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Report NEP-BIG-2022-02-21
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:
- Thomas R. Cook & Zach Modig & Nathan M. Palmer, 2021, "Explaining Machine Learning by Bootstrapping Partial Marginal Effects and Shapley Values," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 21-12, Nov, revised 06 Aug 2024, DOI: 10.18651/RWP2021-12.
- Luke De Clerk & Sergey Savl'ev, 2022, "A machine learning search for optimal GARCH parameters," Papers, arXiv.org, number 2201.03286, Jan.
- Lafond, François & Farmer, J. Doyne & Mungo, Luca & Astudillo-Estévez, Pablo, 2022, "Reconstructing production networks using machine learning," INET Oxford Working Papers, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, number 2022-02, Jan, revised Jan 2023.
- Tannista Banerjee & Ayan Paul & Vishak Srikanth & Inga Strumke, 2022, "Socioeconomic disparities and COVID-19: the causal connections," Papers, arXiv.org, number 2201.07026, Jan.
- Ellsaesser, Florian & Fioretti, Guido, 2022, "Deciding Not To Decide," MPRA Paper, University Library of Munich, Germany, number 111546, Jan.
- Mayukh Mukhopadhyay & Sangeeta Sahney, 2022, "Effect of Toxic Review Content on Overall Product Sentiment," Papers, arXiv.org, number 2201.02857, Jan.
- Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2022, "Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement," Papers, arXiv.org, number 2201.07055, Jan, revised Oct 2022.
- Drydakis, Nick, 2022, "Artificial Intelligence and Reduced SMEs' Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1045.
- Jean-David Fermanian & Dominique Guegan, 2021, "Fair learning with bagging," Post-Print, HAL, number halshs-03500906, Nov.
- Narita, Yusuke & Yata, Kohei, 2022, "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Discussion Paper Series, Institute of Economic Research, Hitotsubashi University, number 730, Jan.
- Pramanik, Subhajit, 2021, "Exchange rate and Economic Growth - a comparative analysis of the possible relationship between them," MPRA Paper, University Library of Munich, Germany, number 111504, Apr, revised May 2021.
- Augustine Denteh & Helge Liebert, 2022, "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," Papers, arXiv.org, number 2201.07072, Jan, revised Apr 2023.