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

Nicola Cassandro, Marco Centra, Piero Esposito and Dario Guarascio

No 563, GLO Discussion Paper Series from Global Labor Organization (GLO)

Abstract: 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.

Keywords: unemployment; routine-task; worker-level data (search for similar items in EconPapers)
JEL-codes: J24 J31 R23 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-eur and nep-lma
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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