Report NEP-BIG-2021-02-22

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:

• Barbara Felderer & Jannis Kueck & Martin Spindler, 2021. "Big Data meets Causal Survey Research: Understanding Nonresponse in the Recruitment of a Mixed-mode Online Panel," Papers 2102.08994, arXiv.org.
• Marco Ortu & Nicola Uras & Claudio Conversano & Giuseppe Destefanis & Silvia Bartolucci, 2021. "On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning," Papers 2102.08189, arXiv.org, revised Feb 2021.
• Oscar Claveria & Enric Monte & Salvador Torra, 2021. ""Nowcasting and forecasting GDP growth with machine-learning sentiment indicators"," IREA Working Papers 202103, University of Barcelona, Research Institute of Applied Economics, revised Feb 2021.
• Fan Cheng & Rob J Hyndman & Anastasios Panagiotelis, 2021. "Manifold Learning with Approximate Nearest Neighbors," Monash Econometrics and Business Statistics Working Papers 3/21, Monash University, Department of Econometrics and Business Statistics.
• Nicolas Berland & Christian Moinard, 2020. "Intelligence artificielle et contrôle de gestion : un rapport aux chiffres revisité et des enjeux organisationnels," Post-Print hal-03114008, HAL.
• Bauer, Kevin & Hinz, Oliver & Weber, Patrick, 2021. "KI in der Finanzbranche: Im Spannungsfeld zwischen technologischer Innovation und regulatorischer Anforderung," SAFE White Paper Series 80, Leibniz Institute for Financial Research SAFE.
• Henri Isaac, 2020. "Stratégie & Intelligence artificielle," Post-Print hal-03068380, HAL.
• Anthony Strittmatter & Conny Wunsch, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," Papers 2102.09207, arXiv.org, revised Feb 2021.
• Margarita Leib & Nils C. Kobis & Rainer Michael Rilke & Marloes Hagens & Bernd Irlenbusch, 2021. "The corruptive force of AI-generated advice," Papers 2102.07536, arXiv.org.
• Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2021. "Uncertainty and Forecastability of Regional Output Growth in the United Kingdom: Evidence from Machine Learning," Working Papers 202111, University of Pretoria, Department of Economics.
• Julia M. Puaschunder & Dirk Beerbaum, 2020. "The Future of Healthcare around the World: Four indices integrating Technology, Productivity, Anti-Corruption, Healthcare and Market Financialization," Proceedings of the 18th International RAIS Conference, August 17-18, 2020 021jpmd, Research Association for Interdisciplinary Studies.
• Andry Alamsyah & Nurlisa Laksmiani & Lies Anisa Rahimi, 2021. "A Core of E-Commerce Customer Experience based on Conversational Data using Network Text Methodology," Papers 2102.09107, arXiv.org.
• Bingyan Han, 2021. "Understanding algorithmic collusion with experience replay," Papers 2102.09139, arXiv.org, revised Mar 2021.
• Luis Willumsen, 2021. "Use of Big Data in Transport Modelling," International Transport Forum Discussion Papers 2021/05, OECD Publishing.
• Alessandro Bitetto & Paola Cerchiello & Charilaos Mertzanis, 2021. "A data-driven approach to measuring epidemiological susceptibility risk around the world," DEM Working Papers Series 200, University of Pavia, Department of Economics and Management.
• Lenka Nechvatalova, 2021. "Multi-Horizon Equity Returns Predictability via Machine Learning," Working Papers IES 2021/02, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2021.
• Zihao Zhang & Bryan Lim & Stefan Zohren, 2021. "Deep Learning for Market by Order Data," Papers 2102.08811, arXiv.org, revised Jul 2021.
• Heyman, Fredrik & Norbäck, Pehr-Johan & Persson, Lars, 2021. "Automation, Work and Productivity: The Role of Firm Heterogeneity," Working Paper Series 1382, Research Institute of Industrial Economics, revised 09 Mar 2023.
• Can Askan Mavi & Nicolas Querou, 2021. "Common pool resource management and risk perceptions," Working Papers 2021.02, FAERE - French Association of Environmental and Resource Economists.