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Staff photo Giovanni Forchini

Giovanni Forchini

I am an econometrician interested many things ...

Research qualifications: Docent

Contact

E-mail
giovanni.forchini@umu.se
Phone
+46 90 786 78 76

Works at

Affiliation
Professor at Umeå School of Business, Economics and Statistics (USBE) Section: Economics
Location
Samhällsvetarhuset, Biblioteksgränd 6 Umeå universitet, 901 87 Umeå
Promoting healthy populations as a pandemic preparedness strategy: a simulation study from Mexico
Lancet Regional Health - Americas, Elsevier 2024, Vol. 30
Johnson, Rob; Carnalla, Martha; Basto-Abreu, Ana; et al.
Optimal hospital care scheduling during the SARS-CoV-2 pandemic
Management science, Institute for Operations Research and the Management Sciences (INFORMS) 2023, Vol. 69, (10) : 5695-6415
D’Aeth, Josh C.; Ghosal, Shubhechyya; Grimm, Fiona; et al.
Semi-parametric modelling of inefficiencies in stochastic frontier analysis
Journal of Productivity Analysis, Springer 2023, Vol. 59 : 135-152
Forchini, Giovanni; Theler, Raoul
The societal value of SARS-CoV-2 booster vaccination in Indonesia
Vaccine, Elsevier 2023, Vol. 41, (11) : 1885-1891
Johnson, Rob; Djaafara, Bimandra; Haw, David; et al.
Optimizing social and economic activity while containing SARS-CoV-2 transmission using DAEDALUS
Nature Computational Science, Vol. 2, (4) : 223-233
Haw, David J.; Forchini, Giovanni; Doohan, Patrick; et al.
Data needs for integrated economic-epidemiological models of pandemic mitigation policies
Epidemics, Elsevier 2022, Vol. 41
Haw, David J.; Morgenstern, Christian; Forchini, Giovanni; et al.
Optimal national prioritization policies for hospital care during the SARS-CoV-2 pandemic
Nature Computational Science, Springer Nature 2021, Vol. 1, (8) : 521-531
D’Aeth, Josh C.; Ghosal, Shubhechyya; Grimm, Fiona; et al.
The impact of a COVID-19 lockdown on work productivity under good and poor compliance
European Journal of Public Health, European Public Health Association 2021, Vol. 31, (5) : 1009-1015
Ohrnberger, Julius; Segal, Alexa Blair; Forchini, Giovanni; et al.
Report 40: Optimal scheduling rules for elective care to minimize years of life lost during the SARS-CoV-2 pandemic: an application to England
Imperial College, London, UK 2020
D’Aeth, Josh; Ghosal, Shubhechyya; Grimm, Fiona; et al.
Seasonal and Regional Fluctuations in the Demand for Accident and Emergency Carein English Hospitals
Umeå economic studies, 970
Forchini, Giovanni; Hauck, Katharina; Steventon, Adam
Instrumental Variables Estimation in Large Heterogeneous Panels with Multifactor Structure
Journal of Econometric Methods, Walter de Gruyter 2020, Vol. 9, (1)
Forchini, Giovanni; Jiang, Bin; Peng, Bin
Report 28: Excess non-COVID-19 deaths in England and Wales between 29th February and 5th June 2020
Imperial College COVID-19 response team 2020
Forchini, Giovanni; Løchen, Alessandra; Hallett, Timothy; et al.
Report 35: How can we keep schools and universities open? Differentiating closures by economic sector to optimize social and economic activity while containing SARS-CoV-2 transmission
Imperial College COVID-19 response team 2020
Haw, David; Forchini, Giovanni; Christen, Paula; et al.
Fragility of identification in panel binary response models
Econometrics Journal, OXFORD UNIV PRESS 2019, Vol. 22, (3) : 282-291
Forchini, Giovanni; Jiang, Bin
The unconditional distributions of the OLS, TSLS and LIML estimators in a simple structural equations model
Econometric Reviews, Philadelphia: Taylor & Francis 2019, Vol. 38, (2) : 208-247
Forchini, Giovanni; Jiang, Bin
TSLS and LIML Estimators in Panels with Unobserved Shocks
Econometrics, Vol. 6, (2)
Forchini, Giovanni; Jiang, Bin; Peng, Bin
A modified first difference estimator for panel data models with a multifactor error structure when the time dimension is small
Forchini, Giovanni; Peng, Bin
Modified first-difference estimator in a panel data model with unobservable factors both in the errors and the regressors when the time dimension is small
Communications in Statistics - Theory and Methods, Taylor & Francis 2017, Vol. 46, (24) : 12226-12239
Forchini, Giovanni; Peng, Bin
A conditional approach to panel data models with common shocks
Econometrics, Vol. 4, (1)
Forchini, Giovanni; Peng, Bin
Modelling Multivariate Durations
International Journal of Statistics & Economic, Vol. 17, (1) : 82-93
Forchini, Giovanni; Ranasinghe, Kulan
View publications in DiVA

Mathematics for economists, I D7, 2018 - (https://www.canvas.umu.se/courses/8191/assignments/syllabus)

Econometrics 1 D12, 2017-  (https://www.canvas.umu.se/courses/8466/assignments/syllabus)

Econometrics 2, 2017-

Analysis of financial data, 2020-

Coordinator for Master theses in economics, 2017-

Published: 31 May, 2021
Published: 08 Jun, 2020