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Bruno Miguel Pinto Damásio
Identificação
Bruno Miguel Pinto Damásio, Professor Auxiliar Convidado
Doutoramento em Matemática Aplicada
Universidade de Lisboa
Contactos
bdamasio@novaims.unl.pt
Biografia
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.
Unidades Curriculares que leciona na NOVA IMS
- Computação em Estatística e Gestão de Informação
- Econometria I
- Econometria II
- Métodos Econométricos
Publicações
Publicação em Periódicos Científicos
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

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