In the current debate on the relationship between inequality in income distribution and growth one of the possible links works through the access to education. Starting from on optimal demand for education, where the years of education depend on family income among other things, we derive two testable predictions in the analysis of aggregate data on school enrolments: a negative (linear) dependence of enrolment rates on Gini concentration index on incomes distribution; and a positive dependence on public resources invested in education and/or on skill premium in the labour market. These predictions are tested on a (unbalanced) panel of 108 countries for the period 1960-95. The main finding of this analysis is that, once we control for the degree of development with the (log of) per capita output, financial constraints seem mainly relevant in limiting the access to secondary education. However, when considering gender differences, there is evidence that female participation in education is more conditioned by family wealth, in some cases starting from primary education. Finally, there is weak evidence that public resources spent on education raise the enrolment rates.
Inequality in incomes and access to education. A cross-country analysis (1960-95) / D.Checchi. - In: LABOUR. - ISSN 1121-7081. - 17:2(2003), pp. 153-201. [10.1111/1467-9914.00226]
Inequality in incomes and access to education. A cross-country analysis (1960-95)
D. ChecchiPrimo
2003
Abstract
In the current debate on the relationship between inequality in income distribution and growth one of the possible links works through the access to education. Starting from on optimal demand for education, where the years of education depend on family income among other things, we derive two testable predictions in the analysis of aggregate data on school enrolments: a negative (linear) dependence of enrolment rates on Gini concentration index on incomes distribution; and a positive dependence on public resources invested in education and/or on skill premium in the labour market. These predictions are tested on a (unbalanced) panel of 108 countries for the period 1960-95. The main finding of this analysis is that, once we control for the degree of development with the (log of) per capita output, financial constraints seem mainly relevant in limiting the access to secondary education. However, when considering gender differences, there is evidence that female participation in education is more conditioned by family wealth, in some cases starting from primary education. Finally, there is weak evidence that public resources spent on education raise the enrolment rates.File | Dimensione | Formato | |
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