Giovanni Forchini

Kontakt

giovanni.forchini@umu.se

090-786 78 76

Verksam vid

Professor vid Handelshögskolan vid Umeå universitet Enhet: Nationalekonomi

Samhällsvetarhuset, Biblioteksgränd 6 Umeå universitet, 901 87 Umeå

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.

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

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.

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

Fragility of identification in panel binary response models

Econometrics Journal, OXFORD UNIV PRESS 2019, Vol. 22, (3) : 282-291

Forchini, Giovanni; Jiang, Bin

TSLS and LIML Estimators in Panels with Unobserved Shocks

Econometrics, Vol. 6, (2)

Forchini, Giovanni; Jiang, Bin; 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 modified first difference estimator for panel data models with a multifactor error structure when the time dimension is small

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

Visa publikationer i DiVA

Publicerad: 31 maj, 2021

Nya forskningsmedel

Publicerad: 05 jun, 2020

Handelshögskolans pedagogiska pris 2020