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 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 1634, OECD Publishing.
- 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-20-02, ESMT European School of Management and Technology.
- Michael Allan Ribers & Hannes Ullrich, 2020. "Machine Predictions and Human Decisions with Variation in Payoffs and Skill," CESifo Working Paper Series 8702, CESifo.
- Michael Allan Ribers & Hannes Ullrich, 2020. "Machine Predictions and Human Decisions with Variation in Payoffs and Skill," Papers 2011.11017, arXiv.org.
- 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 104234, University Library of Munich, Germany, revised 19 Nov 2020.
- Dario Sansone & Anna Zhu, 2020. "Using Machine Learning to Create an Early Warning System for Welfare Recipients," Papers 2011.12057, arXiv.org, revised May 2021.
- Cerqua, Augusto & Letta, Marco, 2020. "Local economies amidst the COVID-19 crisis in Italy: a tale of diverging trajectories," MPRA Paper 104404, University Library of Munich, Germany.
- Srijan Sood & Zhen Zeng & Naftali Cohen & Tucker Balch & Manuela Veloso, 2020. "Visual Time Series Forecasting: An Image-driven Approach," Papers 2011.09052, arXiv.org, 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 20/20, HEDG, c/o Department of Economics, University of York.
- 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 wp-2020-162, World Institute for Development Economic Research (UNU-WIDER).
- Balaji, S. J. & Babu, Suresh Chandra & Pal, Suresh, 2020. "Research-policy linkages: Empirical evidence from agroeconomic research in India," IFPRI discussion papers 1970, International Food Policy Research Institute (IFPRI).
- Marc Sabate-Vidales & David v{S}iv{s}ka & Lukasz Szpruch, 2020. "Solving path dependent PDEs with LSTM networks and path signatures," Papers 2011.10630, arXiv.org.
- Hamza Saad, 2020. "The Application of Data Mining in the Production Processes," Papers 2011.12348, arXiv.org.
- -, 2020. "Internet & Jurisdiction and ECLAC Regional Status Report 2020," Documentos de Proyectos 46421, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
- 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 2011.09607, arXiv.org, revised Mar 2022.
- Cevat Giray Aksoy & Panu Poutvaara & Felicitas Schikora, 2020. "First Time Around: Local Conditions and Multi-dimensional Integration of Refugees," RF Berlin - CReAM Discussion Paper Series 2024, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
- Timothy DeStefano & Nick Johnstone & Richard Kneller & Jonathan Timmis, 2020. "Capital incentives in the age of intangibles," Discussion Papers 2020-06, University of Nottingham, GEP.
- Yifan Yu & Shan Huang & Yuchen Liu & Yong Tan, 2020. "Emotions in Online Content Diffusion," Papers 2011.09003, arXiv.org, 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 2011.12544, arXiv.org, 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 20/21, HEDG, c/o Department of Economics, University of York.