Report NEP-BIG-2022-03-21

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:

• Matthew Harding & Gabriel F. R. Vasconcelos, 2022. "Managers versus Machines: Do Algorithms Replicate Human Intuition in Credit Ratings?," Papers 2202.04218, arXiv.org.
• Avi Goldfarb & Bledi Taska & Florenta Teodoridis, 2022. "Could Machine Learning be a General Purpose Technology? A Comparison of Emerging Technologies Using Data from Online Job Postings," NBER Working Papers 29767, National Bureau of Economic Research, Inc.
• Baumgartner, Peter & Smith, Amanda & Olmsted, Murrey & Ohse, Dawn, 2021. "A Framework for using Machine Learning to Support Qualitative Data Coding," OSF Preprints fueyj, Center for Open Science.
• Aljumah, Ahmad Ibrahim & Nuseir, Mohammed T. & Alam, Md. Mahmudul, 2021. "Traditional Marketing Analytics, Big Data Analytics, Big Data System Quality and the Success of New Product Development," OSF Preprints 9auec, Center for Open Science.
• Elena Ivona Dumitrescu & Sullivan Hué & Christophe Hurlin & Sessi Tokpavi, 2022. "Machine Learning for Credit Scoring: Improving Logistic Regression with Non Linear Decision Tree Effects," Post-Print hal-03331114, HAL.
• Georges Casamatta & Sauveur Giannoni & Daniel Brunstein & Johan Jouve, 2022. "Host type and pricing on Airbnb: Seasonality and perceived market power," Post-Print hal-03250484, HAL.
• Mark Braverman & Sylvain Chassang, 2020. "Data-Driven Incentive Alignment in Capitation Schemes," Working Papers 2020-60, Princeton University. Economics Department..
• Velardez, Miguel Omar & Dima, Germán César, 2022. "Desarrollo de una herramienta de aprendizaje automático (machine learning) para establecer relaciones entre ocupaciones y programas de capacitación en el Uruguay," Documentos de Proyectos 47724, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
• Aljumah, Ahmad Ibrahim & Nuseir, Mohammed T. & Alam, Md. Mahmudul, 2021. "Organizational Performance and Capabilities to Analyze Big Data: Do the Ambidexterity and Business Value of Big Data Analytics Matter?," OSF Preprints an8er, Center for Open Science.
• Sumit Agarwal & John R. Grigsby & Ali Hortaçsu & Gregor Matvos & Amit Seru, 2020. "Searching for Approval," Working Papers 2020-1, Princeton University. Economics Department..
• Yu Zhao & Shaopeng Wei & Yu Guo & Qing Yang & Xingyan Chen & Qing Li & Fuzhen Zhuang & Ji Liu & Gang Kou, 2022. "Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks," Papers 2202.03874, arXiv.org, revised Jul 2022.
• Gao, Robert, 2021. "Reading Between the Lines : Objective Function Estimation using RBA Communications," Warwick-Monash Economics Student Papers 21, Warwick Monash Economics Student Papers.
• Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org, revised Oct 2024.
• Fraccaroli, Nicolò & Giovannini, Alessandro & Jamet, Jean-Francois & Persson, Eric, 2022. "Ideology and monetary policy: the role of political parties’ stances in the ECB’s parliamentary hearings," Working Paper Series 2655, European Central Bank.
• Vicinanza, Paul & Goldberg, Amir & Srivastava, Sameer, 2021. "Quantifying Vision through Language Demonstrates that Visionary Ideas Come from the Periphery," OSF Preprints 3h8xp, Center for Open Science.
• Shenkman, Carey & Franklin, Sharon Bradford & Nojeim, Greg & Thakur, Dhanaraj, 2021. "Legal Loopholes and Data for Dollars: How Law Enforcement and Intelligence Agencies Are Buying Your Data from Brokers," OSF Preprints p3aqk, Center for Open Science.