Report NEP-BIG-2018-11-19

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:

• Guber, Raphael, 2018. "Instrument Validity Tests with Causal Trees: With an Application to the Same-sex Instrument," MEA discussion paper series 201805, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
• Arthur le Calvez & Dave Cliff, 2018. "Deep Learning can Replicate Adaptive Traders in a Limit-Order-Book Financial Market," Papers 1811.02880, arXiv.org.
• Ellie Birbeck & Dave Cliff, 2018. "Using Stock Prices as Ground Truth in Sentiment Analysis to Generate Profitable Trading Signals," Papers 1811.02886, arXiv.org.
• Francis X. Diebold & Minchul Shin, 2018. "Machine Learning for Regularized Survey Forecast Combination: Partially Egalitarian Lasso and its Derivatives," PIER Working Paper Archive 18-014, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 17 Aug 2018.
• Ruolan Wang & José Reis-Jorge & Lucilla Crosta & Anthony Edwards & Mageswary Mudaliar, 2018. "The use of social media and artificial intelligence tools by online doctoral students at the thesis stage," Proceedings of Teaching and Education Conferences 8010380, International Institute of Social and Economic Sciences.
• Marvin Aron Kennis, 2018. "Multi-channel discourse as an indicator for Bitcoin price and volume movements," Papers 1811.03146, arXiv.org.
• Tetsuya Kamijo, 2018. "Mainstreaming Biodiversity in Development Cooperation Projects through the Application of Mitigation Hierarchy and Green Infrastructure Approaches," Working Papers 177, JICA Research Institute.
• Henri Isaac, 2018. "La donnée, une marchandise comme les autres ?," Post-Print hal-01819635, HAL.