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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 (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, Department of Economics, University of Missouri, number 2114, Sep.
- Alexander Jaax & Frédéric Gonzales & Annabelle Mourougane, 2021, "Nowcasting aggregate services trade," OECD Trade Policy Papers, OECD Publishing, number 253, Sep, DOI: 10.1787/0ad7d27c-en.
- 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, National Bureau of Economic Research, Inc, number 29237, Sep.
- Jean-Charles Bricongne & Baptiste Meunier & Sylvain Pouget, 2021, "Web Scraping Housing Prices in Real-time: the Covid-19 Crisis in the UK," Working papers, Banque de France, number 827.
- Rudiger Frey & Verena Kock, 2021, "Deep Neural Network Algorithms for Parabolic PIDEs and Applications in Insurance Mathematics," Papers, arXiv.org, number 2109.11403, Sep, 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, Research Africa Network (RAN), number 21/044, Jan.
- Lin Li, 2021, "Financial Trading with Feature Preprocessing and Recurrent Reinforcement Learning," Papers, arXiv.org, number 2109.05283, Sep.
- Jens Ludwig & Sendhil Mullainathan, 2021, "Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System," NBER Working Papers, National Bureau of Economic Research, Inc, number 29267, Sep.
- Jascha Buchhorn & Berthold U. Wigger, 2021, "Predicting Student Dropout: A Replication Study Based on Neural Networks," CESifo Working Paper Series, CESifo, number 9300.
- Pedro Salas-Rojo & Juan Gabriel Rodríguez, 2020, "Inheritances and Wealth Inequality: a Machine Learning Approach," LWS Working papers, LIS Cross-National Data Center in Luxembourg, number 32, Dec.
- Leogrande, Angelo & Costantiello, Alberto, 2021, "Human Resources in Europe. Estimation, Clusterization, Machine Learning and Prediction," MPRA Paper, University Library of Munich, Germany, number 109749, Sep.
- 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, arXiv.org, number 2109.10009, Sep.
- Solveig Flaig & Gero Junike, 2021, "Scenario generation for market risk models using generative neural networks," Papers, arXiv.org, number 2109.10072, Sep, 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, Joint Research Centre, number 2021-01, Sep.
- Pihnastyi, Oleh & Sytnikova, Anastasiya, 2021, "Construction of Control Systems of Flow Parameters of the Smart Conveyor using a Neural Network," MPRA Paper, University Library of Munich, Germany, number 109770, Sep, 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, Norges Bank, number 2020/17, Nov.
- Daron Acemoglu, 2021, "Harms of AI," NBER Working Papers, National Bureau of Economic Research, Inc, number 29247, Sep.
- Blagov, Boris & Müller, Henrik & Jentsch, Carsten & Schmidt, Torsten, 2021, "The investment narrative: Improving private investment forecasts with media data," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 921, DOI: 10.4419/96973067.
- Item repec:zbw:glodps:939 is not listed on IDEAS anymore
- 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, number hal-02569351, Oct, DOI: 10.1093/ser/mwab004.
- Stijn Claessens & Ricardo Correa & Juan M. Londono, 2021, "Financial Stability Governance and Central Bank Communications," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1328, Sep, DOI: 10.17016/IFDP.2021.1328.
- 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, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA), number 8, DOI: 10.17877/de290r-22363.