Printed from https://ideas.repec.org/n/nep-big/2023-03-20.html
Report NEP-BIG-2023-03-20
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:
- Morgane Laouenan & Palaash Bhargava & Jean-Benoît Eyméoud & Olivier Gergaud & Guillaume Plique & Etienne Wasmer, 2022, "A cross-verified database of notable people, 3500BC-2018AD," Sciences Po Economics Publications (main), HAL, number hal-03930666, DOI: 10.1038/s41597-022-01369-4.
- Frank, Johannes, 2023, "Forecasting realized volatility in turbulent times using temporal fusion transformers," FAU Discussion Papers in Economics, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, number 03/2023.
- Item repec:rnp:wpaper:w2022057 is not listed on IDEAS anymore
- Andrew Green & Lucas Lamby, 2023, "The supply, demand and characteristics of the AI workforce across OECD countries," OECD Social, Employment and Migration Working Papers, OECD Publishing, number 287, Feb, DOI: 10.1787/bb17314a-en.
- Harrison, Joseph S. & Josefy, Matthew A. & Kalm, Matias & Krause, Ryan, 2022, "Using supervised machine learning to scale human‐coded data: A method and dataset in the board leadership context," Other publications TiSEM, Tilburg University, School of Economics and Management, number abc9f83d-960e-40c5-ae40-3.
- Dutt, Satyajit & Radermacher, Jan W., 2023, "Age, wealth, and the MPC in Europe: A supervised machine learning approach," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 383.
- Ahrens, Achim & Hansen, Christian B. & Schaffer, Mark E & Wiemann, Thomas, 2023, "ddml: Double/Debiased Machine Learning in Stata," IZA Discussion Papers, IZA Network @ LISER, number 15963, Feb.
- Muhammed Oguzhan Mete & Tahsin Yomralioglu, 2022, "Mass Valuation of Real Estate Using GIS-based Nominal Valuation and Machine Learning Methods," ERES, European Real Estate Society (ERES), number 2022_177, Jan.
- Fabio Manca, 2023, "Six questions about the demand for artificial intelligence skills in labour markets," OECD Social, Employment and Migration Working Papers, OECD Publishing, number 286, Feb, DOI: 10.1787/ac1bebf0-en.
- Item repec:rnp:wpaper:w2022049 is not listed on IDEAS anymore
- Konrad Lewszyk & Piotr Wójcik, 2023, "Modelling Subjective Attractiveness," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2023-06.
- Popoola, Osuolale Peter & Adeboye, Olawale Nureni, 2023, "Fourth Industrial Revolution and Evolution of Data Science: Challenges for Official Statistics," EconStor Research Reports, ZBW - Leibniz Information Centre for Economics, number 268717.
- Markus Eberhardt & Giovanni Facchini & Valeria Rueda, 2023, "Gender differences in reference letters: Evidence from the Economics job market," Discussion Papers, University of Nottingham, GEP, number 2023-02.
- Abu S. Shonchoy & Moogdho M. Mahzab & Towhid I. Mahmood & Manhal Ali, 2023, "Data Driven Contagion Risk Management in Low-Income Countries using Machine Learning Applications with COVID-19 in South Asia," Working Papers, Florida International University, Department of Economics, number 2302, Feb.
- Jingyi Gu & Fadi P. Deek & Guiling Wang, 2023, "Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network," Papers, arXiv.org, number 2302.14164, Feb.
- Lily Davies & Mark Kattenberg & Benedikt Vogt, 2023, "Predicting Firm Exits with Machine Learning: Implications for Selection into COVID-19 Support and Productivity Growth," CPB Discussion Paper, CPB Netherlands Bureau for Economic Policy Analysis, number 444, Mar, DOI: 10.34932/krkb-2p27.
- Radermacher, Jan W., 2023, "Mamma Mia! Revealing hidden heterogeneity by PCA-biplot: MPC puzzle for Italy's elderly poor," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 382.
- Marina Bassi & Lelys Dinarte-Diaz & Maria Marta Ferreyra & Sergio Urzua, 2023, "What Makes a Program Good? Evidence from Short-Cycle Higher Education Programs in Five Developing Countries," CESifo Working Paper Series, CESifo, number 10255.
- O'Donoghue, Cathal & Sologon, Denisa M., 2023, "The Transformation of Public Policy Analysis in Times of Crisis – A Microsimulation-Nowcasting Method Using Big Data," IZA Discussion Papers, IZA Network @ LISER, number 15937, Feb.
- Markus Leippold, 2023, "Sentiment Spin: Attacking Financial Sentiment with GPT-3," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-11, Feb.
- Naudé, Wim, 2023, "Extraterrestrial Artificial Intelligence: The Final Existential Risk?," IZA Discussion Papers, IZA Network @ LISER, number 15924, Feb.
- Item repec:rnp:wpaper:w2022054 is not listed on IDEAS anymore
- Shuo Sun & Molei Qin & Xinrun Wang & Bo An, 2023, "PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets," Papers, arXiv.org, number 2302.00586, Jan, revised Mar 2023.