What drives employment-unemployment transitions? Evidence from Italian task-based data

Arbeitspapier

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: GLO Discussion Paper ; No. 563

Klassifikation und Themen

• Klassifikation: 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
• Thema: unemployment ; routine-task ; worker-level data

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Cassandro, Nicola ; Centra, Marco ; Esposito, Piero ; Guarascio, Dario
• Ereignis: Veröffentlichung
• (wer): Global Labor Organization (GLO)
• (wo): Essen
• (wann): 2020

Weitere Informationen

• Handle: http://hdl.handle.net/10419/218860
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ