Report NEP-BIG-2018-07-16

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:

• Peter Tillmann & Andreas Walter, 2018. "ECB vs Bundesbank: Diverging Tones and Policy Effectiveness," MAGKS Papers on Economics 201820, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
• Jos'e Igor Morlanes, 2018. "Non-linear Time Series and Artificial Neural Networks of Red Hat Volatility," Papers 1806.01070, arXiv.org.
• Papaioannou, Elias & Chiovelli, Giorgio & Michalopoulos, Stelios, 2018. "Landmines and Spatial Development," CEPR Discussion Papers 13021, C.E.P.R. Discussion Papers.
• Carlos Pedro Gonc{c}alves, 2018. "Financial Risk and Returns Prediction with Modular Networked Learning," Papers 1806.05876, arXiv.org.
• Nariyasu YAMAZAWA, 2018. "Analyzing Business Conditions by Quantitative Text Analysis–Time Series Analysis Using Appearance Rate and Principal Component," ESRI Discussion paper series 345, Economic and Social Research Institute (ESRI).
• Greg Kirczenow & Ali Fathi & Matt Davison, 2018. "Machine Learning for Yield Curve Feature Extraction: Application to Illiquid Corporate Bonds (Preliminary Draft)," Papers 1806.01731, arXiv.org.
• Akash Malhotra, 2018. "A hybrid econometric-machine learning approach for relative importance analysis: Prioritizing food policy," Papers 1806.04517, arXiv.org, revised Aug 2020.
• Gary Koop & Stuart McIntyre & James Mitchell, 2018. "UK Regional Nowcasting using a Mixed Frequency Vector Autoregressive Model," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-07, Economic Statistics Centre of Excellence (ESCoE).
• Miruna Oprescu & Vasilis Syrgkanis & Zhiwei Steven Wu, 2018. "Orthogonal Random Forest for Causal Inference," Papers 1806.03467, arXiv.org, revised Sep 2019.
• Guilhem Fabre, 2018. "China's digital transformation. Why is artificial intelligence a priority for chinese R&D? [La transformation numérique de la Chine : pourquoi l'intelligence artificielle est-elle devenue une prior," Working Papers halshs-01818508, HAL.
• Zhan Gao & Zhentao Shi, 2018. "Implementing Convex Optimization in R: Two Econometric Examples," Papers 1806.10423, arXiv.org, revised Aug 2019.
• Tadas Limba & Aurimas Šidlauskas, 2018. "Secure personal data administration in the social networks: the case of voluntary sharing of personal data on the Facebook," Post-Print hal-01773973, HAL.
• Ash, Elliott & Chen, Daniel L., 2018. "Mapping the Geometry of Law using Document Embeddings," IAST Working Papers 18-77, Institute for Advanced Study in Toulouse (IAST).
• Ash, Elliott & Chen, Daniel L., 2018. "Mapping the Geometry of Law using Document Embeddings," TSE Working Papers 18-935, Toulouse School of Economics (TSE).
• Benjamin W. Pugsley & Peter Sedlacek & Vincent Sterk, 2018. "The Nature of Firm Growth," Working Papers 18-30, Center for Economic Studies, U.S. Census Bureau.