Research output per year
Research output per year
Personal profile
Personal information
Paolo Gorgi is Associate Professor at the department of Econometrics and Data Science of the Vrije Universiteit Amsterdam.
Research
His main research interests are:
- Score-driven time series models
- Stochastic processes
- Forecasting economic variables
- Statistical inference in non-linear dynamic models
Ancillary activities
- ACMetric B.V. | Amsterdam | Partner | 2021-01-01 - present
Ancillary activities are updated daily
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Academic qualification
PhD, Statistics and Econometrics, Joint degree University of Padova & Vrije Universiteit Amsterdam
1 Jan 2014 → 27 Feb 2017
Award Date: 27 Feb 2017
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Does trade integration imply growth in Latin America? Evidence from a dynamic spatial spillover model
Blasques, F., Gorgi, P., Koopman, S. J. & Sampi Bravo, J., 22 Feb 2023, Tinbergen Institute, (Tinbergen Discussion Papers; no. 23-007/III).Research output: Working paper / Preprint › Working paper › Professional
Open Access -
Estimation of final standings in football competitions with a premature ending: the case of COVID-19
Gorgi, P., Koopman, S. J. & Lit, R., 2023, (Accepted/In press) In: AStA Advances in Statistical Analysis. 107, 1-2, p. 233-250Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models
Armillotta, M. & Gorgi, P., 12 Sept 2023, arXiv.org.Research output: Working paper / Preprint › Preprint › Professional
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Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models
Armillotta, M. & Gorgi, P., 2023, Tinbergen Institute, (TI Discussion Paper Series; vol. 23-054/III ).Research output: Working paper / Preprint › Working paper › Professional
Open Access -
Maximum Likelihood Estimation for Non-Stationary Location Models with Mixture of Normal Distributions
Blasques, F., van Brummelen, J., Gorgi, P. & Koopman, S. J., 6 Jan 2022, III ed., Tinbergen Institute.Research output: Working paper / Preprint › Working paper › Professional
Open Access