany, number 103933, Nov.
- Item repec:ajt:wcinch:73382 is not listed on IDEAS anymore
- Ge, S., 2020, "Text-Based Linkages and Local Risk Spillovers in the Equity Market," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 20115, Nov.
- Oren Barkan & Jonathan Benchimol & Itamar Caspi & Eliya Cohen & Allon Hammer & Noam Koenigstein, 2020, "Forecasting CPI Inflation Components with Hierarchical Recurrent Neural Networks," Papers, arXiv.org, number 2011.07920, Nov, revised Feb 2022.
- Viera Magalhães, João & Couldry, Nick, 2021, "Giving by taking away: big tech, data colonialism and the reconfiguration of social good," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 107516.
- Urman, Aleksandra & Ho, Justin Chun-ting & Katz, Stefan, 2020, "“No Central Stage”: Telegram-based activity during the 2019 protests in Hong Kong," SocArXiv, Center for Open Science, number ueds4, Nov, DOI: 10.31219/osf.io/ueds4.