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Report NEP-BIG-2021-11-29
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:
- Yongquan Cao & Ms. Yingjie Fan & Sandile Hlatshwayo & Monica Petrescu & Zaijin Zhan, 2021, "A Sentiment-Enhanced Corruption Perception Index," IMF Working Papers, International Monetary Fund, number 2021/192, Jul.
- Nhan Huynh & Mike Ludkovski, 2021, "Joint Models for Cause-of-Death Mortality in Multiple Populations," Papers, arXiv.org, number 2111.06631, Nov.
- Vito Polito & Yunyi Zhang, 2021, "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series, CESifo, number 9395.
- Item repec:iim:iimawp:14665 is not listed on IDEAS anymore
- Julie Buhl-Wiggers & Jason T. Kerwin & Juan S. Muñoz-Morales & Jeffrey A. Smith & Rebecca Thornton, 2021, "Some Children Left Behind: Variation in the Effects of an Educational Intervention," NBER Working Papers, National Bureau of Economic Research, Inc, number 29459, Nov.
- Kim Ristolainen & Tomi Roukka & Henri Nyberg, 2021, "A Thousand Words Tell More Than Just Numbers: Financial Crises and Historical Headlines," Discussion Papers, Aboa Centre for Economics, number 149, Nov.
- David Karpa & Torben Klarl & Michael Rochlitz, 2021, "Artificial Intelligence, Surveillance, and Big Data," Papers, arXiv.org, number 2111.00992, Nov.
- Davide Romelli & Hamza Bennani, 2021, "Disagreement inside the FOMC: New Insights from Tone Analysis," Trinity Economics Papers, Trinity College Dublin, Department of Economics, number tep1021, Sep.
- Tobias Schultheiss & Uschi Backes-Gellner, 2021, "Different degrees of skill obsolescence across hard and soft skills and the role of lifelong learning for labor market outcomes," Economics of Education Working Paper Series, University of Zurich, Department of Business Administration (IBW), number 0188, Nov, revised Sep 2022.
- Hu, Junjie & López Cabrera, Brenda & Melzer, Awdesch, 2021, "Advanced statistical learning on short term load process forecasting," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2021-020.
- Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2021, "Labour-saving automation and occupational exposure: a text-similarity measure," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2021/43, Nov.
- Jean-Charles Bricongne & Baptiste Meunier & Thomas Pical, 2021, "Can satellite data on air pollution predict industrial production?," Working papers, Banque de France, number 847.
- Isaac K. Ofori & Christopher Quaidoo & Pamela E. Ofori, 2021, "What Drives Financial Sector Development in Africa? Insights from Machine Learning," Working Papers, European Xtramile Centre of African Studies (EXCAS), number 21/074, Jan.
- Martin Beraja & Andrew Kao & David Y. Yang & Noam Yuchtman, 2021, "AI-tocracy," NBER Working Papers, National Bureau of Economic Research, Inc, number 29466, Nov.
- Luo, Danqi & Bayati, Mohsen & Plambeck, Erica L. & Aratow, Michael, 2021, "Low-Acuity Patients Delay High-Acuity Patients in EDs," Research Papers, Stanford University, Graduate School of Business, number 3281.
- Ananda Chatterjee & Hrisav Bhowmick & Jaydip Sen, 2021, "Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models," Papers, arXiv.org, number 2111.01137, Nov.
- Angela E. Kilby & Charlie Denhart, 2021, "Location inference on social media data for agile monitoring of public health crises: An application to opioid use and abuse during the Covid-19 pandemic," Papers, arXiv.org, number 2111.01778, Nov.
- Asier Guti'errez-Fandi~no & Miquel Noguer i Alonso & Petter Kolm & Jordi Armengol-Estap'e, 2021, "FinEAS: Financial Embedding Analysis of Sentiment," Papers, arXiv.org, number 2111.00526, Oct, revised Nov 2021.
- Fabrizio Ferriani & Andrea Gazzani, 2021, "Financial condition indices for emerging market economies: can Google help?," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 653, Nov.
- Narayanan, Sridhar & Kalyanam, Kirthi, 2020, "Behavioral Targeting, Machine Learning and Regression Discontinuity Designs," Research Papers, Stanford University, Graduate School of Business, number 3925, Dec.
- Jeremy D. Turiel & Tomaso Aste, 2021, "Self-organised criticality in high frequency finance: the case of flash crashes," Papers, arXiv.org, number 2110.13718, Oct.