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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 (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:
- Matthew Harding & Gabriel F. R. Vasconcelos, 2022, "Managers versus Machines: Do Algorithms Replicate Human Intuition in Credit Ratings?," Papers, arXiv.org, number 2202.04218, Feb.
- 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, National Bureau of Economic Research, Inc, number 29767, Feb.
- Baumgartner, Peter & Smith, Amanda & Olmsted, Murrey & Ohse, Dawn, 2021, "A Framework for using Machine Learning to Support Qualitative Data Coding," OSF Preprints, Center for Open Science, number fueyj, Nov, DOI: 10.31219/osf.io/fueyj.
- 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, Center for Open Science, number 9auec, Nov, DOI: 10.31219/osf.io/9auec.
- 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, number hal-03331114, DOI: 10.1016/j.ejor.2021.06.053.
- Georges Casamatta & Sauveur Giannoni & Daniel Brunstein & Johan Jouve, 2022, "Host type and pricing on Airbnb: Seasonality and perceived market power," Post-Print, HAL, number hal-03250484, DOI: 10.1016/j.tourman.2021.104433.
- Mark Braverman & Sylvain Chassang, 2020, "Data-Driven Incentive Alignment in Capitation Schemes," Working Papers, Princeton University. Economics Department., number 2020-60, Mar.
- 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, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 47724, Feb.
- 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, Center for Open Science, number an8er, Nov, DOI: 10.31219/osf.io/an8er.
- Sumit Agarwal & John R. Grigsby & Ali Hortaçsu & Gregor Matvos & Amit Seru, 2020, "Searching for Approval," Working Papers, Princeton University. Economics Department., number 2020-1, Jun.
- 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, arXiv.org, number 2202.03874, Jan, revised Jul 2022.
- Gao, Robert, 2021, "Reading Between the Lines : Objective Function Estimation using RBA Communications," Warwick-Monash Economics Student Papers, Warwick Monash Economics Student Papers, number 21.
- Philippe Goulet Coulombe, 2022, "A Neural Phillips Curve and a Deep Output Gap," Papers, arXiv.org, number 2202.04146, Feb, 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, European Central Bank, number 2655, Mar.
- Vicinanza, Paul & Goldberg, Amir & Srivastava, Sameer, 2021, "Quantifying Vision through Language Demonstrates that Visionary Ideas Come from the Periphery," OSF Preprints, Center for Open Science, number 3h8xp, Nov, DOI: 10.31219/osf.io/3h8xp.
- 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, Center for Open Science, number p3aqk, Dec, DOI: 10.31219/osf.io/p3aqk.