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Report NEP-CMP-2022-10-10
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:
- du Plessis, Emile & Fritsche, Ulrich, 2022, "New forecasting methods for an old problem: Predicting 147 years of systemic financial crises," WiSo-HH Working Paper Series, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory, number 67.
- Yiyan Huang & Cheuk Hang Leung & Xing Yan & Qi Wu & Shumin Ma & Zhiri Yuan & Dongdong Wang & Zhixiang Huang, 2022, "Robust Causal Learning for the Estimation of Average Treatment Effects," Papers, arXiv.org, number 2209.01805, Sep.
- Berend Jelmer Dirk Gort & Xiao-Yang Liu & Xinghang Sun & Jiechao Gao & Shuaiyu Chen & Christina Dan Wang, 2022, "Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting," Papers, arXiv.org, number 2209.05559, Sep, revised Jan 2023.
- Michelle Alexopoulos & Xinfen Han & Oleksiy Kryvtsov & Xu Zhang, 2022, "More Than Words: Fed Chairs' Communications During Congressional Testimonies," Working Papers, University of Toronto, Department of Economics, number tecipa-737, Sep.
- Jessica Birkholz, 2022, "Transforming Regional Knowledge Bases: A Network and Machine Learning Approach to Link Entrepreneurial Experimentation and Regional Absorptive Capacity," Bremen Papers on Economics & Innovation, University of Bremen, Faculty of Business Studies and Economics, number 2205, Apr, DOI: https://doi.org/10.26092/elib/1513.
- Lena Sasal & Tanujit Chakraborty & Abdenour Hadid, 2022, "W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting," Papers, arXiv.org, number 2209.03945, Sep.
- Shrub, Yuliya & Rieger, Jonas & Müller, Henrik & Jentsch, Carsten, 2022, "Text data rule - don't they? A study on the (additional) information of Handelsblatt data for nowcasting German GDP in comparison to established economic indicators," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 964, DOI: 10.4419/96973128.
- Ella Marley-Zagar & Ian R. White & Tim P. Morris, 2022, "A suite of Stata programs for analysing simulation studies," London Stata Conference 2022, Stata Users Group, number 02, Sep.
- Linda Zhang & Gang D.U. & Jun W.U. & Yujie M.A., 2020, "Joint production planning, pricing and retailer selection with emission control based on Stackelberg game and nested genetic algorithm," Post-Print, HAL, number hal-03276837, Dec, DOI: 10.1016/j.eswa.2020.113733.
- Tae-Hwy Lee & Ekaterina Seregina, 2022, "Combining Forecasts under Structural Breaks Using Graphical LASSO," Papers, arXiv.org, number 2209.01697, Sep, revised Sep 2023.
- Nora Lustig & Valentina Martinez Pabon, 2022, "Universal Basic Income, Taxes, and the Poor," Working Papers, Tulane University, Department of Economics, number 2205, Sep.
- Lange, Kai-Robin & Reccius, Matthias & Schmidt, Tobias & Müller, Henrik & Roos, Michael W. M. & Jentsch, Carsten, 2022, "Towards extracting collective economic narratives from texts," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 963, DOI: 10.4419/96973127.
- Krzysztof Makarski & Joanna Tyrowicz, 2022, "Inequality in an OLG economy with endogenous structural change," GRAPE Working Papers, GRAPE Group for Research in Applied Economics, number 68.
- Nora Lustig & Valentina Martinez Pabon & Federico Sanz & Stephen Younger, 2022, "The Impact of COVID-19 on Living Standards: Addressing the Challenges of Nowcasting Unprecedented Macroeconomic Shocks with Scant Data and Uncharted Economic Behavior," Working Papers, Tulane University, Department of Economics, number 2206, Sep.