Report NEP-BIG-2020-09-07

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.

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Other reports in NEP-BIG

The following items were announced in this report:

• Christopher Rauh, 2019. "Measuring Uncertainty at the Regional Level Using Newspaper Text," Cahiers de recherche 09-2019, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
• Dominique Guegan, 2020. "A Note on the Interpretability of Machine Learning Algorithms," Post-Print halshs-02900929, HAL.
• Julia M. Puaschunder, 2020. "On Freedom in the Artificial Age," Proceedings of the 16th International RAIS Conference, March 30-31, 2020 0011jp, Research Association for Interdisciplinary Studies.
• Julia M. Puaschunder, 2020. "The Future of Artificial Intelligence in International Healthcare: An Index," Proceedings of the 17th International RAIS Conference, June 1-2, 2020 003jp, Research Association for Interdisciplinary Studies.
• Grzegorz Marcjasz & Jesus Lago & Rafa{l} Weron, 2020. "Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs," Papers 2008.08006, arXiv.org.
• Eduardo Ramos-P'erez & Pablo J. Alonso-Gonz'alez & Jos'e Javier N'u~nez-Vel'azquez, 2020. "Stochastic reserving with a stacked model based on a hybridized Artificial Neural Network," Papers 2008.07564, arXiv.org.
• Deininger,Klaus W. & Ali,Daniel Ayalew & Kussul,Nataliia & Lavreniuk,Mykola & Nivievskyi,Oleg, 2020. "Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine," Policy Research Working Paper Series 9306, The World Bank.
• Loris Cannelli & Giuseppe Nuti & Marzio Sala & Oleg Szehr, 2020. "Hedging using reinforcement learning: Contextual $k$-Armed Bandit versus $Q$-learning," Papers 2007.01623, arXiv.org, revised Feb 2022.
• Patryk Gierjatowicz & Marc Sabate-Vidales & David v{S}iv{s}ka & Lukasz Szpruch & v{Z}an v{Z}uriv{c}, 2020. "Robust pricing and hedging via neural SDEs," Papers 2007.04154, arXiv.org.
• Daisuke Miyakawa & Kohei Shintani, 2020. "Disagreement between Human and Machine Predictions," IMES Discussion Paper Series 20-E-11, Institute for Monetary and Economic Studies, Bank of Japan.
• Feras A. Batarseh & Munisamy Gopinath & Anderson Monken, 2020. "Artificial Intelligence Methods for Evaluating Global Trade Flows," International Finance Discussion Papers 1296, Board of Governors of the Federal Reserve System (U.S.).
• Dirk Roeder & Georgi Dimitroff, 2020. "Volatility model calibration with neural networks a comparison between direct and indirect methods," Papers 2007.03494, arXiv.org.
• Item repec:lic:licosd:41920 is not listed on IDEAS anymore

• Rangan Gupta & Hardik A. Marfatia & Christian Pierdzioch & Afees A. Salisu, 2020. "Machine Learning Predictions of Housing Market Synchronization across US States: The Role of Uncertainty," Working Papers 202077, University of Pretoria, Department of Economics.
• Ana Rodrigues Bidarra, 2020. "Da confluência entre Big Data e Direito da Concorrência: As concentrações digitais - O caso Facebook/WhatsApp," GEE Papers 0148, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Apr 2020.
• Jacobs, B.J.D. & Fok, D. & Donkers, A.C.D., 2020. "Understanding Large-Scale Dynamic Purchase Behavior," ERIM Report Series Research in Management ERS-2020-010-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
• Selod,Harris & Soumahoro,Souleymane, 2020. "Big Data in Transportation : An Economics Perspective," Policy Research Working Paper Series 9308, The World Bank.
• Kaukin, Andrei (Каукин, Андрей) & Kosarev, Vladimir (Косарев, Владимир), 2020. "Identification and forecasting of the phases of the Russian economic cycle, taking into account the sectoral structure of the economy using artificial neural networks [Идентификация И Прогнозирован," Working Papers 052019, Russian Presidential Academy of National Economy and Public Administration.
• Hannes Mueller & Christopher Rauh, 2019. "The Hard Problem of Prediction for Conflict Prevention," Cahiers de recherche 02-2019, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
• Paola Tubaro & Clément Le Ludec & Antonio A. Casilli, 2020. "Counting ‘micro-workers’: societal and methodological challenges around new forms of labour," Post-Print hal-02898905, HAL.
• Edmond Lezmi & Jules Roche & Thierry Roncalli & Jiali Xu, 2020. "Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks," Papers 2007.04838, arXiv.org.
• Burn, Ian & Button, Patrick & Munguia Corella, Luis & Neumark, David, 2020. "Older Workers Need Not Apply? Ageist Language in Job Ads and Age Discrimination in Hiring," IZA Discussion Papers 13506, Institute of Labor Economics (IZA).
• Daniel Goller, 2020. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Papers 2008.07165, arXiv.org.
• Moustafa, Khaled, 2020. "Good use of big data: building a home for everyone," arabixiv.org gnhvr, Center for Open Science.
• Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020. "Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market," Working Paper 1438, Economics Department, Queen's University.
• Jie Fang & Jianwu Lin & Shutao Xia & Yong Jiang & Zhikang Xia & Xiang Liu, 2020. "Neural Network-based Automatic Factor Construction," Papers 2008.06225, arXiv.org, revised Oct 2020.
• Tien Mai & Patrick Jaillet, 2020. "A Relation Analysis of Markov Decision Process Frameworks," Papers 2008.07820, arXiv.org.
• Benjamin Virrion, 2020. "Deep Importance Sampling," Working Papers hal-02887331, HAL.
• Jesus Lago & Grzegorz Marcjasz & Bart De Schutter & Rafa{l} Weron, 2020. "Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark," Papers 2008.08004, arXiv.org, revised Dec 2020.
• Keeley, Alexander Ryota & Matsumoto, Ken'ichi & Tanaka, Kenta & Sugiawan, Yogi & Managi, Shunsuke, 2020. "The Impact of Renewable Energy Generation on the Spot Market Price in Germany: Ex-Post Analysis using Boosting Method," MPRA Paper 102314, University Library of Munich, Germany.
• Benjamin Virrion, 2020. "Deep Importance Sampling," Papers 2007.02692, arXiv.org, revised Jul 2020.
• Jetter, Michael & Mahmood, Rafat & Parmeter, Christopher F. & Ramirez Hassan, Andres, 2020. "Explaining Post-Cold-War Civil Conflict among 17 Billion Models: The Importance of History and Religion," IZA Discussion Papers 13511, Institute of Labor Economics (IZA).
• Miquel-Àngel Garcia-López & Jordi Jofre-Monseny & Rodrigo Martínez-Mazza & Mariona Segú, 2020. "Do short-term rental platforms affect housing markets? Evidence from Airbnb in Barcelona," Working Papers wpdea2006, Department of Applied Economics at Universitat Autonoma of Barcelona.
• Sean F. Ennis & Amelia Fletcher, 2020. "Developing international perspectives on digital competition policy," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2020-05, Centre for Competition Policy, University of East Anglia, Norwich, UK..
• Filomena Garcia & Muxin Li, 2020. "Digitalization in Two-Sided Platform," GEE Papers 0146, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Apr 2020.
• Sonoo Thadaney Israni & Michael E. Matheny & Ryan Matlow & Danielle Whicher, "undated". "Equity, Inclusivity, and Innovative Digital Technologies to Improve Adolescent and Young Adult Health," Mathematica Policy Research Reports cbbb2f7034fc466f891adcfa4, Mathematica Policy Research.
• Youssef M. Aboutaleb & Moshe Ben-Akiva & Patrick Jaillet, 2020. "Learning Structure in Nested Logit Models," Papers 2008.08048, arXiv.org.
• Fafchamps,Marcel & Shilpi,Forhad J., 2020. "The Evolution of Built-up Areas in Ghana since 1975," Policy Research Working Paper Series 9314, The World Bank.
• António Rua & Nuno Lourenço, 2020. "The DEI: tracking economic activity daily during the lockdown," Working Papers w202013, Banco de Portugal, Economics and Research Department.
• Mendez-Guerra, Carlos & Santos-Marquez, Felipe, 2020. "Regional Convergence and Spatial Dependence across Subnational Regions of ASEAN: Evidence from Satellite Nighttime Light Data," MPRA Paper 102510, University Library of Munich, Germany.
• Paulina Concha Larrauri & Upmanu Lall, 2020. "Big Data links from Climate to Commodity Production Forecasts and Risk Management," Papers 2007.03015, arXiv.org.