Arbeitspapier
What drives employment-unemployment transitions? Evidence from Italian task-based data
Relying on a unique longitudinal integrated database supplying micro-level information on labor market transitions (concerning the 2011-2017 period) and occupation task characteristics (e.g. routine-task intensity), this paper provides fresh evidence of the determinants of unemployment risk in Italy. We find that workers employed in routine-intensive occupations (measured with the RTI proposed by Acemoglu and Autor, 2011) do not display – on average - higher unemployment risks than the rest of the workforce. However, on distinguishing between cognitive and manual tasks, it turns out that workers employed in occupations entailing a large proportion of routine cognitive tasks (such as workers employed in service occupations as cashiers or call-center operators) are in fact exposed to a relatively higher risk of becoming unemployed. By contrast, a rather lower risk seems to be faced by workers employed in occupations entailing a large proportion of routine-manual tasks. Finally, the distribution of unemployment risk and its relation with routine-task intensity varies significantly across sectors – with higher risk in manufacturing and construction - confirming the importance of industry-level economic, technological and institutional heterogeneities.
- Language
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Englisch
- Bibliographic citation
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Series: GLO Discussion Paper ; No. 563
- Classification
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Wirtschaft
Human Capital; Skills; Occupational Choice; Labor Productivity
Wage Level and Structure; Wage Differentials
Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
- Subject
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unemployment
routine-task
worker-level data
- Event
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Geistige Schöpfung
- (who)
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Cassandro, Nicola
Centra, Marco
Esposito, Piero
Guarascio, Dario
- Event
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Veröffentlichung
- (who)
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Global Labor Organization (GLO)
- (where)
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Essen
- (when)
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2020
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Cassandro, Nicola
- Centra, Marco
- Esposito, Piero
- Guarascio, Dario
- Global Labor Organization (GLO)
Time of origin
- 2020