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Report NEP-BIG-2019-09-02
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:
- Bertin Martens & Songul Tolan, 2018, "Will this time be different? A review of the literature on the Impact of Artificial Intelligence on Employment, Incomes and Growth," JRC Working Papers on Digital Economy, Joint Research Centre, number 2018-08, Aug.
- Morelli, Massimo & Gennaro, Gloria & Lecce, Giampaolo, 2019, "Intertemporal Evidence on the Strategy of Populism," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13804, Jun.
- Attia, Tarek M., 2019, "Challenges and Opportunities in the Future Applications of IoT Technology," 2nd Europe – Middle East – North African Regional ITS Conference, Aswan 2019: Leveraging Technologies For Growth, International Telecommunications Society (ITS), number 201752.
- Bertin Martens, 2018, "The impact of data access regimes on artificial intelligence and machine learning," JRC Working Papers on Digital Economy, Joint Research Centre, number 2018-09, Sep.
- Lisa-Cheree Martin, 2019, "Machine Learning vs Traditional Forecasting Methods: An Application to South African GDP," Working Papers, Stellenbosch University, Department of Economics, number 12/2019.
- Blattman, Christopher & Dube, Oeindrila & Bazzi, Samuel & Gudgeon, Matthew & Peck, Richard & Blair, Robert, 2019, "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13829, Jun.
- Mossad, Omar S. & ElNainay, Mustafa & Torki, Marwan, 2019, "Modulations Recognition using Deep Neural Network in Wireless Communications," 2nd Europe – Middle East – North African Regional ITS Conference, Aswan 2019: Leveraging Technologies For Growth, International Telecommunications Society (ITS), number 201750.
- David Byrd & Tucker Hybinette Balch, 2019, "Intra-day Equity Price Prediction using Deep Learning as a Measure of Market Efficiency," Papers, arXiv.org, number 1908.08168, Aug.
- Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2019, "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany’s programmes for long term unemployed," Economics Working Paper Series, University of St. Gallen, School of Economics and Political Science, number 1910, Aug.
- Christian Bayer & Blanka Horvath & Aitor Muguruza & Benjamin Stemper & Mehdi Tomas, 2019, "On deep calibration of (rough) stochastic volatility models," Papers, arXiv.org, number 1908.08806, Aug.
- Songul Tolan, 2018, "Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges," JRC Working Papers on Digital Economy, Joint Research Centre, number 2018-10, Dec.
- Jingyuan Wang & Yang Zhang & Ke Tang & Junjie Wu & Zhang Xiong, 2019, "AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks," Papers, arXiv.org, number 1908.02646, Jul.
- Item repec:sek:ibmpro:9211706 is not listed on IDEAS anymore
- Michael Zimmert & Michael Lechner, 2019, "Nonparametric estimation of causal heterogeneity under high-dimensional confounding," Papers, arXiv.org, number 1908.08779, Aug.
- Victor Chernozhukov & Whitney Newey & Vira Semenova, 2019, "Welfare Analysis in Dynamic Models," Papers, arXiv.org, number 1908.09173, Aug, revised May 2025.
- Abdel Ghafar, Ahmed Ismail & Vazquez Castro, Ágeles & Essam Khedr, Mohamed, 2019, "Multidimensional Self-Organizing Chord-Based Networking for Internet of Things," 2nd Europe – Middle East – North African Regional ITS Conference, Aswan 2019: Leveraging Technologies For Growth, International Telecommunications Society (ITS), number 201736.
- Stephan B. Bruns & Alessio Moneta & David I. Stern, 2019, "Estimating the Economy-Wide Rebound Effect Using Empirically Identified Structural Vector Autoregressions," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2019/27, Aug.
- Manel Hamdi & Walid Chkili, 2019, "An artificial neural network augmented GARCH model for Islamic stock market volatility: Do asymmetry and long memory matter?," Working Papers, Economic Research Forum, number 13, Aug, revised 21 Aug 2019.
- Mark Weber & Giacomo Domeniconi & Jie Chen & Daniel Karl I. Weidele & Claudio Bellei & Tom Robinson & Charles E. Leiserson, 2019, "Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics," Papers, arXiv.org, number 1908.02591, Jul.
- Lotfi Boudabsa & Damir Filipović, 2019, "Machine Learning With Kernels for Portfolio Valuation and Risk Management," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-34, Jun.
- Albanesi, Stefania & Vamossy, Domonkos, 2019, "Predicting Consumer Default: A Deep Learning Approach," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13914, Aug.
- Stephany, Fabian & Lorenz, Hanno, 2019, "Back to the Future - Changing Job Profiles in the Digital Age," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 202035.
- Stefania Albanesi & Domonkos F. Vamossy, 2019, "Predicting Consumer Default: A Deep Learning Approach," NBER Working Papers, National Bureau of Economic Research, Inc, number 26165, Aug.
- Seán Kennedy, 2019, "The potential of tax microdata for tax policy," OECD Taxation Working Papers, OECD Publishing, number 45, Sep, DOI: 10.1787/d2283b8e-en.
- Suguru TAMURA, 2019, "Results of a survey on standardization activities: Japanese institutions' standardization activities in 2017 (Implementation, knowledge source, organizational structure, and interest in artificial intelligence)," Policy Discussion Papers, Research Institute of Economy, Trade and Industry (RIETI), number 19013, Aug.