Parental background and university dropout in Italy

Aina, Carmen

doi:10.1007/s10734-012-9554-z

Cited by 108 publications

(94 citation statements)

References 35 publications

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“…Moreover, Di Pietro [28] effectively showed the negative relationship between regional unemployment rates and university dropout rates. Aina [29] showed that, in Italy, parental background influences dropout: students with fathers or both parents who only had compulsory schooling were more likely to drop out. Our study did not consider those topics.…”

Section: Limitationsmentioning

confidence: 99%

Sustainable Education: Analyzing the Determinants of University Student Dropout by Nonlinear Panel Data Models

Kim

2018

Sustainability

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University dropout is a serious problem. It affects not only the individual who drops out but also the university and society. However, most previous studies have focused only on the subjective/individual level. University dropout is a very important issue in South Korea, but it has not received much research attention so far. This study examined the possible causes of university dropout in South Korea at the aggregate level, focusing on four fundamental categories: students, resources, faculty, and university characteristics. Three-year balanced panel data from 2013 to 2015 were constructed and estimated by using nonlinear panel data models. The findings show that cost and burden for students, financial resources, qualitative and quantitative features of faculty, and type/size of the university have significant effects on university dropout.

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Section: Limitationsmentioning

confidence: 99%

Sustainable Education: Analyzing the Determinants of University Student Dropout by Nonlinear Panel Data Models

Kim

2018

Sustainability

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“…al, 1999;Di Pietro, 2004Triventi and Trivellato, 2009;Bratti et. all, 2008;Aina, 2013). In these papers and many others, the choice behaviour of students concerning the HE is generally investigated by the predictors of individual and family background characteristics, such as gender, age previous educational records as well as parental income and education (see for instance : Blanchfield, 1972;Smith and Naylor, 2001;Galindo-Rueda and Vignoles, 2005).…”

Section: Introductionmentioning

confidence: 99%

Higher Education in Italy: Spatial Accessibility, Participation and Drop-outs

Türk

2017

BER

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Most previous research has focused on individual and family characteristics as predictors of high school leavers' behaviour towards higher education. However, far too little attention has been paid to the spatial dimension of the subject. This paper aims to narrow this gap by studying whether spatial accessibility of universities from parental residences influences the decisions of higher education participation and dropouts once enrolled to a university in Italy. First a modified version of Hansen gravity index measures the accessibility of HE institutions then a Probit model uses computed access scores across Italian provinces (NUTS3 level regions) to explore likelihood of university attendance and completion. The results show that spatial accessibility is influential when deciding to enrol a university and for successfully completing a degree.

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“…Earlier literature finds that the decision to drop out of a university is related to numerous background factors, such as academic preparedness and ability (e.g., Montmarquette, Mahseredjian and Houle, 2001;Arulampalam Naylor and Smith, 2004;Johnes and McNabb, 2004;Belloc, Maruotti and Petrella, 2010); family backgrounds (e.g., Lassibille and Gomez, 2008;Vignoles and Powdthavee, 2009;Gury, 2011;Aina, 2013); regional labour markets (e.g., Di Pietro, 2006) and working while studying or financial aid (e.g., . Nevertheless, existing empirical literature offers little evidence on how individuals succeed after they dropout from a university.…”

Section: Introductionmentioning

confidence: 99%

R&D subsidies and productivity in SMEs

Karhunen

Huovari

2015

Small Bus Econ

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This dissertation consists of an introductory chapter and four separate empirical studies which study higher education and productivity in Finland. Introductory chapter presents shortly the motivation, background and main results of this thesis. First three articles focus on the relationship between working while studying, dropout behavior and later labor market outcomes at individual level. Fourth article examines how subsidies affect labor productivity at the firm level.The first article of this thesis studies how working while studying relates to earnings after graduation from university or polytechnic. Analysis focuses on working while studying and earnings over two year period after graduation. The results show that early work experience is related to higher earnings right after graduation year, but instrumental variable estimations find no significant causal effect for university students.The second article explores on the relationship between working while studying and migration. Migration propensities are studied up to three years after graduation. Results show that working while studying can partly explain why the mobility of highly educated people has declined. We find that that there are differences by study region and earlier migration behavior.The third article examines the relationship between the decision to drop out from university and labor market outcomes. Results indicate that compared to similar university graduates, the dropouts' annual earnings are on average 11,000 euros lower four years after the dropout decision. Dropouts have also a higher probability of being self-employed than similar graduates.The fourth article examines the effect of R&D subsidies on labour productivity. Study uses firm-level data on Finnish SMEs from 2000 to 2012 and apply a combined matching and difference-in-differences method to control for selection bias. Study does not find significant positive effect on labour productivity over the five-year period after a subsidy is granted.

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Parental background and university dropout in Italy

Cited by 108 publications

References 35 publications

Sustainable Education: Analyzing the Determinants of University Student Dropout by Nonlinear Panel Data Models

Sustainable Education: Analyzing the Determinants of University Student Dropout by Nonlinear Panel Data Models

Higher Education in Italy: Spatial Accessibility, Participation and Drop-outs

R&D subsidies and productivity in SMEs

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