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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 (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:
- Stephanie Houle & Ryan Macdonald, 2023, "Identifying Nascent High-Growth Firms Using Machine Learning," Staff Working Papers, Bank of Canada, number 23-53, Oct, DOI: 10.34989/swp-2023-53.
- Fung, Esabella, 2023, "A machine learning approach for assessing labor supply to the online labor market," MPRA Paper, University Library of Munich, Germany, number 118844, Oct.
- 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?, International Telecommunications Society (ITS), number 278015.
- Walter Sosa Escudero, 2023, "Big Data y Algoritmos para la Medición de la Pobreza y el Desarrollo," CEDLAS, Working Papers, CEDLAS, Universidad Nacional de La Plata, number 0319, Oct.
- Leogrande, Angelo & Costantiello, Alberto & Leogrande, Domenico & Anobile, Fabio, 2023, "Beds in Health Facilities in the Italian Regions: A Socio-Economic Approach," SocArXiv, Center for Open Science, number 9sjcr, Oct, DOI: 10.31219/osf.io/9sjcr.
- Zhengyong Jiang & Jeyan Thiayagalingam & Jionglong Su & Jinjun Liang, 2023, "CAD: Clustering And Deep Reinforcement Learning Based Multi-Period Portfolio Management Strategy," Papers, arXiv.org, number 2310.01319, Oct.
- Leon Bremer, 2023, "Fuzzy firm name matching: Merging Amadeus firm data to PATSTAT," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 23-055/VIII, Oct.
- Mercedes de Luis & Emilio Rodríguez & Diego Torres, 2023, "Machine learning applied to active fixed-income portfolio management: a Lasso logit approach," Working Papers, Banco de España, number 2324, Sep, DOI: https://doi.org/10.53479/33560.
- Billio, Monica & Casarin, Roberto & Costola, Michele & Veggente, Veronica, 2023, "Learning from experts: Energy efficiency in residential buildings," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 403, DOI: 10.2139/ssrn.4596682.
- Nicolas Fanta & Roman Horvath, 2023, "Artificial Intelligence and Central Bank Communication: The Case of the ECB," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2023/29, Sep, revised Sep 2023.
- Ernst Fehr & Thomas Epper & Julien Senn, 2023, "The fundamental properties, stability and predictive power of distributional preferences," ECON - Working Papers, Department of Economics - University of Zurich, number 439, Oct.
- 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, National Bureau of Economic Research, Inc, number 31751, Oct.
- Rafael Bernardo Carmona Benitez & Maria Rosa Nieto, 2023, "A methodology for calculating the unmet passenger demand in the air transportation industry," Papers, Working Papers of Business and Economics School. Anahuac University (Mexico)., number 23003, May.
- Saiz, Albert & Salazar-Miranda, Arianna, 2023, "Understanding Urban Economies, Land Use, and Social Dynamics in the City: Big Data and Measurement," IZA Discussion Papers, IZA Network @ LISER, number 16501, Oct.
- Jakub Micha'nk'ow & {L}ukasz Kwiatkowski & Janusz Morajda, 2023, "Combining Deep Learning and GARCH Models for Financial Volatility and Risk Forecasting," Papers, arXiv.org, number 2310.01063, Oct.
- 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, arXiv.org, number 2310.08672, Oct, 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, arXiv.org, number 2310.08704, Oct, 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, London School of Economics and Political Science, LSE Library, number 120308, Sep.
- 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, Faculty of Economic Sciences, University of Warsaw, number 2023-25.
- 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, arXiv.org, number 2310.08678, Oct.
- Joan Calzada & Nestor Duch-Brown & Ricard Gil, 2023, "Do Search Engines Increase Concentration in Media Markets?," CESifo Working Paper Series, CESifo, number 10671.
- Angino, Siria & Robitu, Robert, 2023, "One question at a time! A text mining analysis of the ECB Q&A session," Working Paper Series, European Central Bank, number 2852, Oct.
- Tong Guo & Boya Xu & Daniel Yi Xu, 2023, "Social Media Publicity and New Product Entry via Entrepreneurs," Working Papers, NET Institute, number 23-06, Sep.
- 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, Center for Open Science, number g9apk, Oct, DOI: 10.31219/osf.io/g9apk.