Dynamics of Persistent Poverty in Italy at the Beginning of the Crisis

Genus Journal of Population Sciences 2016, 73:3

17 Pages Posted: 14 Jul 2016

See all articles by Lucia Coppola

Lucia Coppola

National Institute of Statistics (Istat)

Davide Di Laurea

National Institute of Statistics (Istat)

Date Written: May 13, 2015

Abstract

We propose an analysis of the persistent at risk of poverty (PARP) rate in Italy at the beginning of the Great Recession (2007–2010). Italy represents an interesting case study because it has one of the highest PARP rates in Europe, together with a weak labour market, an inadequate social security system, and a pronounced territorial dualism. EU statistics on income and living conditions (EU-SILC) longitudinal data are used. Logistic regression is applied to disentangle the relationship between household and main earner characteristics and the likelihood of being persistently poor. According to our results, male employees are more likely to hamper persistent poverty for their households; the opposite holds true for women as family breadwinner. Human capital endowment also shows a relevant role in preventing persistent poverty. The presence of children, instead, makes households more vulnerable. The South disadvantage slightly decreases at the beginning of the crisis. This is due to the worsening economic conditions in the North and Centre, affected to a wider extent by the economic downturn. The Italian welfare system appears ineffective in protecting worse-off households, and policies aimed at protecting employment, supporting women labour force participation, the elderly, and households with children would be needed.

Keywords: Poverty, Persistent poverty, Longitudinal data, EU-SILC, Italy

JEL Classification: I32, C25

Suggested Citation

Coppola, Lucia and Di Laurea, Davide, Dynamics of Persistent Poverty in Italy at the Beginning of the Crisis (May 13, 2015). Genus Journal of Population Sciences 2016, 73:3 , Available at SSRN: https://ssrn.com/abstract=2809530

Lucia Coppola

National Institute of Statistics (Istat) ( email )

Via Cesare Balbo 16
00184 Rome, 0185
Italy

Davide Di Laurea (Contact Author)

National Institute of Statistics (Istat) ( email )

Via Cesare Balbo 16
00184 Rome, 0185
Italy

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