Report NEP-BIG-2021-03-08

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:

• Tom Coupé, 2021. "Who is the Most Sought-After Economist? Ranking Economists Using Google Trends," Working Papers in Economics 21/02, University of Canterbury, Department of Economics and Finance.
• J. Ignacio Conde-Ruiz & Juan-José Ganuza & Manu García & Luis A. Puch, 2021. "Gender Distribution across Topics in Top 5 Economics Journals: A Machine Learning Approach," Working Papers 1241, Barcelona School of Economics.
• Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2021. "Can Machine Learning Catch the COVID-19 Recession?," CIRANO Working Papers 2021s-09, CIRANO.
• Strittmatter, Anthony & Wunsch, Conny, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," IZA Discussion Papers 14128, Institute of Labor Economics (IZA).
• Alexandre Bonnet R. Costa & Pedro Cavalcanti G. Ferreira & Wagner P. Gaglianone & Osmani Teixeira C. Guillén & João Victor Issler & Yihao Lin, 2021. "Machine Learning and Oil Price Point and Density Forecasting," Working Papers Series 544, Central Bank of Brazil, Research Department.
• Michael Danquah & Abdul Malik Iddrisu & Ernest Owusu Boakye & Solomon Owusu, 2021. "Do gender wage differences within households influence women's empowerment and welfare?: Evidence from Ghana," WIDER Working Paper Series wp-2021-40, World Institute for Development Economic Research (UNU-WIDER).
• Gründler, Klaus & Krieger, Tommy, 2021. "Using machine learning for measuring democracy: An update," ZEW Discussion Papers 21-012, ZEW - Leibniz Centre for European Economic Research.
• Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2021. "Investor Confidence and Forecastability of US Stock Market Realized Volatility : Evidence from Machine Learning," Working Papers 202118, University of Pretoria, Department of Economics.
• Alessandro Bitetto & Paola Cerchiello & Stefano Filomeni & Alessandra Tanda & Barbara Tarantino, 2021. "Machine Learning and Credit Risk: Empirical Evidence from SMEs," DEM Working Papers Series 201, University of Pavia, Department of Economics and Management.
• Cécile Godé & Amandine Pascal, 2021. "Big (Et) Data Dans Toute Sa Complexite," Post-Print hal-03134526, HAL.
• Jacob, Daniel, 2020. "Cross-Fitting and Averaging for Machine Learning Estimation of Heterogeneous Treatment Effects," IRTG 1792 Discussion Papers 2020-014, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Maria Dimakopoulou & Zhimei Ren & Zhengyuan Zhou, 2021. "Online Multi-Armed Bandits with Adaptive Inference," Papers 2102.13202, arXiv.org, revised Jun 2021.
• Marcelle Chauvet & Rafael R. S. Guimaraes, 2021. "Transfer Learning for Business Cycle Identification," Working Papers Series 545, Central Bank of Brazil, Research Department.
• Abhiroop Mukherjee & George Panayotov & Janghoon Shon, 2019. "Eye in the sky: private satellites and government macro data," HKUST IEMS Working Paper Series 2019-68, HKUST Institute for Emerging Market Studies, revised Oct 2019.
• Craja, Patricia & Kim, Alisa & Lessmann, Stefan, 2020. "Deep Learning application for fraud detection in financial statements," IRTG 1792 Discussion Papers 2020-007, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Alexis Marchal, 2021. "Risk & Returns around Fomc Press Conferences: A Novel Perspective from Computer Vision," Swiss Finance Institute Research Paper Series 21-18, Swiss Finance Institute.
• Andrea Fronzetti Colladon & Stefano Grassi & Francesco Ravazzolo & Francesco Violante, 2021. "Forecasting financial markets with semantic network analysis in the COVID—19 crisis," Working Papers 2021-06, Center for Research in Economics and Statistics.
• Graef, Inge & Prüfer, Jens, 2021. "Governance of Data Sharing : a Law & Economics Proposal," Discussion Paper 2021-004, Tilburg University, Center for Economic Research.
• Massimo Ferrari & Frederik Kurcz & Maria Sole Pagliari, 2021. "Do Words Hurt More Than Actions? The Impact of Trade Tensions on Financial Markets," Working papers 802, Banque de France.