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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 (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:
- Walther, Ansgar & Uettwiller, Antoine, 2019, "The Market for Data Privacy," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13588, Mar.
- Hollenbeck, Brett & Taylor, Wayne, 2019, "Leveraging Loyalty Programs Using Competitor Based Targeting," MPRA Paper, University Library of Munich, Germany, number 92900.
- João E. Gata, 2019, "Controlling Algorithmic Collusion: short review of the literature, undecidability, and alternative approaches," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2019/77, Mar.
- Zura Kakushadze & Willie Yu, 2019, "Machine Learning Risk Models," Papers, arXiv.org, number 1903.06334, Mar, revised Apr 2019.
- Dat Thanh Tran & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2019, "Data-driven Neural Architecture Learning For Financial Time-series Forecasting," Papers, arXiv.org, number 1903.06751, Mar.
- 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, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge, number EPRG 1824, Aug.
- Oecd, 2019, "BBVA big data on online credit card transactions: The patterns of domestic and cross-border e-commerce," OECD Digital Economy Papers, OECD Publishing, number 278, Mar, DOI: 10.1787/8c408f92-en.
- Alicia Garcia-Herrero & Jianwei Xu, 2019, "Countries' perceptions of China's Belt and Road initiative: A big data analysis," HKUST IEMS Working Paper Series, HKUST Institute for Emerging Market Studies, number 2019-59, Mar.
- Sang Il Lee & Seong Joon Yoo, 2019, "Multimodal Deep Learning for Finance: Integrating and Forecasting International Stock Markets," Papers, arXiv.org, number 1903.06478, Mar, revised Sep 2019.
- Weilong Fu & Ali Hirsa, 2019, "A fast method for pricing American options under the variance gamma model," Papers, arXiv.org, number 1903.07519, Mar.
- Yue Qiu & Tian Xie & Jun Yu & Qiankun Zhou, 2019, "Forecasting Equity Index Volatility by Measuring the Linkage among Component Stocks," Economics and Statistics Working Papers, Singapore Management University, School of Economics, number 7-2019, Mar.
- Naguib, Costanza, 2019, "Estimating the Heterogeneous Impact of the Free Movement of Persons on Relative Wage Mobility," Economics Working Paper Series, University of St. Gallen, School of Economics and Political Science, number 1903, Feb.
- Jacqueline CK Lam & Lawrence YL Cheung & Y. Han & SS Wang, 2018, "China's Response to Nuclear Safety Post-Fukushima: Genuine or Rhetoric?," Working Papers, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge, number EPRG 1834, Nov.
- Mazzoni, Davide, , "Digitalization for Energy Access in Sub-Saharan Africa : Challenges, Opportunities and Potential Business Models," FEP: Future Energy Program, Fondazione Eni Enrico Mattei (FEEM) > FEP: Future Energy Program, number 285024, DOI: 10.22004/ag.econ.285024.
- Davide Mazzoni, 2019, "Digitalization for Energy Access in Sub-Saharan Africa : Challenges, Opportunities and Potential Business Models," Working Papers, Fondazione Eni Enrico Mattei, number 2019.02, Mar.
- Matteo Mogliani & Anna Simoni, 2019, "Bayesian MIDAS Penalized Regressions: Estimation, Selection, and Prediction," Papers, arXiv.org, number 1903.08025, Mar, 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, National Bureau of Economic Research, Inc, number 25657, Mar.
- Julieta Lugo-Gil & Dana Jean-Baptiste & Livia Frasso Jaramillo, , "Use of Evidence to Drive Decision-Making in Government," Mathematica Policy Research Reports, Mathematica Policy Research, number b84e939e19cf4e058572a738a.