INVESTMENT RETURNS ANALYSIS OF EDUCATION IN EAST JAVA

Education is one of the tools in human capital investment because it is considered important in producing an adequate return to schooling. At the East Java Province in 2015 and 2018 the highest education was marked by a difference in the number of each level of education, especially at the tertiary level, which was still relatively low. So, that will be affect return to schooling received by the workforce. This research uses cross section data sourced from SAKERNAS data in 2015 and 2018, with Ordinary Least Square (OLS). The results of OLS in 2015 and 2018 shown if the level of education, age, worked training, worked experience, sex, and location have a significant effect on income. The results of the OLS regression are then used to calculated return to education based on education level, sex, and location. The results shown if the education achieved produce a rate of return that is always increasing at every level of education while return to schooling based on gender is a difference in junior and university education, in rural areas return to schooling at the primary school is higher than in the urban area.Keywords: Gender, Education, Return To Education, LocationJEL: J24, I21

A data set of comparable estimates of the private rate of return to schooling in the world, 1970–2014

PurposeYoung people experience lower employment, income and participation rates, as well as higher unemployment, compared to adults. Theory predicts that people respond to labor market information. For more than 50 years, researchers have reported on the patterns of estimated returns to schooling across economies, but the estimates are usually based on compilations of studies that may not be strictly comparable. The authors create a dataset of comparable estimates of the returns to education.Design/methodology/approachThe data set on private returns to education includes estimates for 142 economies from 1970 to 2014 using 853 harmonized household surveys. This effort holds the constant definition of the dependent variable, the set of controls, sample definition and the estimation method for all surveys.FindingsThe authors estimate an average private rate of return to schooling of 10%. This provides a reasonable estimate of the returns to education and should be useful for a variety of empirical work, including critical information for youth.Originality/valueThis is the first attempt to bring together surveys from so many countries to create a global data set on the returns to education.

Gender Differences in the Returns to Education over Time for Married Couples

Using US Census data from 1960 to 2000 and American Community Survey data from 2010, this paper analyzes gender differences in the return to education for married couples. Results from this analysis show that the return to schooling has increased over time for both genders; however, the relative return to schooling for females has fallen since the 1990s. In 2010, married women who are under age 35 and are in the top 20 percent of the income distribution had lower returns to schooling compared to men. These results are consistent with several demographic shifts that occurred during the last half of the 20th century.

Estimating the economic return to education in Ghana: a gender-based perspective

PurposeThe increasing rate at which individuals, especially, females in Ghana are seeking higher education calls for an estimation of the returns to schooling and education in Ghana.Design/methodology/approachThe study employs the Mincer equation to a representative cross-sectional micro-data from Ghana using OLS and instrumental variable (IV) methodologies. The paper uses spouse's education as instruments in the IV estimation.FindingsReturn to schooling was found to be higher for females than males, likewise, membership of an old student associations and location of the household. Returns to education increases as the level of education rises whilst the rate of returns initially increases but fall as labour market experience rises. The study also found that the rates of return to education were higher for Christian, followed by Muslim and believers of other lesser-known religion in Ghana.Research limitations/implicationsReturn to schooling was found to be higher for females than males. Likewise, individuals who are members of an old student association and are in urban areas were found to have a higher return to schooling than individuals who are not members of an old student association and are in rural areas. Returns to education increases as the level of education rises whilst the rate of returns initially increases but fall as labour market experience rises. The study also found that the rates of return to education were higher for Christian, followed by Muslim and believers of other lesser-known religion in Ghana.Practical implicationsWage determination process is different for males and females, across religion and residency. The higher returns to schooling for females imply education is a good investment for women and girls and should be a development priority.Social implicationsThe higher returns to schooling for females imply an investment in girl's education should be a development priority.Originality/valueThe paper extends the existing literature by focussing on the role of religion, old student's association (alma mater) and gender on the differential earning returns to schooling.

Priorities for the child public health response to the COVID-19 pandemic recovery in England

Child health is at risk from the unintended consequences of the COVID-19 response and will suffer further unless it is given proper consideration. The pandemic can be conceived as a systemic shock to the wider determinants of child health, with impacts on family functioning and income, access to healthcare and education. This article outlines COVID-19 impacts on children in England. Key priorities relate to the diversion of healthcare during lockdown; interruption and return to schooling; increased health risks and long-term impacts on child poverty and social inequalities. We provide an overview of mitigation strategies and policy recommendations aimed to assist both national and local professionals across child health, education, social care and related fields to inform the policy response.

The Return to Education in the Mid-Twentieth Century: Evidence from Twins

What was the return to education in the United States at mid-century? In 1940, the correlation between years of schooling and earnings was relatively low. In this article, we estimate the causal return to schooling in 1940, constructing a large linked sample of twin brothers to account for differences in unobserved ability and family background. We find that each additional year of schooling increased labor earnings by approximately 4 percent, about half the return found for more recent cohorts in twins studies. These returns were evident both within and across occupations and were higher for sons from lower socio-economic status families.

Estimating the Returns to Schooling: A Comparison of Fixed Effects and Selection Effects Models for Twins

Strong empirical links exist between the number of years spent schooling and earnings. How­ever, the relationship may be masked due to the effect of unobserved factors that influence both wages and schooling. Two of the main econometric models, namely fixed-effects and se­lection-effects, used to analyse returns to schooling were compared using monozygotic and di­zygotic twins’ datasets in Ghana. The efficiency of the models was assessed based on the stan­dard errors associated with the return to schooling estimates. Goodness of fit measures was used as a basis for comparison of the performance of the two models. The results revealed that based on their standard errors, the regression estimates from the selection effects model (MZ = 0.1014±0.0197; DZ = 0.0947±0.0095) were more efficient than the regression estimates from the fixed-effects model (MZ = 0.1115±0.0353; DZ = 0.082±0.0127). However, the AICc values of the fixed effects model (MZAICc = 57.8 and DZAICc = 105.4) were smaller than the AICc values of the selection effects model (MZAICc = 151.6 and DZAICc = 221.6). Findings from the study indicate that, although both models produced consistent estimates of the economic returns to schooling, the fixed effects model provided a better fit to the twins’ data set.