Socio-Economic Predictors of Student Mobility

Prakhov, Ilya; Bocharova, Maria

doi:10.2139/ssrn.2815457

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…Another barrier to higher education is educational mobility. Although the introduction of USE increased the level of educational mobility of university applicants [Slonimczyk et al, 2017], in some cases family income and characteristics of regional socio-economic and educational development can have a strong influence on the decision to move and accordingly, on the accessibility of higher education in general [Prakhov, Bocharova, 2016;Anikina et al, 2014;Pitukhin, Semenov, 2011]. Finally, the characteristics of the family and regional factors are important predictors of university choice in the context of its selectivity (a choice of elite vs non-elite HEIs) [Prakhov, 2016a].…”

Section: Introductionmentioning

confidence: 99%

Matching between students and universities: What are the sources of inequalities of access to higher education?

Prakhov

Sergienko

2020

Euro J of Education

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It is assumed that a perfect balance between student academic achievement and university quality is beneficial both for students and higher education institutions (HEIs). Matching theory predicts the existence of perfect matching between the two groups in the absence of transaction costs associated with university enrollment. However, in this study we show cases of mismatch situations in Russia under the Unified State Exam (USE) -the standardized student admission mechanism. This research studies the reasons for this phenomenon for minimal transaction costs and the emergence of unequal access to HEIs. Based on data on Moscow high school graduates who entered university, the determinants of the mismatch between the quality of universities and applicant abilities are assessed. It is shown that although in most cases favorable matching results are established, the individual student achievement results themselves are subject to the influence of school and family characteristics. Thus, inequality of access can be formed at stages preceding HEI enrollment.

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Section: Introductionmentioning

confidence: 99%

Matching between students and universities: What are the sources of inequalities of access to higher education?

Prakhov

Sergienko

2020

Euro J of Education

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“…In other words, in addition to microeconomic indicators (individual characteristics, family SES), macro-indicators, such as the average regional salary, affect salary expectations. Such variation in actual wages may contribute to the flow of students to regions with higher wages, and, as a result, will adversely affect future trends in regional development (for example, see Prakhov, Bocharova 2019).…”

Section: Discussionmentioning

confidence: 99%

The Determinants Of Expected Returns On Higher Education In Russia: A Human Capital Theory Perspective

Prakhov

2019

SSRN Journal

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This paper evaluates the determinants of the expected returns on higher education among students of Russian universities accounting for the variation of the socio-economic development of Russian regions. Based on the longitudinal study, 'Trajectories in Education and Careers', it is shown that the average salary in a region is positively related to the individual estimates of expected salary after graduation, but does not affect the relative returns on higher education, i.e. the expected percentage increase in wages, compared to the salary in the absence of a higher education degree. In general, the results correspond to human capital theory, and confirm the rationality of students' salary expectations. The expected salary shortly after graduation from university is positively related to the academic achievement expressed in the university entrance exam (the Unified State Exam, USE), full-time study and prior work experience. Male students expect to receive higher salaries compared to female students. Students who study for free, expect lower salaries compared to those students who cover their tuition costs. An indirect influence (through USE results) of school characteristics and parental education on expected salary was found. In addition, we discovered a direct and indirect relationship between family income and expected salaries after university graduation.

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“…Several studies in different countries have shown the greater importance of territorial characteristics (e.g., job market conditions) in attracting students, compared to other factors (e.g., university attractiveness), which are more closely related to keeping students in their comfort zone (Lörz et al, 2016;Prakhov & Bocharova, 2016). Consequently, Kim (2017) points out that academic capitalism intersects the old hierarchies in local areas (in terms of economic growth or labour market conditions) with new academic stratification (i.e., the reputation of universities).…”

Section: Being a Mover In The Italian He Systemmentioning

confidence: 99%

Movers and stayers in STEM enrollment in Italy: who performs better?

D’Agostino

Ghellini

Lombardi

2021

Genus

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Recently, the mobility behavior of Italian university students has garnered increasing interest from both social scientists and politicians. The very particular geographical characteristics of the country, together with the recognized persistence of a significant economic gap between the southern and northern regions, drive a large number of students to move from the first macro-region to the latter. As this phenomenon has several economic and social implications for policy-makers—at both central and local levels—it has led to various theories and prejudices. The present article will study the differences between the performance of STEM students who have decided to move from the south to the north and those who have decided to stay close to their hometowns. We devised multilevel modelling techniques to analyze this issue using administrative microdata from the Italian Ministry for Universities and Research (MUR), including eight cohorts of students from AY 2008–2009 to AY 2015–16, who enrolled in STEM fields after earning their high school diploma. One of the main findings is that individuals who moved from the south show lower levels of performance than their stayer counterparts who are enrolled in northern or central universities.

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Socio-Economic Predictors of Student Mobility

Cited by 5 publications

References 19 publications

Matching between students and universities: What are the sources of inequalities of access to higher education?

Matching between students and universities: What are the sources of inequalities of access to higher education?

The Determinants Of Expected Returns On Higher Education In Russia: A Human Capital Theory Perspective

Movers and stayers in STEM enrollment in Italy: who performs better?

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