Race, sex, and economic returns to education

1982 ◽  
Vol 4 (1-2) ◽  
pp. 111-139
Author(s):  
Mark Fossett ◽  
Omer R. Galle
Keyword(s):  
Returns To Education ◽  
Economic Returns

scholarly journals Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment

2001 ◽  
Vol 91 (4) ◽  
pp. 795-813 ◽  
Author(s):  
Esther Duflo
Keyword(s):  
Labor Market ◽  
Primary School ◽  
Returns To Education ◽  
School Construction ◽  
Average Increase ◽  
Economic Returns ◽  
Indonesian Government ◽  
Percent Increase ◽  
Policy Experiment ◽  
Market Consequences

Between 1973 and 1978, the Indonesian government engaged in one of the largest school construction programs on record. Combining differences across regions in the number of schools constructed with differences across cohorts induced by the timing of the program suggests that each primary school constructed per 1,000 children led to an average increase of 0.12 to 0.19 years of education, as well as a 1.5 to 2.7 percent increase in wages. This implies estimates of economic returns to education ranging from 6.8 to 10.6 percent. (JEL I2, J31, O15, O22)

scholarly journals The Surprising Impact of High School Math on Job Market Outcomes

2013 ◽  
pp. 1-4 ◽  
Author(s):  
Jonathan James
Keyword(s):  
High School ◽  
Formal Education ◽  
College Graduates ◽  
Returns To Education ◽  
Economic Returns ◽  
Job Market ◽  
Market Outcomes ◽  
Level Of Education ◽  
Future Earnings ◽  
High School Math

The economic returns to education are well documented. It is also well-known that college graduates with certain majors will earn more than others and find it easier to land a job. But surprisingly, the courses students take in high school also make a difference, when the courses are mathematics. Even among workers with the same level of education, those with more math have higher wages on average and are less likely to be unemployed. These findings suggest that even students ending their formal education after high school can increase their future earnings by investing in more math courses while in high school.

scholarly journals Economic Returns to Education in France: OLS and Instrumental Variable Estimations

2013 ◽  
Vol 18 (2) ◽  
pp. 51-63 ◽  
Author(s):  
Sajjad Haider Bhatti ◽  
Jean Bourdon ◽  
Muhammad Aslam
Keyword(s):  
Labor Market ◽  
Least Squares ◽  
Instrumental Variable ◽  
Returns To Education ◽  
Economic Returns ◽  
Two Stage ◽  
Endogeneity Bias ◽  
Returns To Schooling ◽  
Explanatory Factors ◽  
New Instruments

This article estimates the economic returns to schooling as well as analyzing other explanatory factors for the French labor market. It addresses the issue of endogeneity bias and proposes two new instruments for use in the instrumental variable two-stage least squares technique. Our results show that the proposed instruments are relevant and adequate, based on evidence from the available literature. After using the proposed instruments, we find that the OLS coefficients for schooling are biased downwards. Finally, we choose between the two proposed instruments.

Econometric Analysis of Returns to Education of Rural and Urban Labour Markets Workers in Tamil Nadu

2020 ◽  
pp. 336-344
Keyword(s):  
Wage Inequality ◽  
Tamil Nadu ◽  
Returns To Education ◽  
Labour Markets ◽  
Wage Distribution ◽  
Rural Market ◽  
Rural And Urban ◽  
Rate Of Returns ◽  
Education Groups ◽  
Quantile Regression Method

The objective of this study was to empirically evaluate the returns to education of rural and urban labour markets workers in Tamil Nadu using the IHDS data with appropriate Econometric models. First, the present study estimated the earning functions of the rural and urban market's workers by OLS technique and standard Mincerian earning functions. Secondly, the quantile regression method was also used to examine the evolution of wage inequality. The findings of the study showed that the effects of education and experience on the log of hourly wages were positive, and these coefficients were statistically significant. The returns to education increased with the level of education and differed among the workers of rural and urban labour markets. The results showed that the rates of returns to primary, middle and higher secondary were higher in the urban market, whereas those of secondary and graduation were higher in the rural market. The study revealed that the effect of education was not the same across the rural and urban wage distribution. The rate of returns differed considerably within education groups across different quantiles of the wage distribution.

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