Report NEP-BIG-2022-12-12

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:

• Michał Lewandowski & Marcin Chlebus, 2021, "Predicting football outcomes from Spanish league using machine learning models," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-22.
• Jan Grudniewicz & Robert Ślepaczuk, 2021, "Application of machine learning in quantitative investment strategies on global stock markets," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-23.
• Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2022, "The impact of patent applications on technological innovation in European countries," MPRA Paper, University Library of Munich, Germany, number 115346, Nov.
• Kanazawa, Kyogo & Kawaguchi, Daiji & Shigeoka, Hitoshi & Watanabe, Yasutora, 2022, "AI, Skill, and Productivity: The Case of Taxi Drivers," IZA Discussion Papers, IZA Network @ LISER, number 15677, Oct.
• Kea Baret & Amelie Barbier-Gauchard & Theophilos Papadimitriou, 2022, "Forecasting the Stability and Growth Pact compliance using Machine Learning," Working Papers, International Network for Economic Research - INFER, number 2022.11.
• Thanh Trung Huynh & Minh Hieu Nguyen & Thanh Tam Nguyen & Phi Le Nguyen & Matthias Weidlich & Quoc Viet Hung Nguyen & Karl Aberer, 2022, "Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction," Papers, arXiv.org, number 2211.07400, Nov, revised Nov 2022.
• Tranos, Emmanouil & Incera, Andre Carrascal & Willis, George, 2022, "Using the web to predict regional trade flows: data extraction, modelling, and validation," OSF Preprints, Center for Open Science, number 9bu5z, Jul, DOI: 10.31219/osf.io/9bu5z.
• Youru Li & Zhenfeng Zhu & Xiaobo Guo & Shaoshuai Li & Yuchen Yang & Yao Zhao, 2022, "HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction," Papers, arXiv.org, number 2211.07956, Nov.
• Defu Cao & Yousef El-Laham & Loc Trinh & Svitlana Vyetrenko & Yan Liu, 2022, "DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift," Papers, arXiv.org, number 2211.11513, Nov.
• Soares, César Pedrosa & da Penha Vasconcellos, Maria, 2022, "Proposal Of A Socio-Environmental Vulnerability Scale Of Municipalities That Receive Financial Compensation – Brazil," SocArXiv, Center for Open Science, number jg4a8, Nov, DOI: 10.31219/osf.io/jg4a8.
• Korwin-Zmijowski, Marion & Cristia, Alejandrina, 2022, "Regulation relevant to (long-form) audio recordings gathered in Brazil," OSF Preprints, Center for Open Science, number dxkcf, Sep, DOI: 10.31219/osf.io/dxkcf.
• Korwin-Zmijowski, Marion & Cristia, Alejandrina, 2022, "Regulation relevant to (long-form) audio recordings gathered in Denmark," OSF Preprints, Center for Open Science, number az2qj, Sep, DOI: 10.31219/osf.io/az2qj.
• Korwin-Zmijowski, Marion & Cristia, Alejandrina, 2022, "Regulation relevant to (long-form) audio recordings gathered in Finland," OSF Preprints, Center for Open Science, number e54t9, Sep, DOI: 10.31219/osf.io/e54t9.
• Xiaoxuan Zhang & John Gibson & Xiangzheng Deng, 2022, "Remotely (and wrongly) too equal: Popular night-time lights data understate spatial inequality," Working Papers in Economics, University of Waikato, number 22/13, Nov.
• Chinonso Nwankwo & Nneka Umeorah & Tony Ware & Weizhong Dai, 2022, "Deep learning and American options via free boundary framework," Papers, arXiv.org, number 2211.11803, Nov, revised Dec 2022.
• Schultheiss, Tobias & Pfister, Curdin & Gnehm, Ann-Sophie & Backes-Gellner, Uschi, 2022, "Education Expansion and High-Skill Job Opportunities for Workers: Does a Rising Tide Lift All Boats?," IZA Discussion Papers, IZA Network @ LISER, number 15687, Oct.
• Korwin-Zmijowski, Marion & Cristia, Alejandrina, 2022, "Regulation relevant to (long-form) audio recordings gathered in Papua New Guinea," OSF Preprints, Center for Open Science, number ywbtc, Sep, DOI: 10.31219/osf.io/ywbtc.
• Singhal, Bhoomika, 2022, "Using artificial intelligence to benefit society in Asia: opportunities and challenges," MPRA Paper, University Library of Munich, Germany, number 115421, Oct.
• Schultheiss, Tobias & Backes-Gellner, Uschi, 2022, "Different Degrees of Skill Obsolescence across Hard and Soft Skills and the Role of Lifelong Learning for Labor Market Outcomes," IZA Discussion Papers, IZA Network @ LISER, number 15688, Oct.
• Surjaningsih, Ndari & Werdaningtyas, Hesti & Rahman, Faizal & Falaqh, Romadhon, 2022, "Predicting Household Resilience Before and During Pandemic with Classifier Algorithms," OSF Preprints, Center for Open Science, number w5q9g, Jul, DOI: 10.31219/osf.io/w5q9g.
• Südbeck, Insa & Mindlina, Julia & Schnabel, André & Helber, Stefan, 2022, "Using Recurrent Neural Networks for the Performance Analysis and Optimization of Stochastic Milkrun-Supplied Flow Lines," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-703, Nov.
• Zequn Jin & Lihua Lin & Zhengyu Zhang, 2022, "Identification and Auto-debiased Machine Learning for Outcome Conditioned Average Structural Derivatives," Papers, arXiv.org, number 2211.07903, Nov.
• Olga Marut & Jacek Lewkowicz, 2022, "The effect of decentralization of government power on the character of public goods provision," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2022-11.
• Sandro Heiniger & Winfried Koeniger & Michael Lechner, 2022, "The Heterogeneous Response of Real Estate Asset Prices to a Global Shock," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 22-86, Nov.
• Heiniger, Sandro & Koeniger, Winfried & Lechner, Michael, 2022, "The Heterogeneous Response of Real Estate Asset Prices to a Global Shock," IZA Discussion Papers, IZA Network @ LISER, number 15699, Nov.
• Xiao-Yang Liu & Ziyi Xia & Jingyang Rui & Jiechao Gao & Hongyang Yang & Ming Zhu & Christina Dan Wang & Zhaoran Wang & Jian Guo, 2022, "FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning," Papers, arXiv.org, number 2211.03107, Nov.
• Xinyu Li, 2022, "The impact of moving expenses on social segregation: a simulation with RL and ABM," Papers, arXiv.org, number 2211.12475, Nov.
• Erhan Bayraktar & Qi Feng & Zhaoyu Zhang, 2022, "Deep Signature Algorithm for Multi-dimensional Path-Dependent Options," Papers, arXiv.org, number 2211.11691, Nov, revised Jan 2024.
• Julia Bachtrögler-Unger & Mathias Dolls & Carla Krolage & Paul Schüle & Hannes Taubenböck & Matthias Weigand, 2022, "EU Cohesion Policy on the Ground: Analyzing Small-Scale Effects Using Satellite Data," WIFO Working Papers, WIFO, number 653, Nov.
• Maureen Cowhey & Seung Jung Lee & Thomas Popeck Spiller & Cindy M. Vojtech, 2022, "Sentiment in Bank Examination Reports and Bank Outcomes," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2022-077, Nov, DOI: 10.17016/FEDS.2022.077.

Report NEP-BIG-2022-12-12

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: