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Report NEP-BIG-2017-11-12
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:
- Item repec:imf:imfsdn:17/06 is not listed on IDEAS anymore
- Ksenia Yakovleva, 2017, "Text Mining-based Economic Activity Estimates," Bank of Russia Working Paper Series, Bank of Russia, number wps25, Oct.
- David Bholat & James Brookes & Chris Cai & Katy Grundy & Jakob Lund, 2017, "Sending firm messages: text mining letters from PRA supervisors to banks and building societies they regulate," Bank of England working papers, Bank of England, number 688, Oct.
- Christopher A. Hollrah & Steven A. Sharpe & Nitish R. Sinha, 2017, "What's the Story? A New Perspective on the Value of Economic Forecasts," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2017-107, Nov, DOI: 10.17016/FEDS.2017.107r1.
- Algan, Yann & Beasley, Elizabeth & Guyot, Florian & Higa, Kazuhito & Murtin, Fabrice & Senik, Claudia, 2016, "Big Data Measures of Well-Being: Evidence from a Google Well-Being Index in the United States," CEPREMAP Working Papers (Docweb), CEPREMAP, number 1605, Jun.
- Neeraj Baruah & J. Vernon Henderson & Cong Peng, 2017, "Colonial Legacies: Shaping African Cities," SERC Discussion Papers, Centre for Economic Performance, LSE, number 0226, Nov.
- Anna Bruederle & Roland Hodler, 2017, "Nighttime Lights as a Proxy for Human Development at the Local Level," CESifo Working Paper Series, CESifo, number 6555.
- Bertoli, P.; Grembi, V.; Kazakis, P.;, 2017, "Healthy Immigrant Effect or Over-Medicalization of Pregnancy? Evidence from Birth Certificates," Health, Econometrics and Data Group (HEDG) Working Papers, HEDG, c/o Department of Economics, University of York, number 17/26, Nov.
- Elenchev, Ivelin & Vasilev, Aleksandar, 2017, "Forecasting the Success Rate of Reward Based Crowdfunding Projects," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 170681.
- Athey, Susan & Tibshirani, Julie & Wager, Stefan, 2017, "Generalized Random Forests," Research Papers, Stanford University, Graduate School of Business, number 3575, Jul.
- Wager, Stefan & Athey, Susan, 2017, "Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests," Research Papers, Stanford University, Graduate School of Business, number 3576, Jul.
- Laura Palagi, 2017, "Global Optimization issues in Supervised Learning. An overview," DIAG Technical Reports, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza", number 2017-11.
- Ivelin Elenchev & Aleksandar Vasilev, 2017, "Forecasting the Success Rate of Reward Based Crowdfunding Projects," Bulgarian Economic Papers, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, number bep-2017-09, Nov, revised Nov 2017.