Report NEP-BIG-2022-08-29

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.

Subscribe to this report: email, RSS, or Mastodon.

Other reports in NEP-BIG

The following items were announced in this report:

• Achim Ahrens, 2022. "Double/debiased machine learning in Stata," Italian Stata Users' Group Meetings 2022 06, Stata Users Group.
• Achim Ahrens, 2022. "Stacking generalization and machine learning in Stata," Italian Stata Users' Group Meetings 2022 05, Stata Users Group.
• Koffi, Siméon, 2022. "Prévision de l’inflation en Côte D’ivoire : Analyse Comparée des Modèles Arima, Holt-Winters, et Lstm [Inflation Forecasting in Côte D'Ivoire: A Comparative Analysis of the Arima, Holt-Winters, and," MPRA Paper 113961, University Library of Munich, Germany.
• Andrés Alonso & José Manuel Carbó, 2022. "Accuracy of explanations of machine learning models for credit decisions," Working Papers 2222, Banco de España.
• Luo, Yufeng & Smith,, Travis A. & Chen,, Feifei, 2022. "Prediction of WIC Program Participation: A Machine Learning Approach to Fix Reporting Error," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322555, Agricultural and Applied Economics Association.
• Muriuki, James M. & Fuad, Syed M. & Badruddoza, Syed, 2022. "Can Machine Learning Predict Defaults in Peer-to-Peer Small Loans?," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322533, Agricultural and Applied Economics Association.
• Bhaskarjit Sarmah & Nayana Nair & Dhagash Mehta & Stefano Pasquali, 2022. "Learning Embedded Representation of the Stock Correlation Matrix using Graph Machine Learning," Papers 2207.07183, arXiv.org.
• Kim, Dongin & Steinbach, Sandro, 2022. "Preferential Trading in Agricultural and Food Products: New Insights from a Structural Gravity Analysis and Machine Learning," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322200, Agricultural and Applied Economics Association.
• Jos'e Pombal & Andr'e F. Cruz & Jo~ao Bravo & Pedro Saleiro & M'ario A. T. Figueiredo & Pedro Bizarro, 2022. "Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions," Papers 2207.06273, arXiv.org.
• Greyling, Talita & Rossouw, Stephanié, 2022. "Re-examining adaptation theory using Big Data: Reactions to external shocks," GLO Discussion Paper Series 1129, Global Labor Organization (GLO).
• Fantazzini, Dean, 2022. "Crypto Coins and Credit Risk: Modelling and Forecasting their Probability of Death," MPRA Paper 113744, University Library of Munich, Germany.
• Qian, Yilin & Thompson, Ryan & Vasnev, Andrey L, 2022. "Global combinations of expert forecasts," Working Papers BAWP-2022-02, University of Sydney Business School, Discipline of Business Analytics.
• Grzegorz Marcjasz & Micha{l} Narajewski & Rafa{l} Weron & Florian Ziel, 2022. "Distributional neural networks for electricity price forecasting," Papers 2207.02832, arXiv.org, revised Dec 2022.
• Benjamin C. Chu, 2022. "Who Did the Affordable Care Act Medicaid Expansion Impact? Using Linear Discriminant Analysis to Estimate the Probability of Being a Complier," Working Papers 202202, University of Hawaii at Manoa, Department of Economics.
• Takashi Nakazawa, 2022. "Constructing GDP Nowcasting Models Using Alternative Data," Bank of Japan Working Paper Series 22-E-9, Bank of Japan.
• Brunori, Paolo & Salas-Rojo, Pedro & Verme, Paolo, 2022. "Estimating Inequality with Missing Incomes," GLO Discussion Paper Series 1138, Global Labor Organization (GLO).
• Eleni Fotopoulou & Ioanna Mandilara & Anastasios Zafeiropoulos & Chrysi Laspidou & Giannis Adamos & Phoebe Koundouri & Symeon Papavassiliou, 2022. "SustainGraph: a Knowledge Graph for tracking Evolution and Interlinking of Sustainable Development Goals' Targets," DEOS Working Papers 2220, Athens University of Economics and Business.
• Loïck Simon & Philippe Rauffet & Clément Guérin & Cédric Seguin, 2022. "Trust in an autonomous agent for predictive maintenance: how agent transparency could impact compliance," Post-Print hal-03536524, HAL.
• Pumplun, Luisa, 2022. "Developing a Pathway for the Adoption of Machine Learning Systems in Organizations: An Analysis of Drivers, Barriers, and Impacts with a Focus on the Healthcare Sector," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 133617, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).