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
Englisch

Bibliographic citation
Series: GLO Discussion Paper ; No. 563

Classification
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
unemployment
routine-task
worker-level data

Event
Geistige Schöpfung
(who)
Cassandro, Nicola
Centra, Marco
Esposito, Piero
Guarascio, Dario
Event
Veröffentlichung
(who)
Global Labor Organization (GLO)
(where)
Essen
(when)
2020

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Cassandro, Nicola
  • Centra, Marco
  • Esposito, Piero
  • Guarascio, Dario
  • Global Labor Organization (GLO)

Time of origin

  • 2020

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