Report NEP-BIG-2022-11-07

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.

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Other reports in NEP-BIG

The following items were announced in this report:

• Xinyu Li & Zihan Tang, 2022, "Sentiment Analysis on Inflation after Covid-19," Papers, arXiv.org, number 2209.14737, Sep, revised Dec 2022.
• Andrew E. Clark & Conchita D'Ambrosio & Niccolo Gentile & Alexandre Tkatchenko, 2022, "What makes a satisfying life? Prediction and interpretation with machine-learning algorithms," CEP Discussion Papers, Centre for Economic Performance, LSE, number dp1853, Jun.
• A. N. M. Sajedul Alam & Junaid Bin Kibria & Arnob Kumar Dey & Zawad Alam & Shifat Zaman & Motahar Mahtab & Mohammed Julfikar Ali Mahbub & Annajiat Alim Rasel, 2022, "A Survey: Credit Sentiment Score Prediction," Papers, arXiv.org, number 2209.15293, Sep.
• Barzin,Samira & Avner,Paolo & Maruyama Rentschler,Jun Erik & O’Clery,Neave, 2022, "Where Are All the Jobs ? A Machine Learning Approach for High Resolution Urban Employment Prediction inDeveloping Countries," Policy Research Working Paper Series, The World Bank, number 9979, Mar.
• Kenta TANAKA & Keisaku HIGASHIDA & Shunsuke MANAGI, 2022, "Impact of Increasing Firms' Consumer Demand Perceptions on Market Outcomes," Discussion papers, Research Institute of Economy, Trade and Industry (RIETI), number 22095, Sep.
• Filmer,Deon P. & Nahata,Vatsal & Sabarwal,Shwetlena, 2021, "Preparation, Practice, and Beliefs : A Machine Learning Approach to Understanding Teacher Effectiveness," Policy Research Working Paper Series, The World Bank, number 9847, Nov.
• Ekaterina Oparina & Caspar Kaiser & Niccolo Gentile & Alexandre Tkatchenko & Andrew E. Clark & Jan-Emmanuel De Neve & Conchita D'Ambrosio, 2022, "Human wellbeing and machine learning," CEP Discussion Papers, Centre for Economic Performance, LSE, number dp1863, Jul.
• Jikai Jin & Yiping Lu & Jose Blanchet & Lexing Ying, 2022, "Minimax Optimal Kernel Operator Learning via Multilevel Training," Papers, arXiv.org, number 2209.14430, Sep, revised Jul 2023.
• Ivan Letteri & Giuseppe Della Penna & Giovanni De Gasperis & Abeer Dyoub, 2022, "DNN-ForwardTesting: A New Trading Strategy Validation using Statistical Timeseries Analysis and Deep Neural Networks," Papers, arXiv.org, number 2210.11532, Oct.
• ESTEVEZ ALMENZAR Marina & FERNANDEZ LLORCA David & GOMEZ Emilia & MARTINEZ PLUMED Fernando, 2022, "Glossary of human-centric artificial intelligence," JRC Research Reports, Joint Research Centre, number JRC129614, Sep.
• Naseh Majidi & Mahdi Shamsi & Farokh Marvasti, 2022, "Algorithmic Trading Using Continuous Action Space Deep Reinforcement Learning," Papers, arXiv.org, number 2210.03469, Oct.
• Zakarya Laghzal & Lamya Temnati, 2022, "Using Machine Learning to Promote Proactive Human Resources Management: A Case Study
  [L'utilisation du machine Learning pour favoriser la gestion proactive des ressources humaines : Etude de cas]," Post-Print, HAL, number hal-03787323, May, DOI: 10.5281/zenodo.6582612.
• Chao LI & Shunsuke MANAGI, 2022, "Impact of the Rapid Expansion of Renewable Energy on Electricity Market Price: Using machine learning and shapley additive explanation," Discussion papers, Research Institute of Economy, Trade and Industry (RIETI), number 22093, Sep.
• Jianlong Zhu & Dan Xian & Fengxiao & Yichen Nie, 2022, "Embedding-based neural network for investment return prediction," Papers, arXiv.org, number 2210.00876, Sep.
• Federico D'Amario & Milos Ciganovic, 2022, "Forecasting Cryptocurrencies Log-Returns: a LASSO-VAR and Sentiment Approach," Papers, arXiv.org, number 2210.00883, Sep.
• Mizue SHIMOMURA & Alexander Ryota KEELEY & Ken'ichi MATSUMOTO & Kenta TANAKA & Shunsuke MANAGI, 2022, "Impact of the Rapid Expansion of Renewable Energy on Electricity Market Price: Using machine learning and shapley additive explanation," Discussion papers, Research Institute of Economy, Trade and Industry (RIETI), number 22090, Sep.
• Fazekas,Mihály & Oliveira,Alexandre Borges De & Regös,Nóra, 2021, "Lowering Prices of Pharmaceuticals, Medical Supplies, and Equipment : Insights from Big Data for Better Procurement Strategies in Latin America," Policy Research Working Paper Series, The World Bank, number 9689, Jun.
• Javier Gil-Bazo & Juan F. Imbet, 2022, "Tweeting for money: Social media and mutual fund flows," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1846, Oct.
• Yacoubou Djima,Ismael & Kilic,Talip, 2021, "Survey Measurement Errors and the Assessment of the Relationship between Yields and Inputs inSmallholder Farming Systems : Evidence from Mali," Policy Research Working Paper Series, The World Bank, number 9841, Nov.
• Doemeland,Doerte & Estevão,Marcello & Jooste,Charl & Sampi Bravo,James Robert Ezequiel & Tsiropoulos,Vasileios, 2022, "Debt Vulnerability Analysis : A Multi-Angle Approach," Policy Research Working Paper Series, The World Bank, number 9929, Feb.
• Andree,Bo Pieter Johannes, 2021, "Estimating Food Price Inflation from Partial Surveys," Policy Research Working Paper Series, The World Bank, number 9886, Dec.
• Xenxo Vidal-Llana & Carlos Salort Sánchez & Vincenzo Coia & Montserrat Guillen, 2022, ""Non-Crossing Dual Neural Network: Joint Value at Risk and Conditional Tail Expectation estimations with non-crossing conditions"," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 202215, Oct, revised Oct 2022.
• Riccardo Righi & Michail Papazoglou & Sofia Samoili & Miguel Vazquez-Prada Baillet & Melisande Cardona & Montserrat Lopez-Cobo & Giuditta De-Prato & Nestor Duch-Brown, 2022, "AI Watch: AI for enhancing Robotics. The intersection of Robotics with the AI landscape," JRC Research Reports, Joint Research Centre, number JRC128846, Sep.
• Gopalan,Saji Saraswathy,Mohammed-Roberts,Rianna L.,Zanetti Matarazzo,Hellen Chrystine, 2021, "Drivers of Utilization, Quality of Care, and RMNCH-N Services in Bangladesh : A Comparative Analysis of Demand and Supply-Side Determinants Using Machine Learning for Investment Decision-Making," Policy Research Working Paper Series, The World Bank, number 9783, Sep.
• Ananda Chatterjee & Hrisav Bhowmick & Jaydip Sen, 2022, "Stock Volatility Prediction using Time Series and Deep Learning Approach," Papers, arXiv.org, number 2210.02126, Oct.
• Ramos Maqueda,Manuel & Chen,Daniel Li, 2021, "The Role of Justice in Development : The Data Revolution," Policy Research Working Paper Series, The World Bank, number 9720, Jun.
• Hui Niu & Siyuan Li & Jian Li, 2022, "MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization," Papers, arXiv.org, number 2210.01774, Sep.
• Marshall R. McCraw, 2022, "Multiclass Sentiment Prediction for Stock Trading," Papers, arXiv.org, number 2210.00870, Sep.
• Gabriele Marconi & Loris Vergolini, 2022, "The demand for language skills in the European labour market: Evidence from online job ads," FBK-IRVAPP Working Papers, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation, number 2022-08, Oct.
• Emanuel Kohlscheen, 2022, "Quantifying the role of interest rates, the Dollar and Covid in oil prices," BIS Working Papers, Bank for International Settlements, number 1040, Sep.
• Behera, Sarthak & Sadana, Divya, 2022, "The Impact of Visibility on School Athletic Finances: An Empirical Analysis using Google Trends," MPRA Paper, University Library of Munich, Germany, number 114818, Jun.
• Mahler,Daniel Gerszon & Castaneda Aguilar,Raul Andres & Newhouse,David Locke, 2021, "Nowcasting Global Poverty," Policy Research Working Paper Series, The World Bank, number 9860, Nov.
• Beyer,Robert Carl Michael & Hu,Yingyao & Yao,Jiaxiong, 2022, "Measuring Quarterly Economic Growth from Outer Space," Policy Research Working Paper Series, The World Bank, number 9893, Jan.
• Nelson Vadori & Leo Ardon & Sumitra Ganesh & Thomas Spooner & Selim Amrouni & Jared Vann & Mengda Xu & Zeyu Zheng & Tucker Balch & Manuela Veloso, 2022, "Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations," Papers, arXiv.org, number 2210.07184, Oct, revised Aug 2023.
• Antonin Bergeaud & Cyril Verluise, 2022, "The rise of China's technological power: the perspective from frontier technologies," CEP Discussion Papers, Centre for Economic Performance, LSE, number dp1876, Oct.
• Ulrich Matter & Roland Hodler & Johannes Ladwig, 2022, "Personalization of Web Search During the 2020 US Elections," Papers, arXiv.org, number 2209.14000, Sep.
• Alder,Simon & Croke,Kevin & Duhaut, Alice & Marty, Robert Andrew & Vaisey,Ariana, 2022, "The Impact of Ethiopia’s Road Investment Program on Economic Development and Land Use : Evidence from Satellite Data," Policy Research Working Paper Series, The World Bank, number 10000, Apr.
• Walk,Erin Elizabeth & Garimella,Kiran & Christia,Fotini, 2022, "Displacement and Return in the Internet Era : How Social Media Captures Migration Decisionsin Northern Syria," Policy Research Working Paper Series, The World Bank, number 10024, Apr.
• Item repec:wbk:wbrwps:9948 is not listed on IDEAS anymore

• Gabor Bekes & Gianmarco I. P. Ottaviano, 2022, "Cultural homophily and collaboration in superstar teams," CEP Discussion Papers, Centre for Economic Performance, LSE, number dp1873, Oct.
• Harry Mamaysky & Yiwen Shen & Hongyu Wu, 2022, "Credit Information in Earnings Calls," Papers, arXiv.org, number 2209.11914, Sep, revised Sep 2023.
• Dasgupta,Susmita & Lall,Somik V. & Wheeler,David R., 2021, "Urban CO2 Emissions : A Global Analysis with New Satellite Data," Policy Research Working Paper Series, The World Bank, number 9845, Nov.

Report NEP-BIG-2022-11-07

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: