Report NEP-BIG-2023-10-02

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:

• Timothy Besley & Thiemo Fetzer & Hannes Mueller, 2023. "How Big Is the Media Multiplier? Evidence from Dyadic News Data," CESifo Working Paper Series 10619, CESifo.
• Alexander Yarkin, 2023. "Learning from the Origins," CESifo Working Paper Series 10626, CESifo.
• Patrick Rehill & Nicholas Biddle, 2023. "Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making," Papers 2309.00805, arXiv.org.
• Timothy DeLise, 2023. "Deep Semi-Supervised Anomaly Detection for Finding Fraud in the Futures Market," Papers 2309.00088, arXiv.org.
• Damien Challet & Vincent Ragel, 2023. "Recurrent Neural Networks with more flexible memory: better predictions than rough volatility," Papers 2308.08550, arXiv.org.
• Brunori, Paolo & Hufe, Paul & Mahler, Daniel, 2023. "The roots of inequality: estimating inequality of opportunity from regression trees and forests," LSE Research Online Documents on Economics 118220, London School of Economics and Political Science, LSE Library.
• Kelvin J. L. Koa & Yunshan Ma & Ritchie Ng & Tat-Seng Chua, 2023. "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction," Papers 2309.00073, arXiv.org, revised Oct 2023.
• Morande, Swapnil & Arshi, Tahseen & Gul, Kanwal & Amini, Mitra, 2023. "Harnessing the Power of Artificial Intelligence to Forecast Startup Success: An Empirical Evaluation of the SECURE AI Model," SocArXiv p3gyb, Center for Open Science.
• Jianghao Chu & Tae-Hwy Lee & Aman Ullah, 2023. "Asymmetric AdaBoost for High-dimensional Maximum Score Regression," Working Papers 202306, University of California at Riverside, Department of Economics.
• Kwok Ping Tsang & Zichao Yang, 2023. "Agree to Disagree: Measuring Hidden Dissent in FOMC Meetings," Papers 2308.10131, arXiv.org, revised Nov 2024.
• Ali Asgarov, 2023. "Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing," Papers 2309.00136, arXiv.org.
• Eugene Kharitonov & Oksana Zakharchuk & Lin Mei, 2023. "Long-term Effects of Temperature Variations on Economic Growth: A Machine Learning Approach," Papers 2308.06265, arXiv.org.
• Kasey Buckles & Adrian Haws & Joseph Price & Haley E.B. Wilbert, 2023. "Breakthroughs in Historical Record Linking Using Genealogy Data: The Census Tree Project," NBER Working Papers 31671, National Bureau of Economic Research, Inc.
• Leogrande, Angelo & Costantiello, Alberto & Leogrande, Domenico, 2023. "The Socio-Economic Determinants of the Number of Physicians in Italian Regions," MPRA Paper 118460, University Library of Munich, Germany.
• Oschinski, Matthias, 2023. "Assessing the Impact of Artificial Intelligence on Germany's Labor Market: Insights from a ChatGPT Analysis," MPRA Paper 118300, University Library of Munich, Germany.
• JEONG, Young Sik & BAEK, Yaein, 2023. "Decoding Financial Crises: Analyzing Predictors and Evolution," World Economy Brief 23-28, Korea Institute for International Economic Policy.
• Andrii Babii & Eric Ghysels & Jonas Striaukas, 2023. "Econometrics of Machine Learning Methods in Economic Forecasting," Papers 2308.10993, arXiv.org.
• Kapil Panda, 2023. "Analysis of Optimal Portfolio Management Using Hierarchical Clustering," Papers 2308.11202, arXiv.org.
• van den Berg, Gerard J. & Kunaschk, Max & Lang, Julia & Stephan, Gesine & Uhlendorff, Arne, 2023. "Predicting Re-Employment: Machine Learning versus Assessments by Unemployed Workers and by Their Caseworkers," IZA Discussion Papers 16426, Institute of Labor Economics (IZA).
• Zunaidah Sulong & Mohammad Abdullah & Emmanuel J. A. Abakah & David Adeabah & Simplice Asongu, 2023. "Russia-Ukraine war and G7 debt markets: Evidence from public sentiment towards economic sanctions during the conflict," Working Papers 23/057, European Xtramile Centre of African Studies (EXCAS).
• Daniel Bussell & Camilo Andr'es Garc'ia-Trillos, 2023. "Deep multi-step mixed algorithm for high dimensional non-linear PDEs and associated BSDEs," Papers 2308.14487, arXiv.org.
• Lohani, Fazle & Rahman, Mostafizur & Shaturaev, Jakhongir, 2023. "The Impact of Artificial Intelligence on Economic Patterns," MPRA Paper 118316, University Library of Munich, Germany, revised 08 Mar 2023.
• Julia Schmidt & Graham Pilgrim & Annabelle Mourougane, 2023. "What is the role of data in jobs in the United Kingdom, Canada, and the United States?: A natural language processing approach," OECD Statistics Working Papers 2023/05, OECD Publishing.
• Callan Windsor & Max Zang, 2023. "Firms' Price-setting Behaviour: Insights from Earnings Calls," RBA Research Discussion Papers rdp2023-06, Reserve Bank of Australia.