Report NEP-BIG-2022-03-28

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:

• Zhang, Baobao, 2021. "Public Opinion Toward Artificial Intelligence," OSF Preprints 284sm, Center for Open Science.
• Gurjeet Singh, 2022. "Machine Learning Models in Stock Market Prediction," Papers 2202.09359, arXiv.org.
• Markus Brunnermeier & Rohit Lamba & Carlos Segura-Rodriguez, 2020. "Inverse Selection," Working Papers 2020-50, Princeton University. Economics Department..
• Samuele Centorrino & Jean-Pierre Florens & Jean-Michel Loubes, 2022. "Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables," Papers 2202.08977, arXiv.org.
• José Luis Montiel Olea & Pietro Ortoleva & Mallesh Pai & Andrea Prat, 2021. "Competing Models," Working Papers 2021-89, Princeton University. Economics Department..
• German Rodikov & Nino Antulov-Fantulin, 2022. "Can LSTM outperform volatility-econometric models?," Papers 2202.11581, arXiv.org.
• Ahmad Ibrahim Aljumah & Mohammed T. Nuseir & Md. Mahmudul Alam, 2021. "Traditional marketing analytics, big data analytics and big data system quality and the success of new product development," Post-Print hal-03538161, HAL.
• Levy, Daniel & Mayer, Tamir & Raviv, Alon, 2022. "Economists in the 2008 Financial Crisis: Slow to See, Fast to Act," MPRA Paper 112008, University Library of Munich, Germany.
• Jan Balaguer & Raphael Koster & Ari Weinstein & Lucy Campbell-Gillingham & Christopher Summerfield & Matthew Botvinick & Andrea Tacchetti, 2022. "HCMD-zero: Learning Value Aligned Mechanisms from Data," Papers 2202.10122, arXiv.org, revised May 2022.
• Laureti, Lucio & Costantiello, Alberto & Matarrese, Marco Maria & Leogrande, Angelo, 2022. "Foreign Doctorate Students in Europe," MPRA Paper 111954, University Library of Munich, Germany.
• Fred Espen Benth & Nils Detering & Luca Galimberti, 2022. "Pricing options on flow forwards by neural networks in Hilbert space," Papers 2202.11606, arXiv.org.
• Resce, Giuliano, 2022. "Political and Non-Political Officials in Local Government," Economics & Statistics Discussion Papers esdp22079, University of Molise, Department of Economics.
• Erhan Bayraktar & Tao Chen, 2022. "Nonparametric Adaptive Robust Control Under Model Uncertainty," Papers 2202.10391, arXiv.org, revised Mar 2022.
• Zexuan Yin & Paolo Barucca, 2022. "Neural Generalised AutoRegressive Conditional Heteroskedasticity," Papers 2202.11285, arXiv.org.
• Claudio Vitari & E. Raguseo, 2021. "Big data technologies: perceived benefits and costs for adopter and non-adopter enterprises [Technologies pour les données massives : Bénéfices et coûts perçus par les entreprises adoptantes et non," Post-Print hal-03323888, HAL.
• Ryo Aruga & Keiichi Goshima & Takashi Chiba, 2022. "CO2 Emissions and Corporate Performance: Japan's Evidence with Double Machine Learning," IMES Discussion Paper Series 22-E-01, Institute for Monetary and Economic Studies, Bank of Japan.
• Fengshi Niu & Harsha Nori & Brian Quistorff & Rich Caruana & Donald Ngwe & Aadharsh Kannan, 2022. "Differentially Private Estimation of Heterogeneous Causal Effects," Papers 2202.11043, arXiv.org.
• Annaka, Susumu & Hara, Taketo, 2021. "What Attitude Did the Japanese News Media Take toward the 2020 Tokyo Olympic Games? Sentiment Analysis of the Japanese Newspapers," OSF Preprints k4bc2, Center for Open Science.
• John Gibson & Yi Jiang & Bambang Susantono, 2022. "Revisiting the role of secondary towns: Effects of different types of urban growth on poverty in Indonesia," Working Papers in Economics 22/05, University of Waikato.