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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 (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:
- 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, arXiv.org, number 2102.08994, Feb.
- 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, arXiv.org, number 2102.08189, Feb, revised Feb 2021.
- Oscar Claveria & Enric Monte & Salvador Torra, 2021, ""Nowcasting and forecasting GDP growth with machine-learning sentiment indicators"," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 202103, Feb, revised Feb 2021.
- Fan Cheng & Rob J Hyndman & Anastasios Panagiotelis, 2021, "Manifold Learning with Approximate Nearest Neighbors," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 3/21.
- Nicolas Berland & Christian Moinard, 2020, "Intelligence artificielle et contrôle de gestion : un rapport aux chiffres revisité et des enjeux organisationnels," Post-Print, HAL, number hal-03114008.
- Bauer, Kevin & Hinz, Oliver & Weber, Patrick, 2021, "KI in der Finanzbranche: Im Spannungsfeld zwischen technologischer Innovation und regulatorischer Anforderung," SAFE White Paper Series, Leibniz Institute for Financial Research SAFE, number 80.
- Henri Isaac, 2020, "Stratégie & Intelligence artificielle," Post-Print, HAL, number hal-03068380.
- Anthony Strittmatter & Conny Wunsch, 2021, "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," Papers, arXiv.org, number 2102.09207, Feb, revised Feb 2021.
- Margarita Leib & Nils C. Kobis & Rainer Michael Rilke & Marloes Hagens & Bernd Irlenbusch, 2021, "The corruptive force of AI-generated advice," Papers, arXiv.org, number 2102.07536, Feb.
- 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, University of Pretoria, Department of Economics, number 202111, Feb.
- 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, Research Association for Interdisciplinary Studies, number 021jpmd, Aug.
- Andry Alamsyah & Nurlisa Laksmiani & Lies Anisa Rahimi, 2021, "A Core of E-Commerce Customer Experience based on Conversational Data using Network Text Methodology," Papers, arXiv.org, number 2102.09107, Feb.
- Bingyan Han, 2021, "Algorithmic pricing with independent learners and relative experience replay," Papers, arXiv.org, number 2102.09139, Feb, revised Oct 2025.
- Luis Willumsen, 2021, "Use of Big Data in Transport Modelling," International Transport Forum Discussion Papers, OECD Publishing, number 2021/05, Jan, DOI: 10.1787/86a128c7-en.
- Alessandro Bitetto & Paola Cerchiello & Charilaos Mertzanis, 2021, "A data-driven approach to measuring epidemiological susceptibility risk around the world," DEM Working Papers Series, University of Pavia, Department of Economics and Management, number 200, Feb.
- Lenka Nechvatalova, 2021, "Multi-Horizon Equity Returns Predictability via Machine Learning," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2021/02, Feb, revised Feb 2021.
- Zihao Zhang & Bryan Lim & Stefan Zohren, 2021, "Deep Learning for Market by Order Data," Papers, arXiv.org, number 2102.08811, Feb, revised Jul 2021.
- Heyman, Fredrik & Norbäck, Pehr-Johan & Persson, Lars, 2021, "Automation, Work and Productivity: The Role of Firm Heterogeneity," Working Paper Series, Research Institute of Industrial Economics, number 1382, Feb, revised 09 Mar 2023.
- Can Askan Mavi & Nicolas Querou, 2021, "Common pool resource management and risk perceptions," Working Papers, FAERE - French Association of Environmental and Resource Economists, number 2021.02, Feb.