Report NEP-CMP-2023-03-20

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stan Miles issued this report. It is usually issued weekly.

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Other reports in NEP-CMP

The following items were announced in this report:

• Markus Leippold, 2023. "Sentiment Spin: Attacking Financial Sentiment with GPT-3," Swiss Finance Institute Research Paper Series 23-11, Swiss Finance Institute.
• O'Donoghue, Cathal & Sologon, Denisa Maria, 2023. "The Transformation of Public Policy Analysis in Times of Crisis – A Microsimulation-Nowcasting Method Using Big Data," IZA Discussion Papers 15937, Institute of Labor Economics (IZA).
• Abu S. Shonchoy & Moogdho M. Mahzab & Towhid I. Mahmood & Manhal Ali, 2023. "Data Driven Contagion Risk Management in Low-Income Countries using Machine Learning Applications with COVID-19 in South Asia," Working Papers 2302, Florida International University, Department of Economics.
• Muhammed Oguzhan Mete & Tahsin Yomralioglu, 2022. "Mass Valuation of Real Estate Using GIS-based Nominal Valuation and Machine Learning Methods," ERES 2022_177, European Real Estate Society (ERES).
• Lily Davies & Mark Kattenberg & Benedikt Vogt, 2023. "Predicting Firm Exits with Machine Learning: Implications for Selection into COVID-19 Support and Productivity Growth," CPB Discussion Paper 444, CPB Netherlands Bureau for Economic Policy Analysis.
• Ahrens, Achim & Hansen, Christian B. & Schaffer, Mark E & Wiemann, Thomas, 2023. "ddml: Double/Debiased Machine Learning in Stata," IZA Discussion Papers 15963, Institute of Labor Economics (IZA).
• Yen-Jui Chang & Wei-Ting Wang & Hao-Yuan Chen & Shih-Wei Liao & Ching-Ray Chang, 2023. "Preparing random state for quantum financing with quantum walks," Papers 2302.12500, arXiv.org, revised Mar 2023.
• Jaroslaw Morawski & Anetta Proskurovska, 2022. "Simulation analysis of the impact of blockchain-orchestrated home sales in Sweden on housing price dynamics," ERES 2022_187, European Real Estate Society (ERES).
• Jingyi Gu & Fadi P. Deek & Guiling Wang, 2023. "Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network," Papers 2302.14164, arXiv.org.
• Popoola, Osuolale Peter & Adeboye, Olawale Nureni, 2023. "Fourth Industrial Revolution and Evolution of Data Science: Challenges for Official Statistics," EconStor Research Reports 268717, ZBW - Leibniz Information Centre for Economics.
• Konrad Lewszyk & Piotr Wójcik, 2023. "Modelling Subjective Attractiveness," Working Papers 2023-06, Faculty of Economic Sciences, University of Warsaw.
• Frank, Johannes, 2023. "Forecasting realized volatility in turbulent times using temporal fusion transformers," FAU Discussion Papers in Economics 03/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
• Andrew Green & Lucas Lamby, 2023. "The supply, demand and characteristics of the AI workforce across OECD countries," OECD Social, Employment and Migration Working Papers 287, OECD Publishing.
• Dutt, Satyajit & Radermacher, Jan W., 2023. "Age, wealth, and the MPC in Europe: A supervised machine learning approach," SAFE Working Paper Series 383, Leibniz Institute for Financial Research SAFE.
• Harrison, Joseph S. & Josefy, Matthew A. & Kalm, Matias & Krause, Ryan, 2022. "Using supervised machine learning to scale human‐coded data: A method and dataset in the board leadership context," Other publications TiSEM abc9f83d-960e-40c5-ae40-3, Tilburg University, School of Economics and Management.
• Shuo Sun & Molei Qin & Xinrun Wang & Bo An, 2023. "PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets," Papers 2302.00586, arXiv.org, revised Mar 2023.