CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishThe aim of the paper is to explore some crucial factors playing a significant role in employment decision-making in Italy. In particular, we aim at investigating the influence of family background on the choice to be self-employed rather than salaried; for this end, a series of regression models for categorical data is tested both on sampled workers, taken as a whole, and by gender separation. In this light, to test if the employment choice is context-dependent, environmental attributes are also modelled. In addition to a diversity of determinants, our results shed light on some differences between self-employed workers by first and second generation.
| Titolo: | Generational Determinants on the Employment Choice in Italy |
| Autori: | |
| Data di pubblicazione: | 2012 |
| Abstract: | The aim of the paper is to explore some crucial factors playing a significant role in employment decision-making in Italy. In particular, we aim at investigating the influence of family background on the choice to be self-employed rather than salaried; for this end, a series of regression models for categorical data is tested both on sampled workers, taken as a whole, and by gender separation. In this light, to test if the employment choice is context-dependent, environmental attributes are also modelled. In addition to a diversity of determinants, our results shed light on some differences between self-employed workers by first and second generation. |
| Handle: | http://hdl.handle.net/20.500.12570/17418 |
| ISBN: | 978-3-642-21036-5 |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
File in questo prodotto:
http://hdl.handle.net/20.500.12570/17418
Copyright © 2020