Abstract

Considering the impact of economic crisis on Italian labour market, the aim of this paper is to analyse the status of immigrants from Italy in the labour field using more sources of data: survey data from the research “Case study of Labour Force Survey”, macroeconomic data from official statistics of Eurostat and big data associated to Internet queries on Google. Survey analysis for the 20 regions in Italy confirmed the foreign women advantage of finding a job better than foreign men. The decline in the GDP at regional level affected the immigrants, but their searches for jobs on the Internet were significant in explaining the status of immigrants on labour market. The data at national level used in estimating Bayesian generalized ridge regression suggested that the number of unemployed immigrants from Italy since 2008 is explained by changes in risk of poverty or social exclusion, exports of goods and services, housing cost overburden rate, inflation and tax rate on low wage earners and adult participation in learning.

Highlights

  • The global economic recession started in 2007-2008 affected Italy since 2009, when GDP felt and unemployment quickly grew

  • According to binary logistic regression models, the females have more chances than males to be employed on Italian labour market

  • The result is consistent with expectations and with previous studies that explain the structure of the Italian labour market in terms of immigrants

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Summary

Introduction

The global economic recession started in 2007-2008 affected Italy since 2009, when GDP felt and unemployment quickly grew. The government instability contributed to public debt growth and to downgraded credit rating of Italy in 2011. In this year, the number of Italian immigrants decreased, unemployment becoming an acute issue. Kept the highest public debt in Europe, being officially in the present the single EU country in recession. This difficult economic situation has consequences on the immigrants’ status on Italian labour market. Previous studies indicated that in period of economic recessions changes in the migrants inflows and more returns home were observed (Trenz & Triandafyllidou, 2017). On the other hand, Papademetriou et al (2010) showed that the migrants’ decision to return home is

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