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Report NEP-BIG-2020-06-22
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:
- Tian Xie & Jun Yu & Tao Zeng, 2020, "Econometric Methods and Data Science Techniques: A Review of Two Strands of Literature and an Introduction to Hybrid Methods," Economics and Statistics Working Papers, Singapore Management University, School of Economics, number 16-2020, May.
- Munisamy Gopinath & Feras A. Batarseh & Jayson Beckman, 2020, "Machine Learning in Gravity Models: An Application to Agricultural Trade," NBER Working Papers, National Bureau of Economic Research, Inc, number 27151, May.
- Xin Man & Ernest Chan, 2020, "The best way to select features?," Papers, arXiv.org, number 2005.12483, May.
- Giuseppe Bruno & Hiren Jani & Rafael Schmidt & Bruno Tissot, 2020, "Computing platforms for big data analytics and artificial intelligence," IFC Reports, Bank for International Settlements, number 11, Apr.
- Falco J. Bargagli-Dtoffi & Massimo Riccaboni & Armando Rungi, 2020, "Machine Learning for Zombie Hunting. Firms Failures and Financial Constraints," Working Papers, IMT School for Advanced Studies Lucca, number 01/2020, Jun, revised Jun 2020.
- Beatriz Salvador & Cornelis W. Oosterlee & Remco van der Meer, 2020, "Financial option valuation by unsupervised learning with artificial neural networks," Papers, arXiv.org, number 2005.12059, May.
- Jesús Fernández-Villaverde & Samuel Hurtado & Galo Nuño, 2020, "Financial frictions and the wealth distribution," Working Papers, Banco de España, number 2013, Jun.
- Oguzhan Cepni & Rangan Gupta & Yigit Onay, 2020, "The Role of Investor Sentiment in Forecasting Housing Returns in China: A Machine Learning Approach," Working Papers, University of Pretoria, Department of Economics, number 202055, Jun.
- Athey, Susan & Bryan, Kevin & Gans, Joshua S., 2020, "The Allocation of Decision Authority to Human and Artificial Intelligence," Research Papers, Stanford University, Graduate School of Business, number 3856, Jan.
- Imanol Perez Arribas & Cristopher Salvi & Lukasz Szpruch, 2020, "Sig-SDEs model for quantitative finance," Papers, arXiv.org, number 2006.00218, May, revised Jun 2020.
- Gabriel E. Kreindler & Yuhei Miyauchi, 2019, "Measuring Commuting and Economic Activity inside Cities with Cell Phone Records," Boston University - Department of Economics - Working Papers Series, Boston University - Department of Economics, number WP2020-006, Feb, revised Apr 2020.
- Riccardo Doyle, 2020, "Using Network Interbank Contagion in Bank Default Prediction," Papers, arXiv.org, number 2005.12619, May, revised May 2020.
- Grilli, Luca & Santoro, Domenico, 2020, "How Boltzmann Entropy Improves Prediction with LSTM," MPRA Paper, University Library of Munich, Germany, number 100578, May.
- PALETTA, FRANCISCO CARLOS & da Conceição, Rafael Sena, 2019, "BIG DATA e a Informação Pública na Tomada de Decisão," OSF Preprints, Center for Open Science, number 7nxwr, Apr, DOI: 10.31219/osf.io/7nxwr.
- Muhammad Farooq AHMAD & Oskar KOWALEWSKI, 2020, "Collective bargaining power and corporate cash policy," Working Papers, IESEG School of Management, number 2020-ACF-06, Jun.
- Dickinson, Jeffrey, 2020, "Planes, Trains, and Automobiles: Night-time Lights of the USA," MPRA Paper, University Library of Munich, Germany, number 100841.
- Calypso Herrera & Florian Krach & Josef Teichmann, 2020, "Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering," Papers, arXiv.org, number 2006.04727, Jun, revised Apr 2021.
- Lars Elend & Sebastian A. Tideman & Kerstin Lopatta & Oliver Kramer, 2020, "Earnings Prediction with Deep Learning," Papers, arXiv.org, number 2006.03132, Jun, revised Oct 2020.
- Hassan, Tarek & Hollander, Stephan & van Lent, Laurence & Schwedeler, Markus & Tahoun, Ahmed, 2020, "Firm-Level Exposure to Epidemic Diseases: Covid-19, SARS, and H1N1," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14573, Apr.
- Emaad Manzoor & George H. Chen & Dokyun Lee & Michael D. Smith, 2020, "Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online," Papers, arXiv.org, number 2006.00707, Jun.
- Mihalyi, David & Mate, Akos, 2019, "Text-mining IMF country reports - an original dataset," MPRA Paper, University Library of Munich, Germany, number 100656, Aug.