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 (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:
- Lockhart, Jeffrey W, 2022, "Gender, Sex, and the Constraints of Machine Learning Methods," SocArXiv, Center for Open Science, number zj468, Nov, DOI: 10.31219/osf.io/zj468.
- J Gallego & M Prem & J. F. Vargas, 2022, "Predicting Politicians Misconduct: Evidence From Colombia," Documentos de Trabajo, Universidad del Rosario, number 20504, Oct.
- Gallego, Jorge & Prem, Mounu & Vargas, Juan F., 2022, "Predicting Politicians' Misconduct: Evidence from Colombia," SocArXiv, Center for Open Science, number 5dp8t, Oct, DOI: 10.31219/osf.io/5dp8t.
- Andrew Caplin & Daniel J. Martin & Philip Marx, 2022, "Modeling Machine Learning: A Cognitive Economic Approach," NBER Working Papers, National Bureau of Economic Research, Inc, number 30600, Oct.
- Florenta Teodoridis & Jino Lu & Jeffrey L. Furman, 2022, "Mapping the Knowledge Space: Exploiting Unassisted Machine Learning Tools," NBER Working Papers, National Bureau of Economic Research, Inc, number 30603, Oct.
- Beckmeyer, Heiner & Wiedemann, Timo, 2022, "Recovering Missing Firm Characteristics with Attention-Based Machine Learning," VfS Annual Conference 2022 (Basel): Big Data in Economics, Verein für Socialpolitik / German Economic Association, number 264135.
- David Dranove & Craig Garthwaite, 2022, "Artificial Intelligence, the Evolution of the Healthcare Value Chain, and the Future of the Physician," NBER Working Papers, National Bureau of Economic Research, Inc, number 30607, Oct.
- Oecd, 2022, "Measuring the environmental impacts of artificial intelligence compute and applications: The AI footprint," OECD Digital Economy Papers, OECD Publishing, number 341, Nov, DOI: 10.1787/7babf571-en.
- Rocque, Sarvesh Raj, 2022, "A Multivariate Analysis of Technology and Education in the 21st Century: Antecedents and Determinants," MPRA Paper, University Library of Munich, Germany, number 115239, Oct.
- Daisuke Fujii & Taisuke Nakata & Takeshi Ojima, 2022, "Heterogeneous Risk Attitudes and Waves of Infection," CARF F-Series, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, number CARF-F-546, Nov.
- Kevin Kamm & Michelle Muniz, 2022, "Rating Triggers for Collateral-Inclusive XVA via Machine Learning and SDEs on Lie Groups," Papers, arXiv.org, number 2211.00326, Nov.
- 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, arXiv.org, number 2211.00363, Nov, 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, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 381.
- Lukas Gonon, 2022, "Deep neural network expressivity for optimal stopping problems," Papers, arXiv.org, number 2210.10443, Oct.
- Bradrania, Reza & Pirayesh Neghab, Davood, 2021, "State-dependent asset allocation using neural networks," MPRA Paper, University Library of Munich, Germany, number 115254, Feb.
- Xiaolin Sun, 2022, "Estimation of Heterogeneous Treatment Effects Using a Conditional Moment Based Approach," Papers, arXiv.org, number 2210.15829, Oct, revised Oct 2024.
- Kyogo Kanazawa & Daiji Kawaguchi & Hitoshi Shigeoka & Yasutora Watanabe, 2022, "AI, Skill, and Productivity: The Case of Taxi Drivers," NBER Working Papers, National Bureau of Economic Research, Inc, number 30612, Oct.
- Geon Lee & Tae-Kyoung Kim & Hyun-Gyoon Kim & Jeonggyu Huh, 2022, "Newton Raphson Emulation Network for Highly Efficient Computation of Numerous Implied Volatilities," Papers, arXiv.org, number 2210.15969, Oct.
- Régis MARODON & Jean-Baptiste Jacouton & Adeline LAULANIE, 2022, "The Proof is in the Pudding. Revealing the SDGs with Artificial Intelligence," Working Paper, Agence française de développement, number 85f81dba-c8e2-4255-878a-0, Oct.
- Ioana Boier, 2022, "Multiresolution Signal Processing of Financial Market Objects," Papers, arXiv.org, number 2210.15934, Oct, 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, arXiv.org, number 2210.15785, Oct, 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, arXiv.org, number 2210.15925, Oct.
- 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, arXiv.org, number 2210.14605, Oct, 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, CESifo, number 10004.
- Alessandra Garbero & Tulia Gattone & Marco Letta & Pierluigi Montalbano, 2022, "Market proximity, resilience, and food security: A cross-country empirical analysis," Working Papers, Sapienza University of Rome, DISS, number 9/22, Nov.
- Heinger, Sandro & Koeniger, Winfried & Lechner, Michael, 2022, "The Heterogeneous Response of Real Estate Asset Prices to a Global Shock," Economics Working Paper Series, University of St. Gallen, School of Economics and Political Science, number 2214, Nov.
- Bernd Hayo & Johannes Zahner, 2022, "What’s that noise? Analysing sentiment-based variation in central bank communication," MAGKS Papers on Economics, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung), number 202241.
- 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, Federal Reserve Bank of Atlanta, number 2022-16, Nov, DOI: 10.29338/wp2022-16.
- Naef, Alain, 2022, "Blowing against the Wind? A Narrative Approach to Central Bank Foreign Exchange Intervention," SocArXiv, Center for Open Science, number u59gc, Oct, DOI: 10.31219/osf.io/u59gc.
- 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, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung), number 202240.
- Kurt Maxwell Kusterer & Sylvain Mignot & Annick Vignes, 2022, "Analyzing the commentator network within the French YouTube environment," Post-Print, HAL, number hal-03799185, Nov.
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