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Report NEP-BIG-2019-03-11
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:
- Sara Moricz, 2019, "Using Artificial Intelligence to Recapture Norms: Did #metoo change gender norms in Sweden?," Papers, arXiv.org, number 1903.00690, Mar.
- Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019, "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," NBER Working Papers, National Bureau of Economic Research, Inc, number 25619, Feb.
- Miriam Steurer & Robert Hill, 2019, "Metrics for Evaluating the Performance of Automated Valuation Models," Graz Economics Papers, University of Graz, Department of Economics, number 2019-02, Feb.
- Rohan Arora & Chen Fan & Guillaume Ouellet Leblanc, 2019, "Liquidity Management of Canadian Corporate Bond Mutual Funds: A Machine Learning Approach," Staff Analytical Notes, Bank of Canada, number 2019-7, DOI: 10.34989/san-2019-7.
- Giorgia Giovannetti & Elena Perra, 2019, "Syria in the Dark: Estimating the Economic Consequences of the Civil War through Satellite-Derived Night Time Lights," Working Papers - Economics, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa, number wp2019_05.rdf.
- Sima Siami-Namini & Akbar Siami Namin, 2018, "Forecasting Economics and Financial Time Series: ARIMA vs. LSTM," Papers, arXiv.org, number 1803.06386, Mar.
- Clotilde Coron, 2019, "Big Data et pratiques de GRH," Post-Print, HAL, number halshs-01961214.
- Dmitry I. Ivanov & Alexander S. Nesterov, 2019, "Stealed-bid Auctions: Detecting Bid Leakage via Semi-Supervised Learning," Papers, arXiv.org, number 1903.00261, Mar, revised Nov 2020.
- Jonas Rothfuss & Fabio Ferreira & Simon Walther & Maxim Ulrich, 2019, "Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks," Papers, arXiv.org, number 1903.00954, Mar, revised Apr 2019.
- Robert J. Shiller, 2019, "Narratives About Technology-Induced Job Degradation Then and Now," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2168, Feb.
- Jiun-Hua Su, 2019, "Model Selection in Utility-Maximizing Binary Prediction," Papers, arXiv.org, number 1903.00716, Mar, revised Jul 2020.
- Ludovic Gouden`ege & Andrea Molent & Antonino Zanette, 2019, "Gaussian Process Regression for Pricing Variable Annuities with Stochastic Volatility and Interest Rate," Papers, arXiv.org, number 1903.00369, Mar, revised Jul 2019.
- Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019, "On binscatter," Staff Reports, Federal Reserve Bank of New York, number 881, Feb.