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 (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:

• Christopher Rauh, 2019, "Measuring Uncertainty at the Regional Level Using Newspaper Text," Cahiers de recherche, Centre interuniversitaire de recherche en économie quantitative, CIREQ, number 09-2019, Sep.
• Dominique Guegan, 2020, "A Note on the Interpretability of Machine Learning Algorithms," Post-Print, HAL, number halshs-02900929, Jul.
• Julia M. Puaschunder, 2020, "On Freedom in the Artificial Age," Proceedings of the 16th International RAIS Conference, March 30-31, 2020, Research Association for Interdisciplinary Studies, number 0011jp, Apr.
• 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, Research Association for Interdisciplinary Studies, number 003jp, Jun.
• Grzegorz Marcjasz & Jesus Lago & Rafa{l} Weron, 2020, "Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs," Papers, arXiv.org, number 2008.08006, Aug.
• 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, arXiv.org, number 2008.07564, Aug.
• 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, The World Bank, number 9306, Jun.
• Loris Cannelli & Giuseppe Nuti & Marzio Sala & Oleg Szehr, 2020, "Hedging using reinforcement learning: Contextual $k$-Armed Bandit versus $Q$-learning," Papers, arXiv.org, number 2007.01623, Jul, 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, arXiv.org, number 2007.04154, Jul.
• Daisuke Miyakawa & Kohei Shintani, 2020, "Disagreement between Human and Machine Predictions," IMES Discussion Paper Series, Institute for Monetary and Economic Studies, Bank of Japan, number 20-E-11, Aug.
• Feras A. Batarseh & Munisamy Gopinath & Anderson Monken, 2020, "Artificial Intelligence Methods for Evaluating Global Trade Flows," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1296, Aug, DOI: 10.17016/IFDP.2020.1296.
• Dirk Roeder & Georgi Dimitroff, 2020, "Volatility model calibration with neural networks a comparison between direct and indirect methods," Papers, arXiv.org, number 2007.03494, Jul.
• 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, University of Pretoria, Department of Economics, number 202077, Aug.
• Ana Rodrigues Bidarra, 2020, "Da confluência entre Big Data e Direito da Concorrência: As concentrações digitais - O caso Facebook/WhatsApp," GEE Papers, Gabinete de Estratégia e Estudos, Ministério da Economia, number 0148, Apr, 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, 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, number ERS-2020-010-MKT, Aug.
• Selod,Harris & Soumahoro,Souleymane, 2020, "Big Data in Transportation : An Economics Perspective," Policy Research Working Paper Series, The World Bank, number 9308, Jun.
• 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 Прогнозирование Фаз Российского Экономического Цикла С Учетом О," Working Papers, Russian Presidential Academy of National Economy and Public Administration, number 052019, May.
• Hannes Mueller & Christopher Rauh, 2019, "The Hard Problem of Prediction for Conflict Prevention," Cahiers de recherche, Centre interuniversitaire de recherche en économie quantitative, CIREQ, number 02-2019, Apr.
• Paola Tubaro & Clément Le Ludec & Antonio A. Casilli, 2020, "Counting ‘micro-workers’: societal and methodological challenges around new forms of labour," Post-Print, HAL, number hal-02898905, DOI: 10.13169/workorgalaboglob.14.1.0067.
• Edmond Lezmi & Jules Roche & Thierry Roncalli & Jiali Xu, 2020, "Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks," Papers, arXiv.org, number 2007.04838, Jul.
• 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, IZA Network @ LISER, number 13506, Jul.
• Daniel Goller, 2020, "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Papers, arXiv.org, number 2008.07165, Aug.
• Moustafa, Khaled, 2020, "Good use of big data: building a home for everyone," arabixiv.org, Center for Open Science, number gnhvr, Aug, DOI: 10.31219/osf.io/gnhvr.
• Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020, "Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market," Working Paper, Economics Department, Queen's University, number 1438, Aug.
• Jie Fang & Jianwu Lin & Shutao Xia & Yong Jiang & Zhikang Xia & Xiang Liu, 2020, "Neural Network-based Automatic Factor Construction," Papers, arXiv.org, number 2008.06225, Aug, revised Oct 2020.
• Tien Mai & Patrick Jaillet, 2020, "A Relation Analysis of Markov Decision Process Frameworks," Papers, arXiv.org, number 2008.07820, Aug.
• Benjamin Virrion, 2020, "Deep Importance Sampling," Working Papers, HAL, number hal-02887331, Jul.
• 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, arXiv.org, number 2008.08004, Aug, 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, University Library of Munich, Germany, number 102314.
• Benjamin Virrion, 2020, "Deep Importance Sampling," Papers, arXiv.org, number 2007.02692, Jul, 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, IZA Network @ LISER, number 13511, Jul.
• 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, Department of Applied Economics at Universitat Autonoma of Barcelona, number wpdea2006, Sep.
• 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), Centre for Competition Policy, University of East Anglia, Norwich, UK., number 2020-05, Aug.
• Filomena Garcia & Muxin Li, 2020, "Digitalization in Two-Sided Platform," GEE Papers, Gabinete de Estratégia e Estudos, Ministério da Economia, number 0146, Apr, revised Apr 2020.
• Sonoo Thadaney Israni & Michael E. Matheny & Ryan Matlow & Danielle Whicher, , "Equity, Inclusivity, and Innovative Digital Technologies to Improve Adolescent and Young Adult Health," Mathematica Policy Research Reports, Mathematica Policy Research, number cbbb2f7034fc466f891adcfa4.
• Youssef M. Aboutaleb & Moshe Ben-Akiva & Patrick Jaillet, 2020, "Learning Structure in Nested Logit Models," Papers, arXiv.org, number 2008.08048, Aug.
• Fafchamps,Marcel & Shilpi,Forhad J., 2020, "The Evolution of Built-up Areas in Ghana since 1975," Policy Research Working Paper Series, The World Bank, number 9314, Jul.
• António Rua & Nuno Lourenço, 2020, "The DEI: tracking economic activity daily during the lockdown," Working Papers, Banco de Portugal, Economics and Research Department, number w202013.
• 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, University Library of Munich, Germany, number 102510, Aug.
• Paulina Concha Larrauri & Upmanu Lall, 2020, "Big Data links from Climate to Commodity Production Forecasts and Risk Management," Papers, arXiv.org, number 2007.03015, Jul.

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 (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: