Return to Education and the Changing Role of Credentials in the Croatian Labor Market

Vujčić, Boris; Šošić, Vedran

doi:10.1007/s11300-009-0051-8

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…The labour force participation in NMS countries and Portugal also seems lower than in the core EU15 (Figure 4). The obtained results for the 22 European countries converged on the increasing returns to education in selected emerging economies outcomes (see Münich et al, 2005;Vujčić, Šošić, 2009;Li et al,2013;Bargain et al, 2009).…”

Section: Empirical Analysismentioning

confidence: 67%

Diversity in returns to education in Europe. The empirical importance of the systems of the regression approach

Pipień¹,

Roszkowska²

2018

Argumenta Oeconomica

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The aim of the paper is the formal comparison of returns to education for a set of European countries. We apply the system of Seemingly Unrelated Regression Equations (SURE) to obtain the parameters of the Mincerian equations. The differences between the parameters were tested given two alternative stochastic assumptions. In the first model, no contemporaneous correlations between error terms in the system are imposed. In the second approach, the unrestricted covariance matrix is considered, making error terms stochastically dependent. The contemporaneous correlations of error terms in the SURE system were empirically supported. The rich parameterisation of the covariance matrix of contemporaneous relations reduced statistical uncertainty about differences in parameters describing return to education. Therefore, the country heterogeneity of return on education, which seems intuitively correct, was obtained in the system of regressions with a complex stochastic structure.

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Section: Empirical Analysismentioning

confidence: 67%

Diversity in returns to education in Europe. The empirical importance of the systems of the regression approach

Pipień¹,

Roszkowska²

2018

Argumenta Oeconomica

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“…Country-specific and cross-country regressions indicate heterogeneity of returns to human capital and converged on the increasing returns to education in emerging economies (see Münich et al. , 2005; Vujčić and Šošić, 2009; Hanushek et al. , 2015; Pipień and Roszkowska, 2018).…”

Section: Related Literaturementioning

confidence: 99%

What drives labour market success? Empirical analysis of university graduates in Poland

Hojda

Roszkowska

Trojak

2022

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PurposeThe study aims to examine the factors that determine the success of graduates in the labour market. This success is measured in several ways, namely, above-average wages in the economy, employment in accordance with the field of study and job satisfaction. The research explores the employment outcomes of graduates from Jagiellonian University, which is the oldest and one of the best in Poland. Not only does the analysis focus on degree-related predictors such as discipline or faculty, but it is also extended to include activities undertaken during studies and family background.Design/methodology/approachThe analysis is based on data collected in the graduates' career survey, which is conducted six months after graduation. For this article, a database of over 6,000 graduates from four subsequent editions of the survey was compiled. In order to identify the predictors of graduates' success, a logistic regression model was applied.FindingsThe study reveals that graduates' success in the labour market is influenced not only by their discipline, but also by the activities undertaken during their studies, the type of studies and demographic features. Studies in natural sciences give chance for higher earnings, job matching and satisfaction. The humanities and social sciences increase only graduates’ group satisfaction. The impact of activities during studies is diversified – those matched to studies increase the job matching and those unmatched lower the earnings, job matching and satisfaction. Parents' level of education resulted in salary increase. The results also confirm the premises of behavioural theory.Research limitations/implicationsFirstly, the main research limitation is that data of one particular university's graduates are used, so the results should be interpreted in the context of Poland only. Secondly, the authors propose a precise concept of success; however, it could be refined in any future study. This limitation could be mitigated by the flexibility of the model, which guarantees that other predictors of success could be involved. Furthermore, the article was based on data collected before the COVID-19 pandemic, when the labour market was completely different, so it also could be revised now.Practical implicationsThe results of the analysis can be used when preparing the University’s educational offer. Since various predictors are implemented in the model, the information could be useful not only for future students, but also for current students, so they can make a more data-driven decision about their future careers. Additionally, University careers’ advisors are provided with knowledge on the determinants of graduates' success. Taking a broader view, the research findings are also informative for labour market institutions.Originality/valueThe paper offers an advanced analysis in a field that is under-researched in many transition countries, including Poland, i.e. graduates' entry into the workplace. Although the study provides insight into the factors that determine the labour market success of one particular university's graduates, this modelling can be applied to the empirical data of another higher education institution’s (HEI's) graduates.

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Wage inequality and the labor market impact of economic transformation: Croatia, 1970–2008

2012

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Return to Education and the Changing Role of Credentials in the Croatian Labor Market

Abstract: Wage structure, Earning regression, Return to education, J31, P23, P52,

Cited by 5 publications

References 11 publications

Diversity in returns to education in Europe. The empirical importance of the systems of the regression approach

Diversity in returns to education in Europe. The empirical importance of the systems of the regression approach

What drives labour market success? Empirical analysis of university graduates in Poland

Wage inequality and the labor market impact of economic transformation: Croatia, 1970–2008

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