Report NEP-BIG-2021-09-27

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Dylan Brewer & Alyssa Carlson, 2021. "Addressing Sample Selection Bias for Machine Learning Methods," Working Papers 2114, Department of Economics, University of Missouri.
• Alexander Jaax & Frédéric Gonzales & Annabelle Mourougane, 2021. "Nowcasting aggregate services trade," OECD Trade Policy Papers 253, OECD Publishing.
• 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.
• Jean-Charles Bricongne & Baptiste Meunier & Sylvain Pouget, 2021. "Web Scraping Housing Prices in Real-time: the Covid-19 Crisis in the UK," Working papers 827, Banque de France.
• 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.
• 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).
• Lin Li, 2021. "Financial Trading with Feature Preprocessing and Recurrent Reinforcement Learning," Papers 2109.05283, arXiv.org.
• 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.
• Jascha Buchhorn & Berthold U. Wigger, 2021. "Predicting Student Dropout: A Replication Study Based on Neural Networks," CESifo Working Paper Series 9300, CESifo.
• Pedro Salas-Rojo & Juan Gabriel Rodr guez, 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.
• Solveig Flaig & Gero Junike, 2021. "Scenario generation for market risk models using generative neural networks," Papers 2109.10072, arXiv.org, revised Aug 2023.
• HOCUK Seyit & KUMAR Pradeep & MULDER Joris & PRUFER Patricia, 2021. "Economies of scope in the aggregation of health-related data," JRC Working Papers on Digital Economy 2021-01, Joint Research Centre.
• 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.
• Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
• Daron Acemoglu, 2021. "Harms of AI," NBER Working Papers 29247, National Bureau of Economic Research, Inc.
• Blagov, Boris & Müller, Henrik & Jentsch, Carsten & Schmidt, Torsten, 2021. "The investment narrative: Improving private investment forecasts with media data," Ruhr Economic Papers 921, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
• Greyling, Talita & Rossouw, Stephanié, 2021. "Anger, fear and everything else: attitudes towards the COVID-19 vaccines," GLO Discussion Paper Series 939, Global Labor Organization (GLO).
• Federico Maria Ferrara & Jörg S Haas & Andrew Peterson & Thomas Sattler, 2022. "Exports vs. Investment: How Public Discourse Shapes Support for External Imbalances," Post-Print hal-02569351, HAL.
• Stijn Claessens & Ricardo Correa & Juan M. Londono, 2021. "Financial Stability Governance and Central Bank Communications," International Finance Discussion Papers 1328, Board of Governors of the Federal Reserve System (U.S.).
• Jentsch, Carsten & Mammen, Enno & Müller, Henrik & Rieger, Jonas & Schötz, Christof, 2021. "Text mining methods for measuring the coherence of party manifestos for the German federal elections from 1990 to 2021," DoCMA Working Papers 8, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA).