Search results

The authors analyse how the association between parental background and adult children's earnings changes when net rather than gross children's earnings are considered and disentangle what such changes depend on: differences between pre and after taxes earnings inequality or reranking of individuals along the earnings distribution before and after taxes.

Using data from European Union Statistics on Income and Living Conditions (EU-SILC) 2011, the authors focus on two large European countries, Italy and Poland, with comparable levels of inequality and background-related earnings premia but very different personal income tax (PIT) design and estimate – at both the mean and the deciles of the earnings distribution – the association between parents' characteristics and children's gross and net earnings.

The authors find that in Italy the PIT reduces the magnitude of the association between parental background and adult children's earnings at the top of the distribution, while no effects emerge for Poland, and the reduction is mostly due to a decrease in earnings inequality rather than to a re-ranking of children along the distribution. The findings are confirmed when the authors simulate the introduction of a “quasi flat tax” regime in Italy.

The findings suggest that the higher the tax progressivity, the higher the background-related inequality reduction and the lower the intergenerational association, signalling that the degree of progressivity amongst children may be an effective weapon to reduce intergenerational inequality.

In the literature on intergenerational inequality, the role of taxes is usually overlooked. In this paper, the authors try to fill this gap and enquire how the PIT design affects the association between parental background and adult children's earnings.

This study examines educational inequalities under socialism in Bulgaria, Czechoslovakia, Hungary, Poland, and Russia to assess the extent to which egalitarianism was achieved and whether there was restratification after the common retreat from egalitarian ideology and practices since the 1970s. Exploring the extent of parental influences in three key educational outcomes and their changes in four birth cohorts, the study finds remarkable stability across cohorts and across transitions. Contrary to expectation, the net effect of parental social capital (communist party membership status) is prominent only in the former Soviet Russia and Bulgaria, moderate in Czechoslovakia, and negligible in Hungary and Poland. On the other hand, the effect of parental cultural capital is consistently strong but its influence is somewhat weaker at higher transitions. Its inclusion also dramatically reduces the effect of parental education and father’s occupation, suggesting that a significant extent of intergenerational transmission of educational inequality is mediated through parental cultural capital rather than human capital per se.

Can an estimate of the intergenerational elasticity (IGE) be interpreted as a measure of inequality of opportunity (IOp)? If parental income is the only childhood circumstance, then the answer is yes. However, parental income is one of many potential circumstances that can shape IOp. These circumstances can influence the offspring’s income indirectly – by influencing parental income – or directly, bypassing the IGE altogether. I develop a model to decompose the interaction between childhood circumstances, parental income and offspring income. Using the Panel Study of Income Dynamics for the United States, I find that childhood circumstances account for 55% of the IGE for individual earnings and 53% for family income, with parental education explaining over a third of those shares. Furthermore, the IGE misses a large part of the influence of circumstances: only 45% of the influence of parental education on the offspring’s income goes through parental income (36% for earnings).

This study aims to examine how the perceptions of hospitality and tourism management (HTM) undergraduates about their parental influences predict their career choice intention with regard to the hospitality and tourism (H&T) industry in China.

A self‐administered questionnaire containing 22 parental influence attributes was given to both junior and senior students studying HTM programmes. Primary research on students' perceptions of parental influences on career choice has been undertaken in ten universities across five cities in China, with 566 valid samples acquired as a result.

Three out of six parental influential factors derived from 22 attributes are determined as being the salient predictors for students' H&T career choice intention. Those three factors are “perceived parental supports of the H&T industry”, “perceived parental career concerns about welfare and prestige”, and “perceived parental barriers to career choice”. Demographic differences in parental influential factors are also revealed in the study.

The findings need to be confirmed by further evidence from other countries with different cultures. Future research should investigate students studying different majors, or at various educational levels. The variables of internship experience and colleges or universities being attended also deserve more attention. Another interesting topic would be to study parental influences on career choice from the parents' perspectives.

The knowledge obtained from the study will increase the very limited understanding of the effects of perceived parental influences on career choice, which might then lead to more attraction and recruitment of students to the H&T industry in China.

The purpose of this paper is to assess the role of local labour market conditions and pupil educational attainment as primary determinants of the post-compulsory schooling decision.

Through the specification of a nested logit model, the restrictive independence of irrelevant alternatives (IIA) assumption inherent in the multinomial logit (MNL) model is relaxed across multiple unordered outcomes.

The analysis shows that the factors influencing schooling decisions differ for males and females. For females, on average, the key drivers of the schooling decision are expected wage returns based on youth educational attainment, attitudes to school and parental aspirations, rather than local labour market conditions. For males, higher local unemployment rates encourage greater investment in education.

The contribution of this paper to the existing literature is threefold. First, a nested logit model is proposed as an alternative to a MNL. The former can formally incorporate the structured and sequential decision-making process that youths may engage with in relation to the post-compulsory schooling decision, as well as relaxing the restrictive IIA assumption inherent in the MNL across multiple unordered outcomes, an issue the authors discuss in more detail in the Methodology section below. Second, the analysis is based on extremely rich socio-economic data from the Longitudinal Study of Young People in England, matched to local labour market data and administrative data from the National Pupil Database and Pupil Level Annual School Census, which provide a broad set of unusually high-quality measures of prior attainment. The authors argue that such high-quality data and an appropriate model specification allows identification of the determinants of the post-compulsory decision in a more detailed manner than many previous analyses. Third, the data have the scale necessary to consider whether the determinants of post-compulsory schooling decisions vary by gender, a particularly important issue given the differential education participation rates of males and females (e.g. in this cohort, females are about 10 percentage points more likely to go on to higher education in the UK than males), and the gendered choices of occupation (see, e.g. Bertrand, 2011). The work will, therefore, provide recent empirical evidence from England on gender differences in the determinants of education choices.

This study examines the relationships between parents' and children's occupations to determine the existence of intergenerational transmission of occupations.

To achieve the purpose of the study, four predominant occupational types based on the International Standard Classification of Occupations (ISCO): agriculture and forestry; services and sales; managerial/administrative; and professional/technical are examined using data from the latest (7th) round of the Ghana Living Standards Survey (GLSS). Two complementary methods involving the correlational analysis and regression-based techniques are used.

The findings indicate the presence of parental influences on children's occupational choices (same-sex and cross-sex) in the Ghanaian labour market, with maternals and same-sector effects having a more substantial influence on children's occupational choices, especially in agriculture and forestry, and services and sales sectors.

The lack of panel data in observing children's occupational choices over time makes it challenging to assume direct causation.

The study is the first to highlight the relative strengths of paternal influence (father's effect) and maternal impact (mother's effect) on sons' and daughters' occupational choices in Africa. The findings have several implications for intergenerational (im)mobility of occupations including how policymakers can make career guidance more effective.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2022-0705

The general objective of this paper is to investigate the mathematics achievement of middle grade students in Pakistan. Specifically: to determine whether mathematics achievement varies systematically across students and schools; to what extent the mathematics curriculum and frameworks are implemented in schools; to what extent gender and location account for differences in mathematics achievement (at item and test scores levels); to what extent student demographics, home background, and homework variables predict mathematics achievement; to what extent schools' physical and academic resources predict mathematics achievement; and to what extent student‐ and school‐level variables interact to predict achievement indirectly.

The approach was to undertake a quantitative survey of 14,440 students from 770 schools across the country. The analytic strategy included item‐level Rasch analysis, DIF analysis across gender and regional location, and MLM analysis to test various student‐ and school‐level models.

Rasch analysis indicated that students were able to pass low‐rigour items requiring simple mathematical skills. The DIF analysis indicated that items favouring female students in either content domain belonged to knowledge of concepts to recall basic facts, terminologies, numbers, and geometric properties. Items favouring male students in either domain belonged to the problem solving level. MLM analysis revealed that at the student level, gender, location, and some home background and homework variables contributed towards mathematics achievement. At the school level, availability of learning resources and better physical facilities were found to be associated with increase in achievement scores.

Only a few major variables with policy and research implications were tested to keep the interpretations clear and simple. The next stage of this study could examine the more complex pattern of relationships and interactions among relationships for subgroups.

The study has implications for a review of the gender gap in school enrolment, the national curriculum for mathematics, homework policy, the role of regional languages as a medium of instruction in schools, the provision of school resources, and learning aids in schools.

The paper shows that the estimated models were successful in explaining the variation in average achievement in terms of proportion of variance explained and significance of estimates of the effects.

Understanding the factors and processes facilitating entry into science related occupations is a first step in developing effective interventions aiming to increase a skilled science base. This paper intends to address individual as well as family and school related influences on uptake of science, engineering, technology and health related careers.

Drawing on data collected for two British birth cohorts: the 1958 National Child Development Study and the 1970 British Cohort Study, a developmental‐contextual model of career development is tested, comparing the experiences of over 17,000 men and women during the transition from school to work.

The findings suggest that there is a persisting gender imbalance both in terms of aspirations and occupational attainment. Interest and attachment to a science related career are formed early in life, often by the end of primary education. School experiences, in particular, are crucial in attracting young people to a career in science.

Much remains to be done to improve intake in science related occupations, especially regarding recognition and access to science related courses at school, and rendering school experiences more relevant and engaging for young people.

Comparing career transitions in two longitudinal cohorts allows the study of careers over time, linking early influences to later outcomes, and enables the identification of stable and changing patterns in antecedents and outcomes.

In an examination of class inequality in education in the Republic of Ireland over the period from the late 1990s to the mid 2000s, this chapter reveals class inequality in educational outcomes within social groups as well as across social groups, and places particular attention on the non-manual group. Within this group, a clear distinction can be made between those classified as having an ‘intermediate non-manual’ position and those classified as holding an ‘other (lower) non-manual’ position in terms of their educational performance at secondary education and subsequent access to higher education, which persists over the period. This finding has been revealed by disaggregating the non-manual group into the ‘intermediate non-manual’ and ‘other (lower) non-manual’ groups, a practice that has not been used by analysts in the past in the Irish context. In this chapter, we engage with theories of class which offer a framework for understanding educational inequality and in particular, why members of the same social class groups experience different educational outcomes.