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This study is concerned with the separate output effects of female and male education, as well as output effects of the educational gender gap. Several recent empirical studies have examined the gender effects of education on economic growth or on output level using the much exploited, familiar cross-country data. This paper aims to undertake a similar study of the gender effects of education on economic growth using a panel data across the provinces of Turkey for the period 1975-2000.

The theoretical basis of the estimating equations is the neoclassical growth model augmented to include separate female and male education capital and health capital variables. The methodology the authors use includes robust regression on pooled panel data controlling for regional and time effects. The results are found to be robust to a number of sensitivity analyses, such as elimination of outlier observations, controls for simultaneity and measurement errors, controls for omitted variables by including regional dummy variables, steady-state versus growth equations and different samples of developed and less-developed provinces of Turkey.

The main findings indicate that female education positively and significantly affects the steady-state level of labor productivity, while the effect of male education is in general either positive or insignificant. Separate examination of the effect of educational gender gap was to reduce output.

As evident in the literature, there is controversy surrounding the gender effects of education on growth. This paper provides new evidence on this issue from the perspective of a single country rather than a cross-country viewpoint.

The purpose of this paper is to investigate the relationship between educational mismatch and labor earnings in Brazil, taking into account individual fixed effects.

The empirical analysis employs longitudinal data and information provided by job analysts about the schooling required for each occupation. The latter of which is used to classify workers as undereducated, overeducated, or adequately matched. Estimates include individual fixed effects to control for time-invariant unobserved heterogeneity.

Evidence indicates that one more year of overeducation increases labor earnings, but only half as strong as one more year of required schooling. The estimated effects on years of undereducation are negative, but undereducated workers earn more than adequately matched workers with the same level of education. Although, in particular, the incidence of undereducation in Brazil is much higher than reported for developed countries, the impact of over- and undereducation does not differ.

The fixed effects approach only controls for unobservable factors that are time-invariant. Also, much lower impacts using fixed effects may be due in part to attenuation bias as a consequence of measurement errors.

This study contributes to the scarce literature on the consequences of overeducation and undereducation for labor earnings in developing countries, providing estimates that take into account individual fixed effects.

The purpose of this paper is to examine spillover effects across differently educated workers. For the first time, the authors consider “reverse” spillover effects, i.e. spillover effects from secondary-educated workers with dual vocational education and training (VET) to tertiary-educated workers with academic education. The authors argue that, due to structural differences in training methodology and content, secondary-educated workers with VET degrees have knowledge that tertiary academically educated workers do not have.

The authors use data from a large employer-employee data set: the Swiss Earnings Structure Survey. The authors estimate ordinary least squares and fixed effects panel-data models to identify such “reverse” spillover effects. Moreover, the authors consider the endogenous workforce composition.

The authors find that tertiary-educated workers have higher productivity when working together with secondary-educated workers with VET degrees. The instrumental variable estimations support this finding. The functional form of the reverse spillover effect is inverted-U-shaped. This means that at first the reverse spillover effect from an additional secondary-educated worker is positive but diminishing.

The results imply that firms need to combine different types of workers because their different kinds of knowledge produce spillover effects and thereby lead to overall higher productivity.

The traditional view of spillover effects assumes that tertiary-educated workers create spillover effects toward secondary-educated workers. However, the authors show that workers who differ in their type of education (academic vs vocational) may also create reverse spillover effects.

Responding to the needs of current education developments, presents a comprehensive framework specifically for the analysis of educational policies and uses different policy cases in Hong Kong to illustrate how it can be applied effectively. The framework consists of four frames and each suggests the major considerations that need to be focused on in analysing the characteristics of educational policy. The first frame analyses the background and underlying principles related to the development of educational policies. The second frame examines the policy formulation process. The third frame investigates the implementation process and the related gaps between implementation and planning. The last frame focuses on the effects of policies. By using these four frames, the policy analysts might have a more comprehensive perspective for critically reviewing current educational policies. The framework can contribute to the ongoing discussion and development of educational policies, not only in Hong Kong, but also in an international context.

The focus is the interplay of cognitive capabilities (mathematical understanding and heuristic problem solving) and learning from feedback. Furthermore, the authors analyze the role of individual factors in designing appropriate feedback systems for complex decision-making situations. Based on a learning model the purpose of this paper is to present an experimental study analyzing the feedback effectiveness in a repeated complex production planning task. Referring to individual characteristics in terms of educational background and problem solving capabilities of the decision maker the authors compare different forms of feedback systems.

The authors performed four experiments bi-weekly based on a realistic production planning situation. Participants received – depending on the treatment – different types of feedback concerning the final outcomes of the production plans. For testing the hypotheses, the authors conducted ANCOVAs and additional post hoc tests for each subgroup to explore the effects of different types of feedback on the subgroups’ decision-making performance.

The authors show that feedback information is not always helpful, but due to acquired knowledge and problem solving capabilities can even be harmful. The authors also show that, depending on the decision maker’s individual characteristics and her past performance, the type of feedback is crucial for the learning process.

The study provides important information about feedback design taking individual characteristics of decision makers (educational background, work experience) into account. Applying the results of the study can increase decision-making performance and enhance learning of production planning tasks.

The findings extend previous literature reporting that the performance in complex decision-making tasks depends on educational background and on the ability to cope with the phenomena of cognitive load, working memory limitations and the capability to utilize relevant heuristics to prevent information overload. Some of our results, e.g., the negative impact of non-financial feedback of high-performing economists, contradict the general findings in the literature.

The purpose of this paper is to find econometric evidence of a negative influence of educational mismatch on either wage or job satisfaction, once potential sources of bias are adequately considered. The analysis attempts to answer the question: do wage or job satisfaction really depends on educational mismatch?

The paper uses a panel data of 1690 early career Master graduates from Università della Svizzera italiana (USI), Switzerland. First, a wage equation with dummies representing educational mismatch and other control variables is estimated. On the other hand, a regression in which the dependent variable is the degree of self-assessed job satisfaction is run in order to identify the effect of mismatch on job satisfaction.

The analysis finds no robust econometric evidence of a negative influence of educational mismatch on either wage or job satisfaction, once potential sources of bias are adequately considered.

The estimates have been conducted on a specific sub-population, i.e. a limited sample of Master graduates from a single Swiss university in the years 2006–2016; it is then not straightforward that results can be generalised to the whole population.

The influence of educational mismatch on job satisfaction has been extensively studied in the previous literature; however, most of the existing studies are likely to report biased results due to unobserved heterogeneity and measurement error. The authors address these two serious econometric issues by proposing a new instrumental variable for a self-assessed mismatch, i.e. time spent in job search after graduation.

The purpose of this paper is to define the added value of facility management (FM) in general and to develop a typology of facility services based on their added value in the educational environment.

This paper is based on a literature review and first assesses the different aspects of FM added value. The different variables and relations between the use of facility services and their effects on the educational achievement are then conceptualised and studied.

Research shows that FM added value is the customer perceived trade‐off between the effects of the use of facility services on the outcome of their processes, its costs and risks. On this basis, a typology of facility services was constructed around their level of fixity and their influence on the learning outcome.

The typology strongly indicates for FM when to engage in the decision‐making process relating to the educational environment in order to contribute to education. Also the typology is useful for deriving priorities for adjusting the current use situation of facility services to enhance their effectiveness in both a time and financially efficient manner.

This paper operationalises the concept of FM added value and provides several hypotheses and firm recommendations for further research to maximise the contribution of FM. The paper also presents a practical framework for evidenced‐based decision making on the use of facility services in the educational environment. It thus offers opportunities for FM to support the future learning landscape.

The primary purpose of this paper is to empirically investigate the impact of educational attainment on crime rates across 33 Indian states over the period 2001 to 2013. This paper also examines the role of various macroeconomic, socio-economic and demographic factors in determining the variation of crimes in India.

First, this paper provides a representative theoretical model and discusses the possible relationship between crime and education. Second, the paper applies a dynamic panel data (DPD) model to extract more precise, unbiased and reliable estimates of the effect of education in abating different crime rates. The main advantage of using the dynamic panel model is to address the problem of endogeneity in some regressors and capture the time persistent effect of education on crime.

Empirical findings reveal that a 1% increase in gross enrolment ratio leads to the reduction of total crime by 8%. However, a unique finding identifies a positive association between tertiary education and economic crime. This finding further goes against the general belief that criminals tend to be less educated than non-criminals.

This paper recommends that instead of punishment and mandatory law enforcement for offenders, increase in government expenditure and different educational attainment ratios can go a long way to combat crime in India, which has posed a serious threat to the stability of society. Furthermore, utilizing the information on offenders' educational attainment in examining the crime rates can be a future research agenda for policymakers.

This study contributes to the empirical debate of ‘crime-education nexus’ by examining the role of education on crime in India. This study is the first of its kind that focuses on the aspects of crime and education more recently and investigates the relationship between crime and education due to the recent changes in educational attainment ratios and crime rate.

A structural model was proposed and tested concerning the impact of background and psycho‐social variables on high school seniors’ (N = 2,731) reported substance use and educational outcomes. The findings indicated that interpersonal variables (e.g., school adjustment, delinquency, relationships with parents and community) primarily affected reported substance use. Intrapersonal variables (e.g., self‐concept, attitudes toward school), however, were unrelated to substance use. Moreover, background, psycho‐social variables and substance use were also related to a variety of student perceptions about their educational experiences and future aspirations. The results are discussed in terms of their implications for school personnel working with high school students.

It is consensus among the social scientist that education plays a vital role in human capital formation. The purpose of this paper is to explore the issue of education transmission across generations.

Primary data were collected from 613 households which were selected by applying the systematic random sampling technique. By using education as a continuous variable, the human capital base model has been estimated. These models have been estimated by applying the OLS technique.

The study finds persistence in education across generations and inequality in educational achievements. Mother’s education is found to be more important for daughters in the gender analysis but for combined effect father’s education has been observed stronger than mothers. The models with interaction terms have shown a stronger son-father and daughter-mother association in educational transmission. Moreover, findings exhibit that females are more educated as compared to males.

This study is providing a new dimension to the social scientist about the importance of education especially in a developing country like Pakistan.

The results of this study provide the guidelines to the policy makers and giving them the direction about the incremental change of the human capital through the intergenerational transmission mechanism.

The findings of this study can be used for upgrading of the social set up of a developing country like Pakistan.

This is an original effort and the first time this type of study is conducted in Pakistan.