Report NEP-BIG-2022-01-03

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:

• Oecd, 2021. "Mapping data portability initiatives, opportunities and challenges," OECD Digital Economy Papers 321, OECD Publishing.
• Siyuan Liu & Mehmet Orcun Yalcin & Hsuan Fu & Xiuyi Fan, 2021. "An Investigation of the Impact of COVID-19 Non-Pharmaceutical Interventions and Economic Support Policies on Foreign Exchange Markets with Explainable AI Techniques," Papers 2111.14620, arXiv.org.
• Christophe HURLIN & Christophe PERIGNON & Sébastien SAURIN, 2021. "The Fairness of Credit Scoring Models," LEO Working Papers / DR LEO 2912, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
• Maximilien Germain & Huyên Pham & Xavier Warin, 2021. "Neural networks-based algorithms for stochastic control and PDEs in finance ," Post-Print hal-03115503, HAL.
• Yizhuo Li & Peng Zhou & Fangyi Li & Xiao Yang, 2021. "An Improved Reinforcement Learning Model Based on Sentiment Analysis," Papers 2111.15354, arXiv.org.
• Sunhe, Flor, 2021. "A Bayesian Spatio-temporal model for predicting passengers' occupancy at Beijing Metro," DES - Working Papers. Statistics and Econometrics. WS 33787, Universidad Carlos III de Madrid. Departamento de Estadística.
• Blanka Horvath & Josef Teichmann & Zan Zuric, 2021. "Deep Hedging under Rough Volatility," Swiss Finance Institute Research Paper Series 21-88, Swiss Finance Institute.
• Brunori, Paolo & Davillas, Apostolos & Jones, Andrew M. & Scarchilli, Giovanna, 2021. "Model-Based Recursive Partitioning to Estimate Unfair Health Inequalities in the United Kingdom Household Longitudinal Study," IZA Discussion Papers 14925, Institute of Labor Economics (IZA).
• Thieltges, Andree, 2020. "Machine Learning Anwendungen in der betrieblichen Praxis: Praktische Empfehlungen zur betrieblichen Mitbestimmung," Mitbestimmungspraxis 33, Hans Böckler Foundation, Institute for Codetermination and Corporate Governance (I.M.U.).
• David Gierten & Steffen Viete & Raphaela Andres & Thomas Niebel, 2021. "Firms going digital: Tapping into the potential of data for innovation," OECD Digital Economy Papers 320, OECD Publishing.
• Tomoaki Mikami & Hiroaki Yamagata & Jouchi Nakajima, 2021. "Using Text Analysis to Gauge the Reasons for Respondents' Assessment in the Economy Watchers Survey," Bank of Japan Research Laboratory Series 21-E-2, Bank of Japan.
• Michael Mayer & Steven C. Bourassa & Martin Hoesli & Donato Scognamiglio, 2021. "Structured Additive Regression and Tree Boosting," Swiss Finance Institute Research Paper Series 21-83, Swiss Finance Institute.
• Knapp, S. & van de Velden, M., 2021. "Exploration of machine learning algorithms for maritime risk applications," Econometric Institute Research Papers 2021-03, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
• Catherine Robinson & Christian Siegel & Sisi Liao, 2021. "Technology Adoption and Skills A Pilot Study of Kent SMEs," Studies in Economics 2114, School of Economics, University of Kent.
• Erik Heilmann, 2021. "The impact of transparency policies on local flexibility markets in electrical distribution networks: A case study with artificial neural network forecasts," MAGKS Papers on Economics 202141, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).