Report NEP-CMP-2021-09-27

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:

• Rudiger Frey & Verena Kock, 2021. "Deep Neural Network Algorithms for Parabolic PIDEs and Applications in Insurance Mathematics," Papers 2109.11403, arXiv.org, revised Sep 2021.
• Dylan Brewer & Alyssa Carlson, 2021. "Addressing Sample Selection Bias for Machine Learning Methods," Working Papers 2114, Department of Economics, University of Missouri.
• Jascha Buchhorn & Berthold U. Wigger, 2021. "Predicting Student Dropout: A Replication Study Based on Neural Networks," CESifo Working Paper Series 9300, CESifo.
• Lin Li, 2021. "Financial Trading with Feature Preprocessing and Recurrent Reinforcement Learning," Papers 2109.05283, arXiv.org.
• Isaac K. Ofori, 2021. "Catching the Drivers of Inclusive Growth in Sub-Saharan Africa: An Application of Machine Learning," Research Africa Network Working Papers 21/044, Research Africa Network (RAN).
• Alexander Jaax & Frédéric Gonzales & Annabelle Mourougane, 2021. "Nowcasting aggregate services trade," OECD Trade Policy Papers 253, OECD Publishing.
• Pihnastyi, Oleh & Sytnikova, Anastasiya, 2021. "Construction of Control Systems of Flow Parameters of the Smart Conveyor using a Neural Network," MPRA Paper 109770, University Library of Munich, Germany, revised 03 Sep 2021.
• Jens Ludwig & Sendhil Mullainathan, 2021. "Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System," NBER Working Papers 29267, National Bureau of Economic Research, Inc.
• Solveig Flaig & Gero Junike, 2021. "Scenario generation for market risk models using generative neural networks," Papers 2109.10072, arXiv.org, revised Aug 2023.
• Nathan Ratledge & Gabriel Cadamuro & Brandon De la Cuesta & Matthieu Stigler & Marshall Burke, 2021. "Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access," NBER Working Papers 29237, National Bureau of Economic Research, Inc.
• Pedro Salas-Rojo & Juan Gabriel Rodríguez, 2020. "Inheritances and Wealth Inequality: a Machine Learning Approach," LWS Working papers 32, LIS Cross-National Data Center in Luxembourg.
• Leogrande, Angelo & Costantiello, Alberto, 2021. "Human Resources in Europe. Estimation, Clusterization, Machine Learning and Prediction," MPRA Paper 109749, University Library of Munich, Germany.
• Lin William Cong & Ke Tang & Bing Wang & Jingyuan Wang, 2021. "An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States," Papers 2109.10009, arXiv.org.