Tesi etd-11032020-194056
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Tipo di tesi
Corso Ordinario Secondo Livello
Autore
SPADAVECCHIA, LORENZO
URN
etd-11032020-194056
Titolo
Job Polarization, Overeducation and Employment Protection:
An inquiry using Italian Labor Force Survey Data adopting Decomposition methods and Spatial Panel Econometrics techniques
Struttura
Cl. Sc. Sociali - Scienze Economiche
Corso di studi
SCIENZE ECONOMICHE E MANAGERIALI - SCIENZE ECONOMICHE E MANAGERIALI
Commissione
Tutor Prof. DOSI, GIOVANNI
Relatore Prof. MINA, ANDREA
Presidente Prof. BARONTINI, ROBERTO
Membro Prof. TAMAGNI, FEDERICO
Membro Prof.ssa CHIAROMONTE, FRANCESCA
Membro Prof. MARIA ENRICA VIRGILLITO
Membro Prof.ssa NUTI, SABINA
Membro Prof. NUVOLARI, ALESSANDRO
Membro Prof. TESTA, FRANCESCO
Relatore Prof. MINA, ANDREA
Presidente Prof. BARONTINI, ROBERTO
Membro Prof. TAMAGNI, FEDERICO
Membro Prof.ssa CHIAROMONTE, FRANCESCA
Membro Prof. MARIA ENRICA VIRGILLITO
Membro Prof.ssa NUTI, SABINA
Membro Prof. NUVOLARI, ALESSANDRO
Membro Prof. TESTA, FRANCESCO
Parole chiave
- Europe
- Job Polarization
- Labor Economics
- Spatial Econometrics
Data inizio appello
03/12/2020;
Disponibilità
parziale
Riassunto analitico
I study the reallocation of workers in a labour market characterized by rising job polarization and declining employment protection, with a particular attention to mechanisms of skill-mismatch and overeducation. I first present evidence of the general deterioration of employment in middle-wage, routine occupations over the period 1992-
2016 using the European Labour Force Survey (EU-LFS) microdata. I then focus on the Italian case to study the increase in low-skill jobs. The increase is primarily driven by changes in the propensity to work in low-skill jobs for individuals from a small set of demographic groups. Through decomposition methods of analysis, I am also able to
address to what extent these changes are affected by structural changes in the composition of the population, which is aging and gaining higher educational attainment. I find evidence that both young and prime age high educated men and women consistently account for this increase: I am interested in understanding the role of labour
market flexibility in favouring overeducation and skill-mismatch in Italy. I use the Italian LFS, carrying out my analysis adopting panel spatial econometrics techninques on a regional level: these techniques also allow me to control for commuting patterns across Italian regions, through the usage of different types of spatial matrices.
This thesis extends previous literature on job polarization in Europe, and in particular I use a larger timespan relatively to other jobs, thanks to the construction of a crosswalk that allows me to harmonize the European Union LFS (which have witnessed changes in the way data were collected and in the ISCO codification of jobs).
2016 using the European Labour Force Survey (EU-LFS) microdata. I then focus on the Italian case to study the increase in low-skill jobs. The increase is primarily driven by changes in the propensity to work in low-skill jobs for individuals from a small set of demographic groups. Through decomposition methods of analysis, I am also able to
address to what extent these changes are affected by structural changes in the composition of the population, which is aging and gaining higher educational attainment. I find evidence that both young and prime age high educated men and women consistently account for this increase: I am interested in understanding the role of labour
market flexibility in favouring overeducation and skill-mismatch in Italy. I use the Italian LFS, carrying out my analysis adopting panel spatial econometrics techninques on a regional level: these techniques also allow me to control for commuting patterns across Italian regions, through the usage of different types of spatial matrices.
This thesis extends previous literature on job polarization in Europe, and in particular I use a larger timespan relatively to other jobs, thanks to the construction of a crosswalk that allows me to harmonize the European Union LFS (which have witnessed changes in the way data were collected and in the ISCO codification of jobs).
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