Report NEP-BIG-2022-10-03

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:

• ITO Asei & LIM Jaehwan & ZHANG Hongyong, 2022. "Catching the Political Leader's Signals: Economic policy uncertainty and firm investment in China," Discussion papers 22081, Research Institute of Economy, Trade and Industry (RIETI).
• Shafuillah Qureshi & Ba Chu & Fanny S. Demers & Michel Demers, 2022. "Using Natural Language Processing to Measure COVID-19-Induced Economic Policy Uncertainty for Canada and the US," Carleton Economic Papers 22-01, Carleton University, Department of Economics.
• Jeaneth Machicao & Imed Riadh Farah & Leonardo Meneguzzi & Corrêa Pedro Luiz Pizzigatti & Alison Specht & Romain David & Gérard Subsol & Danton Ferreira Vellenich & Rodolphe Devillers & Shelley Stall , 2022. "Mitigation Strategies to Improve Reproducibility of Poverty Estimations From Remote Sensing Images Using Deep Learning," Post-Print hal-03761874, HAL.
• Phillip Heiler, 2022. "Heterogeneous Treatment Effect Bounds under Sample Selection with an Application to the Effects of Social Media on Political Polarization," Papers 2209.04329, arXiv.org, revised Jul 2024.
• Long, Vicky & Bjuggren, Per-Olof, 2022. "Working Paper No. 355: The artificial intelligence (AI) data access regime: what are the factors affecting the access and sharing of industrial AI data?," Ratio Working Papers 355, The Ratio Institute.
• Elda Xhumari & Suela Maxhelaku & Endrit Xhina, 2022. "A review of Knowledge Graph and Graph Neural Network application," Proceedings of Economics and Finance Conferences 13615626, International Institute of Social and Economic Sciences.
• Federico Fioravanti & Iyad Rahwan & Fernando Tohmé, 2022. "Properties of Aggregation Operators Relevant for Ethical Decision Making in Artificial Intelligence," Working Papers 177, Red Nacional de Investigadores en Economía (RedNIE).
• Arnoud V. den Boer & Janusz M. Meylahn & Maarten Pieter Schinkel, 2022. "Artificial Collusion: Examining Supracompetitive Pricing by Q-learning Algorithms," Tinbergen Institute Discussion Papers 22-067/VII, Tinbergen Institute.
• Oscar Calvo-Gonz'alez & Axel Eizmendi & Germ'an Reyes, 2022. "The Shifting Attention of Political Leaders: Evidence from Two Centuries of Presidential Speeches," Papers 2209.00540, arXiv.org, revised Jun 2023.
• Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022. "Testing big data in a big crisis: Nowcasting under COVID-19," JRC Working Papers in Economics and Finance 2022-06, Joint Research Centre, European Commission.
• Béatrice BOULU-RESHEF & Catherine BRUNEAU & Maxime NICOLAS & Thomas RENAULT, 2022. "An Experimental Analysis of Investor Sentiment," LEO Working Papers / DR LEO 2940, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
• Mike Kraehenbuehl & Joerg Osterrieder, 2022. "The Efficient Market Hypothesis for Bitcoin in the context of neural networks," Papers 2208.07254, arXiv.org.
• Danijel Jevtic & Romain Deleze & Joerg Osterrieder, 2022. "AI for trading strategies," Papers 2208.07168, arXiv.org.
• Leonardo de Assis Santos & Leonardo Marques, 2022. "Big data analytics for supply chain risk management: research opportunities at process crossroads," Post-Print hal-03766121, HAL.
• Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2022. "The Impact of New Doctorate Graduates on Innovation Systems in Europe," MPRA Paper 114452, University Library of Munich, Germany.
• Henrika Langen, 2022. "The Impact of the #MeToo Movement on Language at Court -- A text-based causal inference approach," Papers 2209.00409, arXiv.org, revised Sep 2023.
• Om Mane & Saravanakumar kandasamy, 2022. "Stock Market Prediction using Natural Language Processing -- A Survey," Papers 2208.13564, arXiv.org.