Report NEP-BIG-2021-03-01

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:

• Cristina Angelico & Juri Marcucci & Marcello Miccoli & Filippo Quarta, 2021. "Can we measure inflation expectations using Twitter?," Temi di discussione (Economic working papers) 1318, Bank of Italy, Economic Research and International Relations Area.
• Strittmatter, Anthony & Wunsch, Conny, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," Working papers 2021/05, Faculty of Business and Economics - University of Basel.
• McBride, Linden & Barrett, Christopher B. & Browne, Christopher & Hu, Leiqiu & Liu, Yanyan & Matteson, David S. & Sun, Ying & Wen, Jiaming, 2021. "Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning," 2021 Allied Social Sciences Association (ASSA) Annual Meeting (Virtual), January 3-5, 2021, San Diego, California 309060, Agricultural and Applied Economics Association.
• Jean-Franc{c}ois Chassagneux & Junchao Chen & Noufel Frikha & Chao Zhou, 2021. "A learning scheme by sparse grids and Picard approximations for semilinear parabolic PDEs," Papers 2102.12051, arXiv.org.
• Luisa Roa & Andr'es Rodr'iguez-Rey & Alejandro Correa-Bahnsen & Carlos Valencia, 2021. "Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data," Papers 2102.09974, arXiv.org.
• Carlos Arana, 2021. "Modelos de Aprendizaje Automático Mediante Árboles de Decisión," CEMA Working Papers: Serie Documentos de Trabajo. 778, Universidad del CEMA.
• Steven J. Davis & Stephen Hansen & Cristhian Seminario-Amez, 2020. "Firm-Level Risk Exposures and Stock Returns in the Wake of COVID-19," Working Papers 2020-139, Becker Friedman Institute for Research In Economics.
• Karaman Örsal, Deniz Dilan & Sturm, Silke, 2021. "Computing Consumer Sentiment in Germany via Social Media Data," Hamburg Discussion Papers in International Economics 7, University of Hamburg, Department of Economics.
• Jeffrey Grogger & Sean Gupta & Ria Ivandic & Tom Kirchmaier, 2021. "Comparing Conventional and Machine-Learning Approaches to Risk Assessment in Domestic Abuse Cases," Working Papers 2021-01, Becker Friedman Institute for Research In Economics.
• Zhiguo He & Jing Huang & Jidong Zhou, 2020. "Open Banking: Credit Market Competition When Borrowers Own the Data," Working Papers 2020-168, Becker Friedman Institute for Research In Economics.
• Zhen Zeng & Tucker Balch & Manuela Veloso, 2021. "Deep Video Prediction for Time Series Forecasting," Papers 2102.12061, arXiv.org, revised Nov 2021.
• Nikolas Schöll & Aina Gallego & Gaël Le Mens, 2021. "Politician-Citizen Interactions and Dynamic Representation: Evidence from Twitter," Working Papers 1238, Barcelona School of Economics.
• Aina Gallego & Nikolas Schöll & Gaël Le Mens, 2021. "Politician-citizen interactions and dynamic representation: Evidence from Twitter," Economics Working Papers 1769, Department of Economics and Business, Universitat Pompeu Fabra.
• Bandiera, Oriana & Prat, Andrea & Hansen, Stephen & Sadun, Raffaella, 2020. "CEO behavior and firm performance," LSE Research Online Documents on Economics 101423, London School of Economics and Political Science, LSE Library.
• Müller, Henrik & Hornig, Nico & Rieger, Jonas, 2021. ""For the times they are a-changin": Gauging Uncertainty Perception over Time," DoCMA Working Papers 3, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA).
• Ferman, Bruno & Lima, Lycia & Riva, Flávio, 2021. "Artificial Intelligence, Teacher Tasks and Individualized Pedagogy," SocArXiv qw249, Center for Open Science.
• Graef, Inge & Prüfer, Jens, 2021. "Governance of Data Sharing : A Law & Economics Proposal," Discussion Paper 2021-001, Tilburg University, Tilburg Law and Economic Center.
• Bernard Fallery, 2020. "Données de santé : l'arbre StopCovid qui cache la forêt Health Data Hub," Post-Print hal-03125892, HAL.