Report NEP-BIG-2019-12-02

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:

• Veale, Michael & Brass, Irina, 2019. "Administration by Algorithm? Public Management meets Public Sector Machine Learning," SocArXiv mwhnb, Center for Open Science.
• Pranata, Nika & Farandy, Alan Ray, 2019. "Big Data-Based Peer-to-Peer Lending Fintech: Surveillance System through Utilization of Google Play Review," ADBI Working Papers 943, Asian Development Bank Institute.
• Bazzi, Samuel & Blair, Robert & Blattman, Chris & Dube, Oeindrila & Gudgeon, Matthew & Peck, Richard, 2019. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," SocArXiv bkrn8, Center for Open Science.
• Paul Hubert & Fabien Labondance, 2019. "Central bank tone and the dispersion of views within monetary policy committees," Working Papers 2019-08, CRESE.
• Ivan Cherednik, 2019. "Artificial intelligence approach to momentum risk-taking," Papers 1911.08448, arXiv.org, revised Mar 2020.
• Koski, Heli & Pantzar, Mika, 2019. "Data Markets in Making: The Role of Technology Giants," ETLA Working Papers 72, The Research Institute of the Finnish Economy.
• Vasilios Plakandaras & Elie Bouri & Rangan Gupta, 2019. "Forecasting Bitcoin Returns: Is there a Role for the U.S. – China Trade War?," Working Papers 201980, University of Pretoria, Department of Economics.
• Guerino Ardizzi & Simone Emiliozzi & Juri Marcucci & Libero Monteforte, 2019. "News and consumer card payments," Temi di discussione (Economic working papers) 1233, Bank of Italy, Economic Research and International Relations Area.
• Sariev, Eduard & Germano, Guido, 2020. "Bayesian regularized artificial neural networks for the estimation of the probability of default," LSE Research Online Documents on Economics 101029, London School of Economics and Political Science, LSE Library.
• Jonathan Sadighian, 2019. "Deep Reinforcement Learning in Cryptocurrency Market Making," Papers 1911.08647, arXiv.org.
• Stephany, Fabian, 2019. "How Unique is "E-stonia"? A Cross-Country Comparison of E-Services Usage in Europe," SocArXiv y4z73, Center for Open Science.
• Stephany, Fabian & Lorenz, Hanno, 2019. "Back to the Future - Changing Job Profiles in the Digital Age," SocArXiv 9jyag, Center for Open Science.
• Lin, Nung-yao & Chen, Shih-Pei & Wang, Sean H. & Yeh, Calvin, 2020. "Displaying spatial epistemologies on web GIS: using visual materials from the Chinese local gazetteers as an example," SocArXiv sfz9t, Center for Open Science.
• Ravi Kashyap, 2019. "Imitation in the Imitation Game," Papers 1911.06893, arXiv.org.
• Cynthia GIAGNOCAVO & Daniel HERNà NDEZ Cà CERES, 2019. "Creación de un nuevo bien común para las cooperativas agrícolas: Big data, TIC e intercambio de datos," CIRIEC Working Papers 1920, CIRIEC - Université de Liège.
• Chen, Joyce & Mueller, Valerie & Thiede, Brian, 2019. "Can Declines in Fertility During Floods Be Explained by Increased Demands on the Farm?," 2020 Allied Social Sciences Association (ASSA) Annual Meeting, January 3-5, 2020, San Diego, California 296667, Agricultural and Applied Economics Association.
• Stephany, Fabian & Braesemann, Fabian & Graham, Mark, 2019. "Coding Together - Coding Alone: The Role of Trust in Collaborative Programming," SocArXiv 8rf2h, Center for Open Science.
• Daoud, Adel & Johansson, Fredrik, 2019. "Estimating Treatment Heterogeneity of International Monetary Fund Programs on Child Poverty with Generalized Random Forest," SocArXiv awfjt, Center for Open Science.
• Karell, Daniel & Freedman, Michael Raphael, 2019. "Rhetorics of Radicalism," SocArXiv yfzsh, Center for Open Science.