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Report NEP-BIG-2017-11-05
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:
- Susan Athey & Guido Imbens, 2016, "The State of Applied Econometrics - Causality and Policy Evaluation," Papers, arXiv.org, number 1607.00699, Jul.
- Guy Michaels & Dzhamilya Nigmatulina & Ferdinand Rauch & Tanner Regan & Neeraj Baruah & Amanda Dahlstrand-Rudin, 2017, "Planning Ahead for Better Neighborhoods: Long Run Evidence from Tanzania," CESifo Working Paper Series, CESifo, number 6680.
- Brian J. Asquith & Judith K. Hellerstein & Mark J. Kutzbach & David Neumark, 2017, "Social Capital and Labor Market Networks," NBER Working Papers, National Bureau of Economic Research, Inc, number 23959, Oct.
- Mitomo, Hitoshi, 2017, "Data Network Effects: Implications for Data Business," 28th European Regional ITS Conference, Passau 2017, International Telecommunications Society (ITS), number 169484.
- Qihua Qiu & Jaesang Sung & Will Davis & Rusty Tchernis, 2017, "Using Spatial Factor Analysis to Measure Human Development," NBER Working Papers, National Bureau of Economic Research, Inc, number 23952, Oct.
- Susan Athey & Julie Tibshirani & Stefan Wager, 2016, "Generalized Random Forests," Papers, arXiv.org, number 1610.01271, Oct, revised Apr 2018.
- Dominique Guegan & Bertrand Hassani, 2017, "Regulatory Learning: how to supervise machine learning models? An application to credit scoring," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 17034r, Jul, revised Sep 2017.
- Pedro G. Fonseca & Hugo D. Lopes, 2017, "Calibration of Machine Learning Classifiers for Probability of Default Modelling," Papers, arXiv.org, number 1710.08901, Oct.
- TOBBACK, Ellen & MARTENS, David, 2017, "Retail credit scoring using fine-grained payment data," Working Papers, University of Antwerp, Faculty of Business and Economics, number 2017011, Oct.