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About me
Undergraduate course, NOVA IMS - Universidade Nova de Lisboa, 2020
Undergraduate course, NOVA IMS - Universidade Nova de Lisboa, 2019
Undergraduate course, NOVA IMS - Universidade Nova de Lisboa, 2019
Undergraduate course, NOVA IMS - Universidade Nova de Lisboa, 2022
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Master course, NOVA IMS - Universidade Nova de Lisboa, 2020
Master course, NOVA IMS - Universidade Nova de Lisboa, 2020
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Published in African Development Review, 2014
Recommended citation: Barros, C. P., Damásio, B., & Faria, J. R. (2014). Reverse FDI in Europe: an analysis of Angola’s FDI in Portugal. African Development Review, 26(1), 160-171.https://doi.org/10.1111/1467-8268.12072
Published in Statistics & Probability Letters, 2014
Recommended citation: Damásio, B., & Nicolau, J. (2014). Combining a regression model with a multivariate Markov chain in a forecasting problem. Statistics & Probability Letters, 90, 108-113.https://doi.org/10.1016/j.spl.2014.03.026
Published in Physica A: Statistical Mechanics and its Applications, 2018
Recommended citation: Damásio, B., Louçã, F., & Nicolau, J. (2018). The changing economic regimes and expected time to recover of the peripheral countries under the euro: A nonparametric approach. Physica A: Statistical Mechanics and its Applications, 507, 524-533. https://doi.org/10.1016/j.physa.2018.05.089
Published in Empirica, 2019
Recommended citation: Martins, D., & Damásio, B. (2020). One Troika fits all? Job crash, pro-market structural reform and austerity-driven therapy in Portugal. Empirica, 47(3), 495-521. https://doi.org/10.1007/s10663-019-09433-w
Published in Applied Economics Letters, 2019
Recommended citation: Damásio, B., & Mendonça, S. (2019). Modelling insurgent-incumbent dynamics: Vector autoregressions, multivariate Markov chains, and the nature of technological competition. Applied Economics Letters, 26(10), 843-849. https://doi.org/10.1080/13504851.2018.1502863
Published in Habitat International, 2021
Recommended citation: Vaz, E., Bação, F., Damásio, B., Haynes, M., & Penfound, E. (2021). Machine learning for analysis of wealth in cities: A spatial-empirical examination of wealth in Toronto. Habitat International, 108, 102319. https://doi.org/10.1016/j.habitatint.2021.102319
Published in Plos one, 2021
Recommended citation: Vaz, E., Cusimano, M. D., Bação, F., Damásio, B., & Penfound, E. (2021). Open data and injuries in urban areas—A spatial analytical framework of Toronto using machine learning and spatial regressions. Plos one, 16(3), e0248285. https://doi.org/10.1371/journal.pone.0248285
Published in Heliyon, 2021
Recommended citation: Vaz, E., Damásio, B., Baçao, F., Kotha, M., Penfound, E., & Rai, S. K. (2021). Mumbai’s business landscape: A spatial analytical approach to urbanisation. Heliyon, 7(7), e07522. https://doi.org/10.1016/j.heliyon.2021.e07522
Published in Applied Network Science, 2021
Recommended citation: Lyra, M. S., Curado, A., Damásio, B., Bação, F., & Pinheiro, F. L. (2021). Characterization of the firm–firm public procurement co-bidding network from the State of Ceará (Brazil) municipalities. Applied Network Science, 6(1), 1-10. https://doi.org/10.1007/s41109-021-00418-y
Published in Plos one, 2021
Recommended citation: Curado, A., Damásio, B., Encarnação, S., Candia, C., & Pinheiro, F. L. (2021). Scaling behavior of public procurement activity. Plos one, 16(12), e0260806. https://doi.org/10.1371/journal.pone.0260806
Published in arXiv, 2022
Recommended citation: Vasconcelos, C., & Damásio, B. (2022). GenMarkov: Modeling Generalized Multivariate Markov Chains in R. arXiv preprint arXiv:2202.00333. https://doi.org/10.48550/arXiv.2202.00333
Published in Telecommunications Policy, 2022
Recommended citation: Mendonça, S., Damásio, B., de Freitas, L. C., Oliveira, L., Cichy, M., & Nicita, A. (2022). The rise of 5G technologies and systems: A quantitative analysis of knowledge production. Telecommunications Policy, 46(4), 102327. https://doi.org/10.1016/j.telpol.2022.102327
Published in Research Evaluation, 2022
Recommended citation: Paredes, A., Mendonça, J., Bação, F., & Damásio, B. (2022). Does R&D tax credit impact firm behaviour? Micro evidence for Portugal. Research Evaluation, 31(2), 226-235. https://doi.org/10.1093/reseval/rvac002
Published in International Journal of Health Policy and Management, 2022
Recommended citation: Mendonça, S., Damásio, B., Santiago, F., Chen, M., Santos, A. B., Cunha, M. P., & Nicita, A. (2022). Strategic Encounters in Innovation and Regulation: Healthcare transformation in the Era of Digital Connectivity; Comment on “What Managers Find Important for Implementation of Innovations in the Healthcare Sector–Practice Through Six Management Perspectives”. International Journal of Health Policy and Management, (Articles in Press). https://doi.org/10.34172/IJHPM.2022.7271
Published in Journal of Cleaner Production, 2022
Recommended citation: Lehmann, C., Cruz-Jesus, F., Oliveira, T., & Damásio, B. (2022). Leveraging the circular economy: Investment and innovation as drivers. Journal of Cleaner Production, 132146. https://doi.org/10.1016/j.jclepro.2022.132146
Published in Applied Economics, 2022
Recommended citation: Damásio, B., & Mendonça, S. (2022). Leader-follower dynamics in real historical time: A Markovian test of non-linear causality between sail and steam (co-) development. Applied Economics, 1-11 https://doi.org/10.1080/00036846.2022.2100868
Published in Chaos, Solitons & Fractals, 2024
Recommended citation: Damásio, B., & Nicolau, J. (2024). Time inhomogeneous multivariate Markov chains: Detecting and testing multiple structural breaks occurring at unknown dates. Chaos, Solitons & Fractals, 180, 114478.https://doi.org/10.1016/j.chaos.2024.114478
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Undergraduate & Master's courses, NOVA IMS - Information Management School & ISEG, 2022
Undergraduate & Master's courses, NOVA IMS - Information Management School, 2023