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Teaching Staff

Biography

Bruno Damásio holds a PhD Applied Mathematics, a Master in Econometrics and a Degree in Economics by the University of Lisbon. His research interests are nonlinear econometrics, multivariate Markov chains, stochastic processes, financial econometrics, nonlinear time-series, applied economics, and the statistical packages R and Stata. His work has been published in several journals, such as Physica A: Statistical Mechanics and its Applications, Statistics and Probability Letters, Applied Economics Letters, Empirica. Additionally, he is a lecturer of statistics and econometrics courses at NOVA IMS (Information Management School, Nova University of Lisbon) and ISEG (Lisbon School of Economics and Management, University of Lisbon). He is serving as statistical consultant and trainer for numerous private and public organisations including OECD, European Comission, European Court of Auditors, Ministries, Central Banks, Bureau of Statistics, Bureau of Economic Analysis, among others.

Scientific Publications

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

Lehmann, C., Cruz-jesus, F., Oliveira, T., & Damásio, B. (2022)

Leveraging the circular economy: Investment and innovation as drivers. Journal of Cleaner Production, 360, 1-10. [132146]. https://doi.org/10.1016/j.jclepro.2022.132146

Mendonça, S., Damásio, B., Freitas, L. C. D., Oliveira, L., Cichy, M., & Nicita, A. (2022)

The rise of 5G technologies and systems: A quantitative analysis of knowledge production. Telecommunications Policy, 46(4), 1-28. [102327]. https://doi.org/10.1016/j.telpol.2022.102327

Mendonça, S., Damásio, B., Santiago, F., Chen, M., Santos, A. B., Cunha, M. P. E., & 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, 1-4. https://doi.org/10.34172/ijhpm.2022.7271

Nigam, R., Tripathi, G., Priya, T., Luis, A. J., Vaz, E., Kumar, S., Shakya, A., Damásio, B., Kotha, M., & Yu, B. (Ed.) (2022)

Did Covid-19 lockdown positively affect the urban environment and UN- Sustainable Development Goals? PLoS ONE, 17(9), 1-21. [e0274621]. https://doi.org/10.1371/journal.pone.0274621

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. [rvac002]. https://doi.org/10.1093/reseval/rvac002

Curado, A., Damásio, B., Encarnação, S., Candia, C., & Pinheiro, F. L. (2021)

Scaling behavior of public procurement activity. PLoS ONE, 16(12), 1-19. [e0260806]. https://doi.org/10.1371/journal.pone.0260806

Lyra, M. D. 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, 1-10. [77]. https://doi.org/10.1007/s41109-021-00418-y

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, 1-9. [102319]. https://doi.org/10.1016/j.habitatint.2021.102319

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(March), 1-17. [e0248285]. https://doi.org/10.1371/journal.pone.0248285

Vaz, E., Damásio, B., Bação, 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

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. [Advanced online publication 30 july 2018]. https://doi.org/10.1080/13504851.2018.1502863. DOI: 10.1080/13504851.2018.1502863

Martins, D., & Damásio, B. (2019)

One Troika fits all?: job crash, pro-market structural reform and austerity-driven therapy in Portugal. Empirica. [Advanced online publication on 11 february 2019]. Doi: https://doi.org/10.1007/s10663-019-09433-w

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. doi: https://doi.org/10.1016/j.physa.2018.05.089

Barros, C., Damásio, B. and Faria, J. (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

Damásio, B. and Nicolau, J. (2014)

Combining a Regression Model with a Multivariate Markov Chain in a Forecasting Problem.Statistics & Probability Letters, 90 (july), 108-113. https://doi.org/10.1016/j.spl.2014.03.026