Report NEP-BIG-2022-11-28

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:

• Lockhart, Jeffrey W, 2022. "Gender, Sex, and the Constraints of Machine Learning Methods," SocArXiv zj468, Center for Open Science.
• Gallego, J & Prem, M & Vargas, J. F., 2022. "Predicting Politicians Misconduct: Evidence From Colombia," Documentos de Trabajo 20504, Universidad del Rosario.
• Gallego, Jorge & Prem, Mounu & Vargas, Juan F., 2022. "Predicting Politicians' Misconduct: Evidence from Colombia," SocArXiv 5dp8t, Center for Open Science.
• Andrew Caplin & Daniel J. Martin & Philip Marx, 2022. "Modeling Machine Learning: A Cognitive Economic Approach," NBER Working Papers 30600, National Bureau of Economic Research, Inc.
• Florenta Teodoridis & Jino Lu & Jeffrey L. Furman, 2022. "Mapping the Knowledge Space: Exploiting Unassisted Machine Learning Tools," NBER Working Papers 30603, National Bureau of Economic Research, Inc.
• Beckmeyer, Heiner & Wiedemann, Timo, 2022. "Recovering Missing Firm Characteristics with Attention-Based Machine Learning," VfS Annual Conference 2022 (Basel): Big Data in Economics 264135, Verein für Socialpolitik / German Economic Association.
• David Dranove & Craig Garthwaite, 2022. "Artificial Intelligence, the Evolution of the Healthcare Value Chain, and the Future of the Physician," NBER Working Papers 30607, National Bureau of Economic Research, Inc.
• Oecd, 2022. "Measuring the environmental impacts of artificial intelligence compute and applications: The AI footprint," OECD Digital Economy Papers 341, OECD Publishing.
• Rocque, Sarvesh Raj, 2022. "A Multivariate Analysis of Technology and Education in the 21st Century: Antecedents and Determinants," MPRA Paper 115239, University Library of Munich, Germany.
• Daisuke Fujii & Taisuke Nakata & Takeshi Ojima, 2022. "Heterogeneous Risk Attitudes and Waves of Infection," CARF F-Series CARF-F-546, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
• Kevin Kamm & Michelle Muniz, 2022. "Rating Triggers for Collateral-Inclusive XVA via Machine Learning and SDEs on Lie Groups," Papers 2211.00326, arXiv.org.
• Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022. "Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data," Papers 2211.00363, arXiv.org, revised Jan 2024.
• Michele Battisti & Ilpo Kauppinen & Britta Rude, 2022. "Twitter and Crime: The Effect of Social Movements on GenderBased Violence," ifo Working Paper Series 381, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
• Lukas Gonon, 2022. "Deep neural network expressivity for optimal stopping problems," Papers 2210.10443, arXiv.org.
• Bradrania, Reza & Pirayesh Neghab, Davood, 2021. "State-dependent asset allocation using neural networks," MPRA Paper 115254, University Library of Munich, Germany.
• Xiaolin Sun, 2022. "Estimation of Heterogeneous Treatment Effects Using a Conditional Moment Based Approach," Papers 2210.15829, arXiv.org, revised Oct 2024.
• Kyogo Kanazawa & Daiji Kawaguchi & Hitoshi Shigeoka & Yasutora Watanabe, 2022. "AI, Skill, and Productivity: The Case of Taxi Drivers," NBER Working Papers 30612, National Bureau of Economic Research, Inc.
• Geon Lee & Tae-Kyoung Kim & Hyun-Gyoon Kim & Jeonggyu Huh, 2022. "Newton Raphson Emulation Network for Highly Efficient Computation of Numerous Implied Volatilities," Papers 2210.15969, arXiv.org.
• Régis MARODON & Jean-Baptiste Jacouton & Adeline LAULANIE, 2022. "The Proof is in the Pudding. Revealing the SDGs with Artificial Intelligence," Working Paper 85f81dba-c8e2-4255-878a-0, Agence française de développement.
• Ioana Boier, 2022. "Multiresolution Signal Processing of Financial Market Objects," Papers 2210.15934, arXiv.org, revised Nov 2022.
• Kevin Hu & Retsef Levi & Raphael Yahalom & El Ghali Zerhouni, 2022. "Supply Chain Characteristics as Predictors of Cyber Risk: A Machine-Learning Assessment," Papers 2210.15785, arXiv.org, revised Nov 2023.
• Qiang Gao & Xinzhu Zhou & Kunpeng Zhang & Li Huang & Siyuan Liu & Fan Zhou, 2022. "Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs," Papers 2210.15925, arXiv.org.
• Mostafa Shabani & Martin Magris & George Tzagkarakis & Juho Kanniainen & Alexandros Iosifidis, 2022. "Predicting the State of Synchronization of Financial Time Series using Cross Recurrence Plots," Papers 2210.14605, arXiv.org, revised Nov 2022.
• Diogo G. C. Britto & Alexandre Fonseca & Paolo Pinotti & Breno Sampaio & Lucas Warwar, 2022. "Intergenerational Mobility in the Land of Inequality," CESifo Working Paper Series 10004, CESifo.
• Alessandra Garbero & Tulia Gattone & Marco Letta & Pierluigi Montalbano, 2022. "Market proximity, resilience, and food security: A cross-country empirical analysis," Working Papers 9/22, Sapienza University of Rome, DISS.
• Heinger, Sandro & Koeniger, Winfried & Lechner, Michael, 2022. "The Heterogeneous Response of Real Estate Asset Prices to a Global Shock," Economics Working Paper Series 2214, University of St. Gallen, School of Economics and Political Science.
• Bernd Hayo & Johannes Zahner, 2022. "What’s that noise? Analysing sentiment-based variation in central bank communication," MAGKS Papers on Economics 202241, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
• Daniel Borup & Philippe Goulet Coulombe & Erik Christian Montes Schütte & David E. Rapach & Sander Schwenk-Nebbe, 2022. "The Anatomy of Out-of-Sample Forecasting Accuracy," FRB Atlanta Working Paper 2022-16, Federal Reserve Bank of Atlanta.
• Naef, Alain, 2022. "Blowing against the Wind? A Narrative Approach to Central Bank Foreign Exchange Intervention," SocArXiv u59gc, Center for Open Science.
• Dania Eugenidis & David Lenz, 2022. "Measuring Gender Differences in Personalities through Natural Language in the Labor Force: Application of the 5-Factor Model," MAGKS Papers on Economics 202240, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
• Kurt Maxwell Kusterer & Sylvain Mignot & Annick Vignes, 2022. "Analyzing the commentator network within the French YouTube environment," Post-Print hal-03799185, HAL.