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 issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Cornelia Hammer & Diane C Kostroch & Gabriel Quiros-Romero, 2017. "Big Data; Potential, Challenges and Statistical Implications," IMF Staff Discussion Notes 17/06, International Monetary Fund.
• Ksenia Yakovleva, 2017. "Text Mining-based Economic Activity Estimates," Bank of Russia Working Paper Series wps25, Bank of Russia.
• Bholat, David & Brookes, James & Cai, Chris & Grundy, Katy & Lund, Jakob, 2017. "Sending firm messages: text mining letters from PRA supervisors to banks and building societies they regulate," Bank of England working papers 688, Bank of England.
• 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 2017-107, Board of Governors of the Federal Reserve System (U.S.).
• 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) 1605, CEPREMAP.
• Neeraj Baruah & J. Vernon Henderson & Cong Peng, 2017. "Colonial Legacies: Shaping African Cities," SERC Discussion Papers 0226, Centre for Economic Performance, LSE.
• Anna Bruederle & Roland Hodler, 2017. "Nighttime Lights as a Proxy for Human Development at the Local Level," CESifo Working Paper Series 6555, CESifo.
• 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 17/26, HEDG, c/o Department of Economics, University of York.
• Elenchev, Ivelin & Vasilev, Aleksandar, 2017. "Forecasting the Success Rate of Reward Based Crowdfunding Projects," EconStor Preprints 170681, ZBW - Leibniz Information Centre for Economics.
• Athey, Susan & Tibshirani, Julie & Wager, Stefan, 2017. "Generalized Random Forests," Research Papers 3575, Stanford University, Graduate School of Business.
• Wager, Stefan & Athey, Susan, 2017. "Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests," Research Papers 3576, Stanford University, Graduate School of Business.
• Laura Palagi, 2017. "Global Optimization issues in Supervised Learning. An overview," DIAG Technical Reports 2017-11, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
• Ivelin Elenchev & Aleksandar Vasilev, 2017. "Forecasting the Success Rate of Reward Based Crowdfunding Projects," Bulgarian Economic Papers bep-2017-09, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, revised Nov 2017.