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Cited by 236

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Dropping the Books and Working Off the Books

Open access
Cappariello, Rita, Zizza, Roberta·2010·LABOUR

Abstract

The paper empirically tests the relationship between underground labour and schooling achievement for Italy, a country ranking badly in both respects when compared with other high‐income economies, with a marked duality between North and South. In order to identify underground workers, we exploit the information on individuals' social security positions available from the Bank of Italy's Survey on Household Income and Wealth. After controlling for a wide range of sociodemographic and economic variables and addressing potential endogeneity and selection issues, we show that a low level of education sizeably and significantly increases the probability of working underground. Switching from completing compulsory school to graduating at college more than halves this probability for both men and women. The gain is slightly higher for individuals completing the compulsory track with respect to those having no formal education at all. The different probabilities found for self‐employed and dependent workers support the view of a dual informal sector, in which necessity and desirability coexist.

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Crossref · 10.1111/j.1467-9914.2010.00479.x

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Metadata

Authors
Cappariello, R., & Zizza, R.
Venue
LABOUR
Publisher
Wiley
Published
2010-05-18
Volume
24
Issue
2
Pages
139-162
ISSN
  • 1121-7081 (ISSN-L)
  • 1467-9914
OpenAlex
W2149404498
Cited by
236
References
1
FWCI
136.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Dropping the Books and Working Off the Books. https://app.cochat.ai/papers/10.1111/j.1467-9914.2010.00479.x
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Cappariello, R., & Zizza, R. (2010). Dropping the Books and Working Off the Books. LABOUR. https://doi.org/10.1111/j.1467-9914.2010.00479.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.