Long-run effects of health shocks in a highly regulated labour market
Michele Belloni (),
Irene Simonetti () and
Francesca Zantomio ()
Additional contact information
Francesca Zantomio: University of Turin, http://www.est.unito.it/
Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin
Based on administrative data covering employment, social security and hospital record histories, we investigate the effect of acute cardiovascular health shocks resulting in unplanned hospitalisation, on blue collars’ long-term labour outcomes in Italy. The Italian institutional setting, characterised by a highly regulated labour market and high job protection, is different from that of countries - mainly Nordic and Anglo-Saxon -covered in previous studies. We apply matching and parametric regression techniques to remove possible bias arising from observable and time-invariant unobservable confounders. Results point at sizeable and persistent reductions in employment and labour income, while hours and wage adjustments appear limited. Whereas a relatively generous social insurance system might compensate the earnings loss, our findings question the appropriateness of existing labour inclusion policies.
Pages: pages 53
New Economics Papers: this item is included in nep-eur, nep-hea and nep-ias
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
https://www.est.unito.it/do/home.pl/Download?doc=/ ... 19dip/wp_22_2019.pdf (application/pdf)
Working Paper: Long-run effects of health shocks in a highly regulated labour market (2019)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:uto:dipeco:201922
Access Statistics for this paper
More papers in Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin Contact information at EDIRC.
Bibliographic data for series maintained by Piero Cavaleri () and Marina Grazioli ().