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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. Stanley Miles issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, Swiss Finance Institute, number 23-11, Feb.
- O'Donoghue, Cathal & Sologon, Denisa M., 2023, "The Transformation of Public Policy Analysis in Times of Crisis – A Microsimulation-Nowcasting Method Using Big Data," IZA Discussion Papers, Institute of Labor Economics (IZA), number 15937, Feb.
- 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, Florida International University, Department of Economics, number 2302, Feb.
- Muhammed Oguzhan Mete & Tahsin Yomralioglu, 2022, "Mass Valuation of Real Estate Using GIS-based Nominal Valuation and Machine Learning Methods," ERES, European Real Estate Society (ERES), number 2022_177, Jan.
- 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, CPB Netherlands Bureau for Economic Policy Analysis, number 444, Mar, DOI: 10.34932/krkb-2p27.
- Ahrens, Achim & Hansen, Christian B. & Schaffer, Mark E & Wiemann, Thomas, 2023, "ddml: Double/Debiased Machine Learning in Stata," IZA Discussion Papers, Institute of Labor Economics (IZA), number 15963, Feb.
- 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, arXiv.org, number 2302.12500, Feb, 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, European Real Estate Society (ERES), number 2022_187, Jan.
- Jingyi Gu & Fadi P. Deek & Guiling Wang, 2023, "Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network," Papers, arXiv.org, number 2302.14164, Feb.
- Popoola, Osuolale Peter & Adeboye, Olawale Nureni, 2023, "Fourth Industrial Revolution and Evolution of Data Science: Challenges for Official Statistics," EconStor Research Reports, ZBW - Leibniz Information Centre for Economics, number 268717.
- Konrad Lewszyk & Piotr Wójcik, 2023, "Modelling Subjective Attractiveness," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2023-06.
- Frank, Johannes, 2023, "Forecasting realized volatility in turbulent times using temporal fusion transformers," FAU Discussion Papers in Economics, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, number 03/2023.
- Andrew Green & Lucas Lamby, 2023, "The supply, demand and characteristics of the AI workforce across OECD countries," OECD Social, Employment and Migration Working Papers, OECD Publishing, number 287, Feb, DOI: 10.1787/bb17314a-en.
- Dutt, Satyajit & Radermacher, Jan W., 2023, "Age, wealth, and the MPC in Europe: A supervised machine learning approach," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 383.
- 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, Tilburg University, School of Economics and Management, number abc9f83d-960e-40c5-ae40-3.
- Shuo Sun & Molei Qin & Xinrun Wang & Bo An, 2023, "PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets," Papers, arXiv.org, number 2302.00586, Jan, revised Mar 2023.