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Report NEP-BIG-2020-12-14
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:
- Item repec:spo:wpmain:info:hdl:2441/7n49nkmngd8448a5ts5gt5ade0 is not listed on IDEAS anymore
- Nicolas Woloszko, 2020, "Tracking activity in real time with Google Trends," OECD Economics Department Working Papers, OECD Publishing, number 1634, Dec, DOI: 10.1787/6b9c7518-en.
- Tamer Boyaci, & Caner Canyakmaz, & Francis de Véricourt,, 2020, "Human and machine: The impact of machine input on decision-making under cognitive limitations," ESMT Research Working Papers, ESMT European School of Management and Technology, number ESMT-20-02, Nov.
- Michael Allan Ribers & Hannes Ullrich, 2020, "Machine Predictions and Human Decisions with Variation in Payoffs and Skill," CESifo Working Paper Series, CESifo, number 8702.
- Michael Allan Ribers & Hannes Ullrich, 2020, "Machine Predictions and Human Decisions with Variation in Payoffs and Skill," Papers, arXiv.org, number 2011.11017, Nov.
- Kitova, Olga & Dyakonova, Ludmila & Savinova, Victoria, 2020, "Prediction of Socio-Economic Indicators of the Megapolis Development on the Basis of the Intellectual Forecasting Information System “SHM Horizon”," MPRA Paper, University Library of Munich, Germany, number 104234, Jul, revised 19 Nov 2020.
- Dario Sansone & Anna Zhu, 2020, "Using Machine Learning to Create an Early Warning System for Welfare Recipients," Papers, arXiv.org, number 2011.12057, Nov, revised May 2021.
- Cerqua, Augusto & Letta, Marco, 2020, "Local economies amidst the COVID-19 crisis in Italy: a tale of diverging trajectories," MPRA Paper, University Library of Munich, Germany, number 104404, Nov.
- Srijan Sood & Zhen Zeng & Naftali Cohen & Tucker Balch & Manuela Veloso, 2020, "Visual Time Series Forecasting: An Image-driven Approach," Papers, arXiv.org, number 2011.09052, Nov, revised Nov 2021.
- Sriubaite, I. & Harris, A. & Jones, A.M. & Gabbe, B., 2020, "Economic Consequences of Road Traffic Injuries. Application of the Super Learner algorithm," Health, Econometrics and Data Group (HEDG) Working Papers, HEDG, c/o Department of Economics, University of York, number 20/20, Nov.
- Katleho Makatjane & Roscoe van Wyk, 2020, "Identifying structural changes in the exchange rates of South Africa as a regime-switching process," WIDER Working Paper Series, World Institute for Development Economic Research (UNU-WIDER), number wp-2020-162.
- Balaji, S. J. & Babu, Suresh Chandra & Pal, Suresh, 2020, "Research-policy linkages: Empirical evidence from agroeconomic research in India," IFPRI discussion papers, International Food Policy Research Institute (IFPRI), number 1970.
- Marc Sabate-Vidales & David v{S}iv{s}ka & Lukasz Szpruch, 2020, "Solving path dependent PDEs with LSTM networks and path signatures," Papers, arXiv.org, number 2011.10630, Nov.
- Hamza Saad, 2020, "The Application of Data Mining in the Production Processes," Papers, arXiv.org, number 2011.12348, Nov.
- -, 2020, "Internet & Jurisdiction and ECLAC Regional Status Report 2020," Documentos de Proyectos, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 46421, Nov.
- Xiao-Yang Liu & Hongyang Yang & Qian Chen & Runjia Zhang & Liuqing Yang & Bowen Xiao & Christina Dan Wang, 2020, "FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance," Papers, arXiv.org, number 2011.09607, Nov, revised Mar 2022.
- Cevat Giray Aksoy & Panu Poutvaara & Felicitas Schikora, 2020, "First Time Around: Local Conditions and Multi-dimensional Integration of Refugees," RFBerlin Discussion Paper Series, ROCKWOOL Foundation Berlin (RFBerlin), number 2024, Dec.
- Timothy DeStefano & Nick Johnstone & Richard Kneller & Jonathan Timmis, 2020, "Capital incentives in the age of intangibles," Discussion Papers, University of Nottingham, GEP, number 2020-06.
- Yifan Yu & Shan Huang & Yuchen Liu & Yong Tan, 2020, "Emotions in Online Content Diffusion," Papers, arXiv.org, number 2011.09003, Nov, revised Mar 2022.
- Matthieu Stigler & David Lobell, 2020, "On the benefits of index insurance in US agriculture: a large-scale analysis using satellite data," Papers, arXiv.org, number 2011.12544, Nov, revised Nov 2021.
- Davillas, A. & Jones, A.M., 2020, "Unmet health care need and income-related horizontal equity in access during the COVID-19 pandemic," Health, Econometrics and Data Group (HEDG) Working Papers, HEDG, c/o Department of Economics, University of York, number 20/21, Dec.