Report NEP-BIG-2023-03-27

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:

• Stephen Hansen & Peter John Lambert & Nicholas Bloom & Steven J. Davis & Raffaella Sadun & Bledi Taska, 2023. "Remote Work across Jobs, Companies, and Space," NBER Working Papers 31007, National Bureau of Economic Research, Inc.
• Nikhil Malik & Emaad Manzoor, 2023. "Does Machine Learning Amplify Pricing Errors in the Housing Market? -- The Economics of Machine Learning Feedback Loops," Papers 2302.09438, arXiv.org.
• Mahdieh Yazdani & Maziar Raissi, 2023. "Real Estate Property Valuation using Self-Supervised Vision Transformers," Papers 2302.00117, arXiv.org.
• Sharma, Rahul, 2021. "The Effects of Artificial Intelligence on the World as a Whole from an Economic Perspective," MPRA Paper 116596, University Library of Munich, Germany.
• Sonan Memon, 2022. "Inflation in Pakistan: High-Frequency Estimation and Forecasting," PIDE-Working Papers 2022:12, Pakistan Institute of Development Economics.
• Maudud Hassan Uzzal & Robert Ślepaczuk, 2023. "The performance of time series forecasting based on classical and machine learning methods for S&P 500 index," Working Papers 2023-05, Faculty of Economic Sciences, University of Warsaw.
• Lorena Torres Lahoz & Francisco Camara Pereira & Georges Sfeir & Ioanna Arkoudi & Mayara Moraes Monteiro & Carlos Lima Azevedo, 2023. "Attitudes and Latent Class Choice Models using Machine learning," Papers 2302.09871, arXiv.org.
• Shubhranshu Shekhar & Jetson Leder-Luis & Leman Akoglu, 2023. "Unsupervised Machine Learning for Explainable Health Care Fraud Detection," NBER Working Papers 30946, National Bureau of Economic Research, Inc.
• Hansen, Stephen & Lambert, Peter John & Bloom, Nicholas & Davis, Steven J. & Sadun, Raffaella & Taska, Bledi, 2023. "Remote Work across Jobs, Companies, and Space," IZA Discussion Papers 15980, Institute of Labor Economics (IZA).
• Albert, Jose Ramon G. & Vizmanos, Jana Flor V. & Muñoz, Mika S. & Brucal, Arlan & Halili, Riza Teresita & Lumba, Angelo Jose & Patanñe, Gaile Anne, 2022. "Addressing Data Gaps with Innovative Data Sources," Discussion Papers DP 2022-55, Philippine Institute for Development Studies.
• James Bell, 2023. "The global economic impact of AI technologies in the fight against financial crime," Papers 2302.13823, arXiv.org.
• Philippe Goulet Coulombe, 2021. "The Macroeconomy as a Random Forest," Working Papers 21-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
• Pedro I. Hancevic & Hector H. Sandoval, 2023. "Solar Panel Adoption in SMEs in Emerging Countries," Working Papers 222, Red Nacional de Investigadores en Economía (RedNIE).
• Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Working Papers 22-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
• Philipp Adammer & Jan Pruser & Rainer Schussler, 2023. "Forecasting Macroeconomic Tail Risk in Real Time: Do Textual Data Add Value?," Papers 2302.13999, arXiv.org, revised May 2024.
• Item repec:bre:wpaper:node_8829 is not listed on IDEAS anymore

• Fazl Barez & Paul Bilokon & Arthur Gervais & Nikita Lisitsyn, 2023. "Exploring the Advantages of Transformers for High-Frequency Trading," Papers 2302.13850, arXiv.org.
• Dorinth van Dijk & Jasper de Winter, 2023. "Nowcasting GDP using tone-adjusted time varying news topics: Evidence from the financial press," Working Papers 766, DNB.
• Arun Kumar Polala & Bernhard Hientzsch, 2023. "Parametric Differential Machine Learning for Pricing and Calibration," Papers 2302.06682, arXiv.org, revised Feb 2023.
• Alper Deniz Karakas, 2023. "Reevaluating the Taylor Rule with Machine Learning," Papers 2302.08323, arXiv.org.
• Massimiliano Marcellino & Dalibor Stevanovic, 2022. "The demand and supply of information about inflation," Working Papers 22-06, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2022.
• Daas, Piet & Hassink, Wolter & Klijs, Bart, 2023. "On the Validity of Using Webpage Texts to Identify the Target Population of a Survey: An Application to Detect Online Platforms," IZA Discussion Papers 15941, Institute of Labor Economics (IZA).
• Wee Ling Tan & Stephen Roberts & Stefan Zohren, 2023. "Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional Strategies," Papers 2302.10175, arXiv.org.
• Vasilis Syrgkanis & Ruohan Zhan, 2023. "Post Reinforcement Learning Inference," Papers 2302.08854, arXiv.org, revised May 2024.
• Ivan Guo & Nicolas Langren'e & Jiahao Wu, 2023. "Simultaneous upper and lower bounds of American-style option prices with hedging via neural networks," Papers 2302.12439, arXiv.org, revised Nov 2024.