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This empirical study aims to examine the COVID impact on the rate of return to schooling in 20 US industries.

An extended Mincer earnings equation with the COVID dummy variable and dummy interactive terms is used to examine the COVID effect on the rate of return to schooling for different industries. We use Heckman selection model to account for sample selection bias.

During COVID years, the change in the wage differential between college-and-above and below-college workers is different for industries, which leads to different changes in the rate or return to schooling among the 20 industries. During COVID, the rate of return to schooling increased for seven industries, decreased for seven industries and remained the same for six industries.

There is a lack of empirical tests of recession effects on the rate of return to schooling focusing on industry differentials. This study fills the research gap in this field. Our results will contribute to the ongoing discussion of the COVID impact on wages and returns from human capital investment.

Young 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.

The 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.

The 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.

This is the first attempt to bring together surveys from so many countries to create a global data set on the returns to education.

The 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.

The 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.

Return 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.

Return 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.

Wage 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.

The higher returns to schooling for females imply an investment in girl's education should be a development priority.

The 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.

The purpose of this paper is to estimate the returns to rural schooling in China, addressing both endogeneity in rural individuals’ schooling and self-selection into off-farm work.

This paper exploits geographical proximity to rural secondary schools to create instrumental variables (IV) for individuals’ years of schooling. It addresses both endogenous schooling and self-selection using the two-step procedure developed in Wooldridge (2002, p. 586).

The preferred IV estimate of schooling returns, 7.6 percent, is considerably higher than most previous estimates found in rural China.

This paper is among the few papers that examine returns to rural schooling in China while simultaneously addressing both endogeneity in individuals’ schooling and self-selection into off-farm work. Its findings suggest that rural education in China is potentially able to generate a respectable level of economic returns if policies are designed to provide greater school accessibility to rural individuals.

The purpose of this study is to provide the estimates of returns to schooling using consistent methodology and comparable set of data for a long time horizon for a country undergoing economic transition. Second, the paper aims to verify if returns to schooling in Poland were pro-cyclical or counter-cyclical.

The paper is based on the human capital theory in estimating the wage returns to years of schooling controlling additionally for unemployment rates at a regional level. Data come from a collection of Polish individual LFS waves for the period 1995–2017.

Returns to schooling in Poland were increasing until 2006 and declining afterwards unveiling the supply side effects domination. The estimates suggested counter-cyclicality of returns in Poland.

Using LFS data made it impossible to control for ability bias therefore it is possible that the estimates are somewhat biased (the literature however suggests that the extent of the bias is likely to be small). It might still be argued that using consistent methodology for the whole period of analysis still offers valuable insight into returns evolution.

This paper finds a reversal of returns trend after 2006 suggesting the period after accession to EU exhibited a supply side effect domination. The findings on counter-cyclicality of returns to education in Poland have not yet been documented in the literature.

This paper aims to analyze the rates of returns on education in China and in the process raises issues relevant to the management of China’s system of education. In the ongoing great transformation period of China, the rising rates of returns on education may have been indicators reflecting China’s social progressiveness. However, very little research efforts have been devoted to the study of the impacts of such factors as geographical regions and genders, etc. The authors hope to fill these gaps in the literature.

The China Health and Nutrition Survey (CHNS) database is used for this study (University of North Carolina). The longitudinal nature of the data sets covering 1989, 1991, 1993, 1997, 2000, 2004, 2006, 2009 and 2011 provides a good basis for comparative analyses. The theory is grounded upon the Mincer equations through which econometric estimates are then made.

Disparities in returns on education are found between genders and across geographical regions. The regression results show that the women’s returns on education are consistently higher than those of men. However, the scales of such gender differences differ between the rural and urban areas: smaller for rural area and larger, more significantly so for urban. Additionally, we have found that the rates of returns on education in China have risen significantly over these years, and these increases have been largely due to the effects of institutional reforms. The urban-rural gap in their degrees of market orientation has contributed to the differences in their rates of returns on education. The analyses also suggest that foreign direct investment inflows, international trade and the increasing competitiveness from private enterprises render human capital more valuable to urban businesses. In case of the rural areas, a lack of incentive system tends to have contributed to the lower rates of returns on education.

The authors have presented evidence on the trends in the rates of returns on education during China’s critical transition period. Analyses of the possible reasons behind the differential rates of returns are provided. These findings are helpful for the government to shape their policies towards education. For instance, the government should give more emphasis to vocational schooling due to their significantly higher rates of returns.

We study how the returns to education in the adult labor market affect children's school enrollment. We show that when families are liquidity constrained, the expected relationship between higher returns and children's schooling is ambiguous. When liquidity constraints matter, the relationship can only be assessed empirically. For African-South African liquidity-constrained households, we find a positive relationship that is quite robust.

The aim is to study the impact of schooling on between-groups wage inequality beyond the lens of the standard approach in the literature.

Simple econometric theory is used to make the main point of the paper. Supporting empirical evidence is also presented.

Disregarding the persistence of current earnings implies a bias in the estimation of the wage return to schooling both at labour-market entry and in the rest of the working life.

The use of current earnings as a dependent variable in wage-schooling models may be problematic and requires specific handling.

The impact of schooling on the between-groups dimension of wage inequality may be different than previously thought.

The paper is the first to show that, when current earnings are used as a dependent variable, the identification of a wage-schooling model with the standard (time-invariant external instrument-variable) approach may lead to misleading conclusions.

This paper addresses revolutionary changes in the education, fertility and market work of U.S. families formed in the 1870s–1920s: Fertility fell from 5.3 to 2.6; the graduation rate of their children increased from 7% to 50%; and the fraction of adulthood wives devoted to market-oriented work increased from 7% to 23% (by one measure).

These trends are addressed within a unified framework to examine the ability of several proposed mechanisms to quantitatively replicate these changes. Based on careful calibration, the choices of successive generations of representative husband-and-wife households over the quantity and quality of their children, household production, and the extent of mother’s involvement in market-oriented production are simulated.

Rising wages, declining mortality, a declining gender wage gap, and increased efficiency and public provision of schooling cannot, individually or in combination, reduce fertility or increase stocks of human capital to levels seen in the data. The best fit of the model to the data also involves: (1) a decreased tendency among parents to view potential earnings of children as the property of parents and (2) rising consumption shares per dependent child.

Greater attention should be given the determinants of parental control of the work and earnings of children for this period.

One contribution is the gathering of information and strategies necessary to establish an initial baseline, and the time paths for parameters and targets for this period beset with data limitations. A second contribution is identifying the contributions of various mechanisms toward reaching those calibration targets.

Seeks to answer the question: “do certain occupations offer lower financial benefits to acquiring years of formal schooling than others?”.

This study uses data from the 2003 Current Population Survey to estimate rates of return to education across occupational categories in the US labor market. The wage model employed is based on the human capital model of income determination.

The analysis suggests that additional schooling has a positive impact on the weekly earnings of men and women in both white‐ and blue‐collar occupations – with the highest returns accruing to sales, managerial, and professional workers. Although returns are generally higher for white‐collar workers, no link is found between the returns to schooling and the propensity of occupations to be comprised of “primary” or “secondary” sector jobs.

Supports the notion that additional schooling increases the earnings of men and women in both blue‐ and white‐collar occupations.