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Cited by 332

The DOI matches its Crossref record; 120 of the 120 references it cites were found in a registry or an index.

Educational choices and the selection process: before and after compulsory schooling

Open access
Mocetti, Sauro·2012·Education Economics

Abstract

The aim of this paper is to analyze the selection process at work before and after compulsory schooling by assessing the determinants of school failures, dropouts and upper secondary school decisions of young Italians. The dataset is built combining individual data by the Labor Force Survey and aggregate data on local labor markets and school supply by the Italian National Statistic Institute and the Minister of Public Education, respectively. Our results show that school failure (i.e., repetition of a year) is highly correlated with the family background, and it strongly affects later choices. Early school leaving and the upper secondary school choice are mainly a reflection of the parents' socioeconomic status. The effectiveness of the educational system when narrowing the failure risk and the scholastic outflow relies on the widespread adoption of full-time attendance in compulsory school, the quality of the school infrastructures and the fewer teachers with temporary contracts.

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Metadata

Authors
Mocetti, S.
Venue
Education Economics
Published
2012-05
Volume
20
Issue
2
Pages
189-209
ISSN
  • 0964-5292 (ISSN-L)
  • 1469-5782
OpenAlex
W2139318206
Cited by
332
References
120
FWCI
232.29
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Educational choices and the selection process: before and after compulsory schooling. https://app.cochat.ai/papers/10.1080/09645291003726434
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Mocetti, S. (2012). Educational choices and the selection process: before and after compulsory schooling. Education Economics. https://doi.org/10.1080/09645291003726434

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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.