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Chapter Unemployment dynamics in Italy: a counterfactual analysis at Covid time
Bakurov, Illya, Culotta, Fabrizio

Chapter Unemployment dynamics in Italy: a counterfactual analysis at Covid time

Author / Organization:
Humanities & Social Sciences Published 2022 Verification Pending

Overview & Synopsis

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.

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Document Information

Document Title Chapter Unemployment dynamics in Italy: a counterfactual analysis at Covid time
Author / Organization Bakurov, Illya, Culotta, Fabrizio
Subject & Discipline Covid-19
Categories Humanities & Social Sciences
Publication Year 2022
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website OAPEN Library (www.oapen.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-58165
Original Source Link Visit Source Page on www.oapen.org »