Report NEP-BIG-2019-03-25

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:

• Walther, Ansgar & Uettwiller, Antoine, 2019. "The Market for Data Privacy," CEPR Discussion Papers 13588, C.E.P.R. Discussion Papers.
• Hollenbeck, Brett & Taylor, Wayne, 2019. "Leveraging Loyalty Programs Using Competitor Based Targeting," MPRA Paper 92900, University Library of Munich, Germany.
• João E. Gata, 2019. "Controlling Algorithmic Collusion: short review of the literature, undecidability, and alternative approaches," Working Papers REM 2019/77, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Zura Kakushadze & Willie Yu, 2019. "Machine Learning Risk Models," Papers 1903.06334, arXiv.org, revised Apr 2019.
• Dat Thanh Tran & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2019. "Data-driven Neural Architecture Learning For Financial Time-series Forecasting," Papers 1903.06751, arXiv.org.
• Peiyang Guo & Jacqueline CK Lam & Victor OK Li, 2018. "A novel machine learning approach for identifying the drivers of domestic electricity users' price responsiveness," Working Papers EPRG 1824, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
• Oecd, 2019. "BBVA big data on online credit card transactions: The patterns of domestic and cross-border e-commerce," OECD Digital Economy Papers 278, OECD Publishing.
• Alicia Garcia-Herrero & Jianwei Xu, 2019. "Countries' perceptions of China's Belt and Road initiative: A big data analysis," HKUST IEMS Working Paper Series 2019-59, HKUST Institute for Emerging Market Studies.
• Sang Il Lee & Seong Joon Yoo, 2019. "Multimodal Deep Learning for Finance: Integrating and Forecasting International Stock Markets," Papers 1903.06478, arXiv.org, revised Sep 2019.
• Weilong Fu & Ali Hirsa, 2019. "A fast method for pricing American options under the variance gamma model," Papers 1903.07519, arXiv.org.
• Qiu, Yue & Xie, Tian & Yu, Jun & Zhou, Qiankun, 2019. "Forecasting Equity Index Volatility by Measuring the Linkage among Component Stocks," Economics and Statistics Working Papers 7-2019, Singapore Management University, School of Economics.
• Naguib, Costanza, 2019. "Estimating the Heterogeneous Impact of the Free Movement of Persons on Relative Wage Mobility," Economics Working Paper Series 1903, University of St. Gallen, School of Economics and Political Science.
• Jacqueline CK Lam & Lawrence YL Cheung & Y. Han & SS Wang, 2018. "China's Response to Nuclear Safety Post-Fukushima: Genuine or Rhetoric?," Working Papers EPRG 1834, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
• Mazzoni, Davide, 2019. "Digitalization for Energy Access in Sub-Saharan Africa : Challenges, Opportunities and Potential Business Models," FEP: Future Energy Program 285024, Fondazione Eni Enrico Mattei (FEEM) > FEP: Future Energy Program.
• Davide Mazzoni, 2019. "Digitalization for Energy Access in Sub-Saharan Africa : Challenges, Opportunities and Potential Business Models," Working Papers 2019.02, Fondazione Eni Enrico Mattei.
• Matteo Mogliani & Anna Simoni, 2019. "Bayesian MIDAS Penalized Regressions: Estimation, Selection, and Prediction," Papers 1903.08025, arXiv.org, revised Jun 2020.
• Sarah Tahamont & Zubin Jelveh & Aaron Chalfin & Shi Yan & Benjamin Hansen, 2019. "Administrative Data Linking and Statistical Power Problems in Randomized Experiments," NBER Working Papers 25657, National Bureau of Economic Research, Inc.
• Julieta Lugo-Gil & Dana Jean-Baptiste & Livia Frasso Jaramillo, "undated". "Use of Evidence to Drive Decision-Making in Government," Mathematica Policy Research Reports b84e939e19cf4e058572a738a, Mathematica Policy Research.