This work proposes an analysis of occupational accidents in Italy at the regional level. To this end, INAIL and ISTAT data are used for the period 2010-2019 to apply different econometric estimation techniques (pooled OLS model, fixed effects model and random effects model) and to better consider regional specificities. As will be seen in the course of the work, in most of the estimates, the results show statistically significant correlations between some economic variables and the regional social context (GDP per capita, level of education, unemployment, fragility of the local labour market and level of crime in the region) and the accident phenomenon alternatively defined with different indicators. Therefore, the analysis seemingly confirms the relevance of the regional dimension, which should also be considered for possible policy interventions.

Accidents at work in Italy: an empirical analysis at the regional level / Antonelli, MARIA ALESSANDRA; Forti, Marco; Marrocco, Alessia; Salustri, Andrea. - 60(2023), pp. 1-31.

Accidents at work in Italy: an empirical analysis at the regional level

Maria Alessandra Antonelli;Marco Forti;Alessia Marrocco;Andrea Salustri
2023

Abstract

This work proposes an analysis of occupational accidents in Italy at the regional level. To this end, INAIL and ISTAT data are used for the period 2010-2019 to apply different econometric estimation techniques (pooled OLS model, fixed effects model and random effects model) and to better consider regional specificities. As will be seen in the course of the work, in most of the estimates, the results show statistically significant correlations between some economic variables and the regional social context (GDP per capita, level of education, unemployment, fragility of the local labour market and level of crime in the region) and the accident phenomenon alternatively defined with different indicators. Therefore, the analysis seemingly confirms the relevance of the regional dimension, which should also be considered for possible policy interventions.
2023
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1675282
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