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 issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon.

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 2021/192, International Monetary Fund.
• Nhan Huynh & Mike Ludkovski, 2021. "Joint Models for Cause-of-Death Mortality in Multiple Populations," Papers 2111.06631, arXiv.org.
• Vito Polito & Yunyi Zhang, 2021. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series 9395, CESifo.
• Kandula, Shanthan & Krishnamoorthy, Srikumar & Roy, Debjit, 2021. "Learning to Play the Box-Sizing Game: A Machine Learning Approach for Solving the E-commerce Packaging Problem," IIMA Working Papers WP 2021-11-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
• 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 29459, National Bureau of Economic Research, Inc.
• Kim Ristolainen & Tomi Roukka & Henri Nyberg, 2021. "A Thousand Words Tell More Than Just Numbers: Financial Crises and Historical Headlines," Discussion Papers 149, Aboa Centre for Economics.
• David Karpa & Torben Klarl & Michael Rochlitz, 2021. "Artificial Intelligence, Surveillance, and Big Data," Papers 2111.00992, arXiv.org.
• Davide Romelli & Hamza Bennani, 2021. "Disagreement inside the FOMC: New Insights from Tone Analysis," Trinity Economics Papers tep1021, Trinity College Dublin, Department of Economics.
• 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 0188, University of Zurich, Department of Business Administration (IBW), revised Sep 2022.
• Hu, Junjie & López Cabrera, Brenda & Melzer, Awdesch, 2021. "Advanced statistical learning on short term load process forecasting," IRTG 1792 Discussion Papers 2021-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2021. "Labour-saving automation and occupational exposure: a text-similarity measure," LEM Papers Series 2021/43, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Jean-Charles Bricongne & Baptiste Meunier & Thomas Pical, 2021. "Can satellite data on air pollution predict industrial production?," Working papers 847, Banque de France.
• Isaac K. Ofori & Christopher Quaidoo & Pamela E. Ofori, 2021. "What Drives Financial Sector Development in Africa? Insights from Machine Learning," Working Papers 21/074, European Xtramile Centre of African Studies (EXCAS).
• Martin Beraja & Andrew Kao & David Y. Yang & Noam Yuchtman, 2021. "AI-tocracy," NBER Working Papers 29466, National Bureau of Economic Research, Inc.
• Luo, Danqi & Bayati, Mohsen & Plambeck, Erica L. & Aratow, Michael, 2021. "Low-Acuity Patients Delay High-Acuity Patients in EDs," Research Papers 3281, Stanford University, Graduate School of Business.
• Ananda Chatterjee & Hrisav Bhowmick & Jaydip Sen, 2021. "Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models," Papers 2111.01137, arXiv.org.
• 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 2111.01778, arXiv.org.
• Asier Guti'errez-Fandi~no & Miquel Noguer i Alonso & Petter Kolm & Jordi Armengol-Estap'e, 2021. "FinEAS: Financial Embedding Analysis of Sentiment," Papers 2111.00526, arXiv.org, 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) 653, Bank of Italy, Economic Research and International Relations Area.
• Narayanan, Sridhar & Kalyanam, Kirthi, 2020. "Behavioral Targeting, Machine Learning and Regression Discontinuity Designs," Research Papers 3925, Stanford University, Graduate School of Business.
• Jeremy D. Turiel & Tomaso Aste, 2021. "Self-organised criticality in high frequency finance: the case of flash crashes," Papers 2110.13718, arXiv.org.