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Detecting economic insecurity in Italy: a latent transition modelling approach
[journal article]
Abstract Economic insecurity has increased in importance in the understanding of economic and socio-demographic household behaviour. The present paper aims to analyse patterns of household economic insecurity over the years 2004-2015 by using the longitudinal section of the Italian SILC (Statistics on Income... view more
Economic insecurity has increased in importance in the understanding of economic and socio-demographic household behaviour. The present paper aims to analyse patterns of household economic insecurity over the years 2004-2015 by using the longitudinal section of the Italian SILC (Statistics on Income and Living Conditions) survey. In the identification of economic insecurity statuses, we used indicators of economic hardship in a latent transition approach in order to: (i) classify Italian households into homogenous classes characterised by different levels of economic insecurity, (ii) assess whether changes in latent class membership occurred in the selected time span, and (iii) evaluate the effect of employment status and characteristics of individuals on latent status membership. Empirical findings uncovered five latent statuses of economic insecurity from the best situation to the worst. The levels of economic insecurity remained quite stable over the period considered, but a non-negligible worsening can be detected for the unemployed and individuals with part-time jobs.... view less
Keywords
Italy; longitudinal study; private household; social factors; demographic factors; economic behavior
Classification
Basic Research, General Concepts and History of Economics
Free Keywords
economic insecurity; latent transition analysis; longitudinal data; EU-SILC 2004-2015
Document language
English
Publication Year
2022
Page/Pages
p. 815-846
Journal
Statistical Methods & Applications, 31 (2022) 4
DOI
https://doi.org/10.1007/s10260-021-00609-y
ISSN
1613-981X
Status
Published Version; peer reviewed