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Home | People | Paolo Gorgi
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Paolo Gorgi

Research Fellow

University
Vrije Universiteit Amsterdam
Research field
Econometrics
Interests
Econometric Methodology, Econometric Theory, Econometrics, Time Series Econometrics

Biography

Paolo Gorgi is Assistant Professor at Vrije Universiteit Amsterdam. He obtained his BSc and MSc in the field of Statistical Sciences at the University of Padova, Italy. He was awarded a double PhD from the University of Padova and the Vrije Universiteit Amsterdam. His main research interests concern: time series analysis, statistical inference for dynamic models and forecasting economic variables.

List of publications

Blasques, F., van Brummelen, J., Gorgi, P. and Koopman, S.J. (2024). Maximum Likelihood Estimation for Non-Stationary Location Models with Mixture of Normal Distributions Journal of Econometrics, 238(1):1--22.

Blasques, F., van Brummelen, J., Gorgi, P. and Koopman, S.J. (2024). A robust Beveridge–Nelson decomposition using a score-driven approach with an application Economics Letters, 236:1--5.

Gorgi, P. and Koopman, S.J. (2023). Beta observation-driven models with exogenous regressors: A joint analysis of realized correlation and leverage effects Journal of Econometrics, 237(2):1--21.

Blasques, F., Gorgi, P. and Koopman, S.J. (2021). Missing observations in observation-driven time series models Journal of Econometrics, 221(2):542--568.

Gorgi, P. (2020). Beta–negative binomial auto-regressions for modelling integer-valued time series with extreme observations Journal of the Royal Statistical Society. Series B. Statistical Methodology, 82(5):1325--1347.

Blasques, F., Gorgi, P. and Koopman, S.J. (2019). Accelerating score-driven time series models Journal of Econometrics, 212(2):359--376.

Gorgi, P., Koopman, S.J. and Li, M. (2019). Forecasting economic time series using score-driven dynamic models with mixed-data sampling International Journal of Forecasting, 35(4):1735--1747.

Gorgi, P., Hansen, P.R., Janus, P. and Koopman, S.J. (2019). Realized wishart-garch: A score-driven multi-Asset volatility model Journal of Financial Econometrics, 17(1):1--32.

Angelini, G. and Gorgi, P. (2018). DSGE Models with observation-driven time-varying volatility Economics Letters, 171:169--171.