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, Institute of Labor Economics (IZA), 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, Institute of Labor Economics (IZA), 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, Institute of Labor Economics (IZA), 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, Institute of Labor Economics (IZA), 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: