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Report NEP-BIG-2021-10-25
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:
- Marcel Wieting & Geza Sapi, 2021, "Algorithms in the Marketplace: An Empirical Analysis of Automated Pricing in E-Commerce," Working Papers, NET Institute, number 21-06, Sep.
- Marozzi, Armando, 2021, "The ECB's tracker: nowcasting the press conferences of the ECB," Working Paper Series, European Central Bank, number 2609, Oct.
- Gan, Tianqi, 2021, "How Parental Educational Investments Respond to Changes in Ability Belief: An Application of Big Data Techniques in Education," 2021 Annual Meeting, August 1-3, Austin, Texas, Agricultural and Applied Economics Association, number 313988, Aug, DOI: 10.22004/ag.econ.313988.
- Yufei Wu & Mahmoud Mahfouz & Daniele Magazzeni & Manuela Veloso, 2021, "How Robust are Limit Order Book Representations under Data Perturbation?," Papers, arXiv.org, number 2110.04752, Oct.
- Aur'elien Sallin, 2021, "Estimating returns to special education: combining machine learning and text analysis to address confounding," Papers, arXiv.org, number 2110.08807, Oct, revised Feb 2022.
- Yektansani, Kiana & Azizi, SeyedSoroosh, 2021, "Using Machine Learning to Predict Consumers’ Environmental Attitudes and Beliefs," 2021 Annual Meeting, August 1-3, Austin, Texas, Agricultural and Applied Economics Association, number 313902, Aug, DOI: 10.22004/ag.econ.313902.
- Zachary Garfield & Ryan Schacht & Emily Post & Dominique Ingram & Andrea Uehling & Shane Macfarlan, 2021, "The content and structure of reputation domains across human societies: a view from the evolutionary social sciences," Post-Print, HAL, number hal-03368986, Oct, DOI: 10.1098/rstb.2020.0296.
- Sallin, Aurelién, 2021, "Estimating returns to special education: combining machine learning and text analysis to address confounding," Economics Working Paper Series, University of St. Gallen, School of Economics and Political Science, number 2109, Oct.
- Curtis Nybo, 2021, "Sector Volatility Prediction Performance Using GARCH Models and Artificial Neural Networks," Papers, arXiv.org, number 2110.09489, Oct.
- Leland Bybee & Bryan T. Kelly & Asaf Manela & Dacheng Xiu, 2021, "Business News and Business Cycles," NBER Working Papers, National Bureau of Economic Research, Inc, number 29344, Oct.
- Jouchi Nakajima & Hiroaki Yamagata & Tatsushi Okuda & Shinnosuke Katsuki & Takeshi Shinohara, 2021, "Extracting Firms' Short-Term Inflation Expectations from the Economy Watchers Survey Using Text Analysis," Bank of Japan Working Paper Series, Bank of Japan, number 21-E-12, Oct.
- Davin Chor & Bingjing Li, 2021, "Illuminating the Effects of the US-China Tariff War on China's Economy," NBER Working Papers, National Bureau of Economic Research, Inc, number 29349, Oct.
- Zhu, Di & Liu, Yu & Yao, Xin & Fischer, Manfred M., 2021, "Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions," Working Papers in Regional Science, WU Vienna University of Economics and Business, number 2021/02, Oct.
- Johansson, Anders C. & Zhu, Zhen, 2021, "Reputational Assets and Social Media Marketing Activeness: Empirical Insights from China," Stockholm School of Economics Asia Working Paper Series, Stockholm School of Economics, Stockholm China Economic Research Institute, number 2021-53, Oct.
- Anese, Gianluca & Corazza, Marco & Costola, Michele & Pelizzon, Loriana, 2021, "Impact of public news sentiment on stock market index return and volatility," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 322.
- Erik Heilmann & Janosch Henze & Heike Wetzel, 2021, "Machine learning in energy forecasts with an application to high frequency electricity consumption data," MAGKS Papers on Economics, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung), number 202135.
- Susana Martínez-Restrepo & Lina Tafur & Juan G. Ocio & Caroline Brethenoux & Patrick Furey & Orlando Rivera, 2021, "Análisis de narrativas en línea sobre el empoderamiento de las mujeres sobrevivientes de las violencias basadas en género en Colombia con procesamiento de lenguaje natural," Informes de Investigación, Fedesarrollo, number 19664, Aug.