Unemployment dynamics in Italy: a counterfactual analysis at Covid time

Illya Bakurov, Fabrizio Culotta

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Abstract

This work performs a counterfactual analysis on unemployment dynamics in Italy during the year 2020. In doing so, ARIMA models are estimated and used to make projections for the 2020 quarters. This exercise is performed at population level and for each gender, age and educational groups. Data are from the Italian Labor Force Survey covering the years 2015-2019 at quarterly frequency. Over the quarters of the year 2020, i.e. a time period covered by the Covid-19 pandemic and related restrictions, actual and counterfactual unemployment dynamics are compared. Overall, this work tries to answer to the following question: what would have happened to unemployment dynamics if Covid-19 pandemic and related restrictions would not arise as they did? Results can be informative to policymakers if the ARIMA projections can represent a reference for the aftermath of the pandemic.
Original languageEnglish
Title of host publicationASA 2021 Statistics and Information Systems for Policy Evaluation: BOOK OF SHORT PAPERS of the on-site conference
EditorsBruno Bertaccini, Luigi Fabbris, Alessandra Petrucci
Place of PublicationFirenze
PublisherFirenze University Press
Chapter40
Pages215-220
ISBN (Electronic)978-88-5518-461-8
DOIs
Publication statusPublished - 2021

Publication series

NameProceedings e report
Volume132
ISSN (Print)2704-601X
ISSN (Electronic)2704-5846

Keywords

  • Covid-19
  • Italy
  • Unemployment Dynamics
  • Counterfactual Analysis
  • ARIMA

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