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Report NEP-BIG-2021-09-20
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:
- Steve J. Bickley & Ho Fai Chan & Benno Torgler, 2021, "Artificial Intelligence in the Field of Economics," CREMA Working Paper Series, Center for Research in Economics, Management and the Arts (CREMA), number 2021-28, Sep.
- Hélène Dernis & Laurent Moussiegt & Daisuke Nawa & Mariagrazia Squicciarini, 2021, "Who develops AI-related innovations, goods and services?: A firm-level analysis," OECD Science, Technology and Industry Policy Papers, OECD Publishing, number 121, Sep, DOI: 10.1787/3e4aedd4-en.
- Lea Samek & Mariagrazia Squicciarini & Emile Cammeraat, 2021, "The human capital behind AI: Jobs and skills demand from online job postings," OECD Science, Technology and Industry Policy Papers, OECD Publishing, number 120, Sep, DOI: 10.1787/2e278150-en.
- Nathan Ratledge & Gabe Cadamuro & Brandon de la Cuesta & Matthieu Stigler & Marshall Burke, 2021, "Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access," Papers, arXiv.org, number 2109.02890, Sep.
- J.Ignacio Conde-Ruiz & Juan-José Ganuza & Manu García & Luis A. Puch, 2021, "Gender Distribution across Topics in the Top 5 Economics Journals: A Machine Learning Approach," Documentos de Trabajo del ICAE, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, number 2021-09, Jun.
- Ebad F. Haghish, 2021, "Integrating R Machine Learning Algorithms in Stata using rcall: A Tutorial," London Stata Conference 2021, Stata Users Group, number 9, Sep.
- Otero Gomez, Daniel & MANRIQUE, MIGUEL ANGEL CORREA & Sierra, Omar Becerra & Laniado, Henry & Mateus C, Rafael & Millan, David Andres Romero, 2020, "Housing-Price Prediction in Colombia using Machine Learning," OSF Preprints, Center for Open Science, number w85z2, Sep, DOI: 10.31219/osf.io/w85z2.
- Otero Gomez, Daniel & Toro, Mauricio, 2021, "Solid Domestic Waste classification using Image Processing and Machine Learning," OSF Preprints, Center for Open Science, number yzcfk, Jun, DOI: 10.31219/osf.io/yzcfk.
- Marc S. Paolella, 2021, "Various Course Proposals for: Mathematics with a View Towards (the Theoretical Underpinnings of) Machine Learning," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 21-65, Sep.
- Hariharan, Naveen Kunnathuvalappil, 2021, "Investigating the determinants of successful budgeting with SVM and Binary models," OSF Preprints, Center for Open Science, number xf7ak, Sep, DOI: 10.31219/osf.io/xf7ak.
- Maiorova, Ksenia & Fokin, Nikita, 2020, "Наукастинг Темпов Роста Стоимостных Объемов Экспорта И Импорта По Товарным Группам
[Nowcasting the growth rates of the export and import by commodity groups]," MPRA Paper, University Library of Munich, Germany, number 109557, Jun. - Saeed Marzban & Erick Delage & Jonathan Yumeng Li & Jeremie Desgagne-Bouchard & Carl Dussault, 2021, "WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio Management," Papers, arXiv.org, number 2109.07005, Sep, revised Sep 2021.
- Falch, Morten, 2021, "Surveillance capitalism – a new techno-economic paradigm?," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world, International Telecommunications Society (ITS), number 238019.
- Saito, Nagayuki, 2021, "Study on the Requirements for AI Development and Operation Ethics Centered on Children," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world, International Telecommunications Society (ITS), number 238051.
- Jiamin Yu, 2021, "Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling," Papers, arXiv.org, number 2109.07211, Sep.
- Weisser, Christoph & Lenel, Friederike & Lu, Yao & Kis-Katos, Krisztina & Kneib, Thomas, 2021, "Using solar panels for business purposes: Evidence based on high-frequency power usage data," University of Göttingen Working Papers in Economics, University of Goettingen, Department of Economics, number 428.
- Oliver Hümbelin & Lukas Hobi & Robert Fluder, 2021, "Rich Cities, Poor Countryside? Social Structure of the Poor and Poverty Risks in Urban and Rural Places in an Affluent Country. An Administrative Data based Analysis using Random Forest," University of Bern Social Sciences Working Papers, University of Bern, Department of Social Sciences, number 40, Sep, revised 10 Nov 2021.
- Cao, Shurui, 2021, "A Sentiment Analysis Model of a Civil Service Performance Evaluation Using a Feminist Framework," SocArXiv, Center for Open Science, number 8jgnm, Sep, DOI: 10.31219/osf.io/8jgnm.
- David Bounie & Antoine Dubus & Patrick Waelbroeck, 2023, "Competition Between Strategic Data Intermediaries with Implications for Merger Policy," Working Papers, HAL, number hal-03336520, Apr.