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Report NEP-CMP-2021-05-10
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:
- Riccardo Aiolfi & Nicola Moreni & Marco Bianchetti & Marco Scaringi & Filippo Fogliani, 2021, "Learning Bermudans," Papers, arXiv.org, number 2105.00655, May.
- David Imhof & Hannes Wallimann, 2021, "Detecting bid-rigging coalitions in different countries and auction formats," Papers, arXiv.org, number 2105.00337, May.
- Victor Chernozhukov & Whitney K. Newey & Victor Quintas-Martinez & Vasilis Syrgkanis, 2021, "Automatic Debiased Machine Learning via Riesz Regression," Papers, arXiv.org, number 2104.14737, Apr, revised Mar 2024.
- Jayachandran, Seema & Biradavolu, Monica & Cooper, Jan, 2021, "Using machine learning and qualitative interviews to design a five-question women's agency index," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15961, Mar.
- Navid Mottaghi & Sara Farhangdoost, 2021, "Stock Price Forecasting in Presence of Covid-19 Pandemic and Evaluating Performances of Machine Learning Models for Time-Series Forecasting," Papers, arXiv.org, number 2105.02785, May.
- Martin Huber & Jonas Meier & Hannes Wallimann, 2021, "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Papers, arXiv.org, number 2105.01426, May, revised Jun 2022.
- Gorodnichenko, Yuriy & Maliar, Serguei & Naubert, Christopher, 2020, "Household Savings and Monetary Policy under Individual and Aggregate Stochastic Volatility," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15614, Dec.
- Gambacorta, Leonardo & Amstad, Marlene & He, Chao & XIA, Fan Dora, 2021, "Trade sentiment and the stock market: new evidence based on big data textual analysis of Chinese media," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15682, Jan.
- Marcellino, Massimiliano & Stevanovic, Dalibor & Goulet Coulombe, Philippe, 2021, "Can Machine Learning Catch the COVID-19 Recession?," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15867, Mar.
- Qingfeng Liu & Yang Feng, 2021, "Machine Collaboration," Papers, arXiv.org, number 2105.02569, May, revised Feb 2024.
- Korinek, Anton & Stiglitz, Joseph, 2021, "Artificial Intelligence, Globalization, and Strategies for Economic Development," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15772, Feb.
- Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021, "Optimal Targeting in Fundraising: A Machine-Learning Approach," Economics working papers, Department of Economics, Johannes Kepler University Linz, Austria, number 2021-08, Apr.
- Qiutong Guo & Shun Lei & Qing Ye & Zhiyang Fang, 2021, "MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price," Papers, arXiv.org, number 2105.00707, May.
- Wunsch, Conny & Strittmatter, Anthony, 2021, "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15840, Feb.
- Nekoei, Arash & Sinn, Fabian, 2021, "Human Biographical Record (HBR)," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15825, Feb.
- Alessio Brini & Daniele Tantari, 2021, "Deep Reinforcement Trading with Predictable Returns," Papers, arXiv.org, number 2104.14683, Apr, revised May 2023.
- Heinrich, Torsten, 2021, "Epidemics in modern economies," MPRA Paper, University Library of Munich, Germany, number 107578, Apr.
- Abrell, Jan & Kosch, Mirjam & Rausch, Sebastian, 2021, "How effective is carbon pricing? A machine learning approach to policy evaluation," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 21-039.
- Fershtman, Chaim & Asker, John & Pakes, Ariel, 2021, "Artificial intelligence and Pricing: The Impact of Algorithm Design," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15880, Mar.