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Report NEP-BIG-2020-05-25
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:
- Dimitris Korobilis & Davide Pettenuzzo, 2020, "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers, Business School - Economics, University of Glasgow, number 2020_09, Apr.
- Budzinski, Oliver & Gruésevaja, Marina & Noskova, Victoriia, 2020, "The economics of the German investigation of Facebook's data collection," Ilmenau Economics Discussion Papers, Ilmenau University of Technology, Institute of Economics, number 139.
- Paola Tubaro & Antonio A. Casilli & Marion Coville, 2020, "The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence," Post-Print, HAL, number hal-02554196, Apr, DOI: 10.1177/2053951720919776.
- Wallimann, Hannes & Imhof, David & Huber, Martin, 2020, "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," FSES Working Papers, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland, number 513, Apr.
- Nicolaj N. Mühlbach, 2020, "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2020-04, May.
- Cockx, Bart & Lechner, Michael & Bollens, Joost, 2020, "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Research Memorandum, Maastricht University, Graduate School of Business and Economics (GSBE), number 015, May, DOI: 10.26481/umagsb.2020015.
- Cockx, Bart & Lechner, Michael & Bollens, Joost, 2020, "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," ROA Research Memorandum, Maastricht University, Research Centre for Education and the Labour Market (ROA), number 006, May, DOI: 10.26481/umaror.2020006.
- Farbmacher, Helmut & Huber, Martin & Langen, Henrika & Spindler, Martin, 2020, "Causal mediation analysis with double machine learning," FSES Working Papers, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland, number 515, May.
- Schmidt, Florian Alexander, 2019, "Crowdsourced production of AI Training Data: How human workers teach self-driving cars how to see," Working Paper Forschungsförderung, Hans-Böckler-Stiftung, Düsseldorf, number 155.
- Rub'en Loaiza-Maya & Michael Stanley Smith & David J. Nott & Peter J. Danaher, 2020, "Fast and Accurate Variational Inference for Models with Many Latent Variables," Papers, arXiv.org, number 2005.07430, May, revised Apr 2021.
- Kaiser, Oliver S. & Malanowski, Norbert, 2019, "Smart Data und Künstliche Intelligenz: Technologie, Arbeit, Akzeptanz," Working Paper Forschungsförderung, Hans-Böckler-Stiftung, Düsseldorf, number 136.
- Jorge Gallego & Mounu Prem & Juan F. Vargas, 2020, "Corruption in the times of Pandemia," Documentos de Trabajo, The Latin American and Caribbean Economic Association (LACEA), number 18164, May.
- John R. J. Thompson & Longlong Feng & R. Mark Reesor & Chuck Grace, 2020, "Know Your Clients' behaviours: a cluster analysis of financial transactions," Papers, arXiv.org, number 2005.03625, May, revised May 2020.
- Carlos Cantú & Gong Cheng & Sebastian Doerr & Jon Frost & Leonardo Gambacorta, 2020, "On health and privacy: technology to combat the pandemic," BIS Bulletins, Bank for International Settlements, number 17, May.
- Michele Costola & Matteo Iacopini & Carlo R. M. A. Santagiustina, 2020, "Public Concern and the Financial Markets during the COVID-19 outbreak," Papers, arXiv.org, number 2005.06796, May.
- Daniel Borup & Bent Jesper Christensen & Nicolaj N. Mühlbach & Mikkel S. Nielsen, 2020, "Targeting predictors in random forest regression," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2020-03, May.
- Milena Djourelova, 2020, "Media persuasion through slanted language: Evidence from the coverage of immigration," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1720, May.
- Thonipara, Anita & Sternberg, Rolf G. & Proeger, Till & Haefner, Lukas, 2020, "Assessing the Digital Divide and its Regional Determinants: Evidence from a Web-Scraping Analysis," ifh Working Papers, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh), number 25/2020, revised 2020.