Report NEP-BIG-2023-11-06

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:

• Stephanie Houle & Ryan Macdonald, 2023. "Identifying Nascent High-Growth Firms Using Machine Learning," Staff Working Papers 23-53, Bank of Canada.
• Fung, Esabella, 2023. "A machine learning approach for assessing labor supply to the online labor market," MPRA Paper 118844, University Library of Munich, Germany.
• Rim, Maria J. & Kwon, Youngsun, 2023. "Collecting, generating and analyzing national statistics with AI: what benefits and costs?," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 278015, International Telecommunications Society (ITS).
• Walter Sosa Escudero, 2023. "Big Data y Algoritmos para la Medición de la Pobreza y el Desarrollo," CEDLAS, Working Papers 0319, CEDLAS, Universidad Nacional de La Plata.
• Leogrande, Angelo & Costantiello, Alberto & Leogrande, Domenico & Anobile, Fabio, 2023. "Beds in Health Facilities in the Italian Regions: A Socio-Economic Approach," SocArXiv 9sjcr, Center for Open Science.
• Zhengyong Jiang & Jeyan Thiayagalingam & Jionglong Su & Jinjun Liang, 2023. "CAD: Clustering And Deep Reinforcement Learning Based Multi-Period Portfolio Management Strategy," Papers 2310.01319, arXiv.org.
• Leon Bremer, 2023. "Fuzzy firm name matching: Merging Amadeus firm data to PATSTAT," Tinbergen Institute Discussion Papers 23-055/VIII, Tinbergen Institute.
• Mercedes de Luis & Emilio Rodríguez & Diego Torres, 2023. "Machine learning applied to active fixed-income portfolio management: a Lasso logit approach," Working Papers 2324, Banco de España.
• Billio, Monica & Casarin, Roberto & Costola, Michele & Veggente, Veronica, 2023. "Learning from experts: Energy efficiency in residential buildings," SAFE Working Paper Series 403, Leibniz Institute for Financial Research SAFE.
• Nicolas Fanta & Roman Horvath, 2023. "Artificial Intelligence and Central Bank Communication: The Case of the ECB," Working Papers IES 2023/29, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2023.
• Ernst Fehr & Thomas Epper & Julien Senn, 2023. "The fundamental properties, stability and predictive power of distributional preferences," ECON - Working Papers 439, Department of Economics - University of Zurich.
• Emily Aiken & Suzanne Bellue & Joshua Blumenstock & Dean Karlan & Christopher R. Udry, 2023. "Estimating Impact with Surveys versus Digital Traces: Evidence from Randomized Cash Transfers in Togo," NBER Working Papers 31751, National Bureau of Economic Research, Inc.
• Rafael Bernardo Carmona Benitez & Maria Rosa Nieto, 2023. "A methodology for calculating the unmet passenger demand in the air transportation industry," Papers 23003, Working Papers of Business and Economics School. Anahuac University (Mexico)..
• Saiz, Albert & Salazar-Miranda, Arianna, 2023. "Understanding Urban Economies, Land Use, and Social Dynamics in the City: Big Data and Measurement," IZA Discussion Papers 16501, Institute of Labor Economics (IZA).
• Jakub Micha'nk'ow & {L}ukasz Kwiatkowski & Janusz Morajda, 2023. "Combining Deep Learning and GARCH Models for Financial Volatility and Risk Forecasting," Papers 2310.01063, arXiv.org.
• Susan Athey & Niall Keleher & Jann Spiess, 2023. "Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal," Papers 2310.08672, arXiv.org, revised May 2024.
• Sukwoong Choi & Hyo Kang & Namil Kim & Junsik Kim, 2023. "How Does Artificial Intelligence Improve Human Decision-Making? Evidence from the AI-Powered Go Program," Papers 2310.08704, arXiv.org, revised Jan 2025.
• Brunori, Paolo & Ferreira, Francisco H. G. & Salas Rojo, Pedro, 2023. "Inherited inequality: a general framework and an application to South Africa," LSE Research Online Documents on Economics 120308, London School of Economics and Political Science, LSE Library.
• Jakub Michańków & Paweł Sakowski & Robert Ślepaczuk, 2023. "Hedging Properties of Algorithmic Investment Strategies using Long Short-Term Memory and Time Series models for Equity Indices," Working Papers 2023-25, Faculty of Economic Sciences, University of Warsaw.
• Ethan Callanan & Amarachi Mbakwe & Antony Papadimitriou & Yulong Pei & Mathieu Sibue & Xiaodan Zhu & Zhiqiang Ma & Xiaomo Liu & Sameena Shah, 2023. "Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams," Papers 2310.08678, arXiv.org.
• Joan Calzada & Nestor Duch-Brown & Ricard Gil, 2023. "Do Search Engines Increase Concentration in Media Markets?," CESifo Working Paper Series 10671, CESifo.
• Angino, Siria & Robitu, Robert, 2023. "One question at a time! A text mining analysis of the ECB Q&A session," Working Paper Series 2852, European Central Bank.
• Tong Guo & Boya Xu & Daniel Yi Xu, 2023. "Social Media Publicity and New Product Entry via Entrepreneurs," Working Papers 23-06, NET Institute.
• Millard, Joe & Akimova, Evelina Tamerlanov & Ding, Xuejie & Leasure, Douglas & Zhao, Bo & Mills, Melinda, 2023. "Stringent COVID-19 government restrictions were associated with a marked increase in Twitter activity in Europe," SocArXiv g9apk, Center for Open Science.