Chapter Unemployment dynamics in Italy: a counterfactual analysis at Covid time
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 fr...
में बचाया:
| मुख्य लेखक: | |
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| अन्य लेखक: | |
| स्वरूप: | इलेक्ट्रोनिक पुस्तक अध्याय |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
Florence
Firenze University Press
2021
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| श्रृंखला: | Proceedings e report
132 |
| विषय: | |
| ऑनलाइन पहुंच: | OAPEN Library: download the publication OAPEN Library: description of the publication |
| टैग: |
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| सारांश: | 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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| भौतिक वर्णन: | 1 electronic resource (6 p.) |
| आईएसबीएन: | 978-88-5518-461-8.40 9788855184618 |
| अभिगमन: | Open Access |