Italy has been hit particularly badly by the COVID-19 pandemic and has one of the highest case fatality rates. High levels of intergenerational interaction in the country have been identified as a potential contributor to this. This column cautions against drawing policy implications from simple cross-country correlation analysis. It argues instead that sound empirical analysis using detailed and harmonised microdata at the European level should be conducted to analyse the effectiveness of policy interventions.

Cross-country correlation analysis for research on COVID-19 / Belloc, Marianna; Buonanno, Paolo; Drago, Francesco; Galbiati, Roberto; Pinotti, Paolo. - (2020).

Cross-country correlation analysis for research on COVID-19

Marianna Belloc
Primo
;
2020

Abstract

Italy has been hit particularly badly by the COVID-19 pandemic and has one of the highest case fatality rates. High levels of intergenerational interaction in the country have been identified as a potential contributor to this. This column cautions against drawing policy implications from simple cross-country correlation analysis. It argues instead that sound empirical analysis using detailed and harmonised microdata at the European level should be conducted to analyse the effectiveness of policy interventions.
2020
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1576001
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact