Report NEP-BIG-2018-12-24

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:

• Giacomo Caterini, 2018. "Classifying Firms with Text Mining," DEM Working Papers 2018/09, Department of Economics and Management.
• Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals with Google Trends and Mixed Frequency Data," EconStor Preprints 187420, ZBW - Leibniz Information Centre for Economics.
• MOTOHASHI Kazuyuki, 2018. "Understanding AI Driven Innovation by Linked Database of Scientific Articles and Patents," Policy Discussion Papers 18017, Research Institute of Economy, Trade and Industry (RIETI).
• Gregory J. Cohen & Melanie Friedrichs & Kamran Gupta & William Hayes & Seung Jung Lee & W. Blake Marsh & Nathan Mislang & Maya Shaton & Martin Sicilian, 2018. "The U.S. Syndicated Loan Market : Matching Data," Finance and Economics Discussion Series 2018-085, Board of Governors of the Federal Reserve System (U.S.).
• Gregory J. Cohen & Melanie Friedrichs & Kamran Gupta & William Hayes & Seung Jung Lee & W. Blake Marsh & Nathan Mislang & Maya Shaton & Martin Sicilian, 2018. "The U.S. Syndicated Loan Market: Matching Data," Research Working Paper RWP 18-9, Federal Reserve Bank of Kansas City.
• Achref Bachouch & C^ome Hur'e & Nicolas Langren'e & Huyen Pham, 2018. "Deep neural networks algorithms for stochastic control problems on finite horizon: numerical applications," Papers 1812.05916, arXiv.org, revised Jan 2020.
• Rodríguez Arosemena, Nicolás, 2018. "The Dominium Mundi Game and the Case for Artificial Intelligence in Economics and the Law," MPRA Paper 90560, University Library of Munich, Germany.
• Henry Stone, 2018. "Calibrating rough volatility models: a convolutional neural network approach," Papers 1812.05315, arXiv.org, revised Jul 2019.
• Atik, Can, 2018. "How 'Big Data' affects competition law analysis in Online Platforms and Agriculture: does one size fit all?," 29th European Regional ITS Conference, Trento 2018 184928, International Telecommunications Society (ITS).
• Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Econometric Institute Research Papers EI2018-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
• José García-Montalvo & Omiros Papaspiliopoulos & Timothée Stumpf-Fétizon, 2018. "Bayesian Forecasting of Electoral Outcomes with new Parties' Competition," Working Papers 1065, Barcelona School of Economics.
• Carlo Fezzi & Luca Mosetti, 2018. "Size matters: Estimation sample length and electricity price forecasting accuracy," DEM Working Papers 2018/10, Department of Economics and Management.
• José Garcia Montalvo & Omiros Papaspiliopoulos & Timothée Stumpf-Fétizon, 2018. "Bayesian forecasting of electoral outcomes with new parties' competition," Economics Working Papers 1624, Department of Economics and Business, Universitat Pompeu Fabra.
• KIMOTO Hiroshi & SAWATANI Yuriko & SAITO Naho & IWAMOTO Koichi & TANOUE Yuta & INOUE Yusuka, 2018. "The Development of Digital Technology for IT, IoT, Big Data, and AI in Japan's Fourth Industrial Revolution (Japanese)," Policy Discussion Papers (Japanese) 18019, Research Institute of Economy, Trade and Industry (RIETI).
• Yusuke Narita & Shota Yasui & Kohei Yata, 2018. "Efficient Counterfactual Learning from Bandit Feedback," Cowles Foundation Discussion Papers 2155, Cowles Foundation for Research in Economics, Yale University.