Abstract
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 modeled. In addition to a diversity of determinants, our results shed light on some differences between self-employed workers by first and second generation.
This paper has been coordinated by C. Quintano and it is the result of the common work of the Authors: R. Castellano has written Sections 1 and 5; G. Punzo has written Sections 2, 3 and 4.
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Notes
- 1.
In this work, the non-linearity of BRMs estimated is confirmed by predicted probabilities out of the ranges 0.20 and 0.80 (Long 1997). Effective ranges are [0.0423; 0.9813] for the general model, [0.0461; 0.9712] and [0.0750; 0.7684] for the two specific models on male and female workers. Thus, the relationship between the x’s and the probability is not approximately linear.
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Quintano, C., Castellano, R., Punzo, G. (2012). Generational Determinants on the Employment Choice in Italy. In: Di Ciaccio, A., Coli, M., Angulo Ibanez, J. (eds) Advanced Statistical Methods for the Analysis of Large Data-Sets. Studies in Theoretical and Applied Statistics(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21037-2_31
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DOI: https://doi.org/10.1007/978-3-642-21037-2_31
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