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When Are Google Data Useful to Nowcast GDP? An Approach via Pre-Selection and Shrinkage

Ferrara, Laurent - 2019

Nowcasting GDP growth is extremely useful for policy-makers to assess macroeconomic conditions in real-time. In this paper, we aim at nowcasting euro area GDP with a large database of Google search data. Our objective is to check whether this specific type of information can be useful to...

Persistent link: https://www.econbiz.de/10012888783

Bayesian MIDAS penalized regressions : estimation, selection, and prediction

Mogliani, Matteo; Simoni, Anna - In: Journal of econometrics 222 (2021) 1,3, pp. 833-860

Persistent link: https://www.econbiz.de/10012619795

When are Google data useful to nowcast GDP? : an approach via pre-selection and shrinkage

Ferrara, Laurent; Simoni, Anna - 2019

Persistent link: https://www.econbiz.de/10012237280

When are Google data useful to nowcast GDP? : an approach via preselection and shrinkage

Ferrara, Laurent; Simoni, Anna - 2020

Persistent link: https://www.econbiz.de/10012242240

When are Google data useful to nowcast GDP? : an approach via preselection and shrinkage

Ferrara, Laurent; Simoni, Anna - In: Journal of business & economic statistics : JBES ; a … 41 (2023) 4, pp. 1188-1202

Persistent link: https://www.econbiz.de/10014448601

Forecast uncertainty in dynamic models : an application to the demand for mail

Cazals, Catherine; Florens, Jean-Pierre; Rodriguez, Frank; … - In: Competition and regulation in the postal and delivery sector, (pp. 63-73). 2008

Persistent link: https://www.econbiz.de/10003651980

Fairness in machine learning and econometrics

Centorrino, Samuele; Florens, Jean-Pierre; Loubes, … - In: Econometrics with Machine Learning, (pp. 217-250). 2022

Persistent link: https://www.econbiz.de/10013447857

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