Report NEP-CMP-2021-11-29

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:

• Kandula, Shanthan & Krishnamoorthy, Srikumar & Roy, Debjit, 2021. "Learning to Play the Box-Sizing Game: A Machine Learning Approach for Solving the E-commerce Packaging Problem," IIMA Working Papers WP 2021-11-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
• Ananda Chatterjee & Hrisav Bhowmick & Jaydip Sen, 2021. "Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models," Papers 2111.01137, arXiv.org.
• Narayanan, Sridhar & Kalyanam, Kirthi, 2020. "Behavioral Targeting, Machine Learning and Regression Discontinuity Designs," Research Papers 3925, Stanford University, Graduate School of Business.
• Hu, Junjie & López Cabrera, Brenda & Melzer, Awdesch, 2021. "Advanced statistical learning on short term load process forecasting," IRTG 1792 Discussion Papers 2021-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Vito Polito & Yunyi Zhang, 2021. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series 9395, CESifo.
• Isaac K. Ofori & Christopher Quaidoo & Pamela E. Ofori, 2021. "What Drives Financial Sector Development in Africa? Insights from Machine Learning," Working Papers 21/074, European Xtramile Centre of African Studies (EXCAS).
• Jean-Charles Bricongne & Baptiste Meunier & Thomas Pical, 2021. "Can satellite data on air pollution predict industrial production?," Working papers 847, Banque de France.
• Tobias Schultheiss & Uschi Backes-Gellner, 2021. "Different degrees of skill obsolescence across hard and soft skills and the role of lifelong learning for labor market outcomes," Economics of Education Working Paper Series 0188, University of Zurich, Department of Business Administration (IBW), revised Sep 2022.
• David Karpa & Torben Klarl & Michael Rochlitz, 2021. "Artificial Intelligence, Surveillance, and Big Data," Papers 2111.00992, arXiv.org.
• Nhan Huynh & Mike Ludkovski, 2021. "Joint Models for Cause-of-Death Mortality in Multiple Populations," Papers 2111.06631, arXiv.org.
• Asier Guti'errez-Fandi~no & Miquel Noguer i Alonso & Petter Kolm & Jordi Armengol-Estap'e, 2021. "FinEAS: Financial Embedding Analysis of Sentiment," Papers 2111.00526, arXiv.org, revised Nov 2021.
• Pallavi Basu & Luella Fu & Alessio Saretto & Wenguang Sun, 2021. "Empirical Bayes Control of the False Discovery Exceedance," Working Papers 2115, Federal Reserve Bank of Dallas.
• Francisco Estrada & Oscar Calder'on-Bustamante & Wouter Botzen & Juli'an A. Velasco & Richard S. J. Tol, 2021. "AIRCC-Clim: a user-friendly tool for generating regional probabilistic climate change scenarios and risk measures," Papers 2111.01762, arXiv.org.
• Angela E. Kilby & Charlie Denhart, 2021. "Location inference on social media data for agile monitoring of public health crises: An application to opioid use and abuse during the Covid-19 pandemic," Papers 2111.01778, arXiv.org.
• Luo, Danqi & Bayati, Mohsen & Plambeck, Erica L. & Aratow, Michael, 2021. "Low-Acuity Patients Delay High-Acuity Patients in EDs," Research Papers 3281, Stanford University, Graduate School of Business.