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Applying Machine Learning Techniques to Estimate the Size of the Romanian Shadow Economy Cover

Applying Machine Learning Techniques to Estimate the Size of the Romanian Shadow Economy

Proceedings of the International Conference on Business Excellence
Volume 19 (2025): Issue 1 (July 2025)
By: Andreea-Daniela Ivan,  Adriana Anamaria Davidescu,  Marina-Diana Agafiţei and  Maria Cristina Geambaşu  
Open Access
|Jul 2025

Authors

Andreea-Daniela Ivan

ivanandreea19@stud.ase.ro

Bucharest University of Economic Studies, Romania

Adriana Anamaria Davidescu

adriana.alexandru@csie.ase.ro

Bucharest University of Economic Studies/National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania

Marina-Diana Agafiţei

diana.agafiei@csie.ase.ro

Bucharest University of Economic Studies/National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania

Maria Cristina Geambaşu

Geambasumaria14@stud.ase.ro

Bucharest University of Economic Studies, Bucharest, Romania
DOI: https://doi.org/10.2478/picbe-2025-0196 | Journal eISSN: 2558-9652
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Language: English
Page range: 2525 - 2541
Published on: Jul 24, 2025
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
underground economy,
machine learning,
Romania,
artificial intelligence,
currency demand,
informal sector
Related subjects:
Business and economics,
Political economics,
Political economics, other,
Business management,
Business management, other,
Industrial chemistry,
Energy harvesting and conversion

© 2025 Andreea-Daniela Ivan, Adriana Anamaria Davidescu, Marina-Diana Agafiţei, Maria Cristina Geambaşu, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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