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Report NEP-BIG-2017-08-27
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:
- Joshua Angrist & Pierre Azoulay & Glenn Ellison & Ryan Hill & Susan Feng Lu, 2017, "Inside Job or Deep Impact? Using Extramural Citations to Assess Economic Scholarship," NBER Working Papers, National Bureau of Economic Research, Inc, number 23698, Aug.
- Christoph Aymanns & Jakob Foerster & Co-Pierre Georg & Matthias Weber, 2017, "Fake News in Social Networks," Papers, arXiv.org, number 1708.06233, Aug, revised Oct 2025.
- Lechner, Michael & Strittmatter, Anthony & Knaus, Michael C., 2017, "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 12224, Aug.
- Haskamp, Ulrich, 2017, "Improving the forecasts of European regional banks' profitability with machine learning algorithms," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 705, DOI: 10.4419/86788819.
- Jesus Lago & Fjo De Ridder & Peter Vrancx & Bart De Schutter, 2017, "Forecasting day-ahead electricity prices in Europe: the importance of considering market integration," Papers, arXiv.org, number 1708.07061, Aug, revised Dec 2017.
- Grzegorz Marcjasz & Bartosz Uniejewski & Rafal Weron, 2017, "Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models," HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number HSC/17/03, Jul.
- Windmeijer, F.; Farbmacher, H.; Davies, N.; Davey Smith, G.;, 2017, "On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments," Health, Econometrics and Data Group (HEDG) Working Papers, HEDG, c/o Department of Economics, University of York, number 17/22, Aug.
- Justin Sirignano & Konstantinos Spiliopoulos, 2017, "DGM: A deep learning algorithm for solving partial differential equations," Papers, arXiv.org, number 1708.07469, Aug, revised Sep 2018.
- Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2017, "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," Economics Working Paper Series, University of St. Gallen, School of Economics and Political Science, number 1711, Aug.
- Aparna Keshaviah & Editor, , "Special Report: The Potential of Wastewater Testing for Public Health and Safety," Mathematica Policy Research Reports, Mathematica Policy Research, number 5a867fbc382040a1af74f957b.