Javier Bas Vicente
Lecturer in Econometrics
Bio
Javier Bas holds a Ph.D. in Economics from the Universidad Autónoma de Madrid and a Ph.D. in Civil Engineering from the University of Maryland. He is Assistant Professor at the Universidad Autónoma de Madrid, where he teaches Machine Learning and Econometrics to graduate and undergraduate students. He has conducted several studies on consumer behavior analysis and welfare measures in the field of transportation economics. He has also conducted research on the diffusion of electric vehicles using Artificial Intelligence tools. He is currently working on several Machine Learning applications such as user the prediction of financial assets, and synthetic population methods, among others. He has published in international journals and is directing a doctoral thesis. He is a research associate at the University of Maryland, where he collaborates in several projects for federal institutions. He also develops Data Science projects as an external consultant for companies located in the Washington D.C. area (USA). Prior to his academic career, he worked in the consulting industry, being involved in international projects in the field of Economics and Business.
Teaching
Machine Learning for Finance and Economics
Research Interests
Machine Learning, Artificial Intelligence, Discrete Choice Models, Survey Methods, Population Synthesis.
Selected publications
- Alberini, A., Bas, J., & Cirillo, C. (2026). Fare-Free Bus Service and CO2 Reductions: Evidence from a Natural Experiment. arXiv preprint arXiv:2601.02190.
- Bas, J., Sáiz, P., & Zofío, J. L. (2025). What doesn’t kill you makes you stronger: on the determinants of trademark survivability over the long term. Journal of Product & Brand Management, 34(6), 862-877.
- Jutras-Dubé, P., Al-Khasawneh, M. B., Yang, Z., Bas, J., Bastin, F., & Cirillo, C. (2024). Copula-based transferable models for synthetic population generation. Transportation Research Part C: Emerging Technologies, 169, 104830.
- Alonso-Robisco, A., Bas, J., Carbo, J. M., de Juan, A., & Marques, J. M. (2025). Where and how machine learning plays a role in climate finance research. Journal of Sustainable Finance & Investment, 15(2), 456-497.
- Bas, J., Cherchi, E., & Cirillo, C. (2023). Predicting the diffusion of the electric vehicle: A dynamic approach to model the impact of imitation and experience. Cuadernos de Economía, 46(132), 59-68.
