Barbara Guardabascio
Barbara Guardabascio
Italian National Institute of Statistics
Email verificata su istat.it
Titolo
Citata da
Citata da
Anno
Estimating the dose–response function through a generalized linear model approach
B Guardabascio, M Ventura
The Stata Journal 14 (1), 141-158, 2014
462014
A vector heterogeneous autoregressive index model for realized volatility measures
G Cubadda, B Guardabascio, A Hecq
International Journal of Forecasting 33 (2), 337-344, 2017
262017
Using social network and semantic analysis to analyze online travel forums and forecast tourism demand
AF Colladon, B Guardabascio, R Innarella
Decision Support Systems 123, 113075, 2019
232019
Estimating the dose-response function through the GLM approach
B Guardabascio, M Ventura
232013
A medium-N approach to macroeconomic forecasting
G Cubadda, B Guardabascio
Economic Modelling 29 (4), 1099-1105, 2012
162012
Representation, estimation and forecasting of the multivariate index-augmented autoregressive model
G Cubadda, B Guardabascio
International Journal of Forecasting 35 (1), 67-79, 2019
102019
A general to specific approach for constructing composite business cycle indicators
G Cubadda, B Guardabascio, A Hecq
Economic Modelling 33, 367-374, 2013
62013
Factor‐Augmented Bridge Models (FABM) and Soft Indicators to Forecast Italian Industrial Production
A Girardi, B Guardabascio, M Ventura
Journal of Forecasting 35 (6), 542-552, 2016
42016
Covid-19 in Italy: actual infected population, testing strategy and imperfect compliance
F Brogi, B Guardabascio, G Barcaroli
DOI, 2020
22020
Un modello per la stima dell’andamento del contagio da COVID-19 in Italia
F Brogi, B Guardabascio
Working paper, 2020
12020
The internet, social media, and a changing China
R Huang
Chinese Journal of Communication 11 (1), 131-133, 2018
12018
The seasonal adjustment of quarterly service turnover indices1
B Iaconelli, F Bacchini, MG Ippoliti, B Guardabascio, R Iannaccone
Recent developments for quarterly service turnover indices, 55, 2015
12015
GPSCORE2: Stata module to estimate the parameters of the conditional distribution of the treatment via GLM
M Ventura, B Guardabascio
Boston College Department of Economics, 2013
12013
3 Building a Synchronous Common-Cycle Index for
G Cubadda, B Guardabascio, A Hecq
Global Interdependence, Decoupling, and Recoupling, 37, 2013
2013
DOSERESPONSE2: Stata module to estimate generalized propensity score
M Ventura, B Guardabascio
Boston College Department of Economics, 2013
2013
On the Use of PLS Regression for Forecasting Large Sets of Cointegrated Time Series
G Cubadda, B Guardabascio
Advanced Statistical Methods for the Analysis of Large Data-Sets, 171-179, 2012
2012
GLOBAL INTERDEPENDENCE, DECOUPLING AND RECOUPLING
G Cubadda, B Guardabasico, A Hecq
2011
A General to SpeciFic Approach For Selecting the Best Business Cycle Indicators
G Cubadda, B Guardabascio, A Hecq
2010
On the use of partial least squares regression for forecasting large sets of cointegrated time series.
G Cubadda, B Guardabascio
Statistical methods for the analysis of large data-sets 1, 371-374, 2009
2009
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–19