educineq - Compute and Decompose Inequality in Education
Easily compute education inequality measures and the
distribution of educational attainments for any group of
countries, using the data set developed in Jorda, V. and
Alonso, JM. (2017) <DOI:10.1016/j.worlddev.2016.10.005>. The
package offers the possibility to compute not only the Gini
index, but also generalized entropy measures for different
values of the sensitivity parameter. In particular, the package
includes functions to compute the mean log deviation, which is
more sensitive to the bottom part of the distribution; the
Theil’s entropy measure, equally sensitive to all parts of the
distribution; and finally, the GE measure when the sensitivity
parameter is set equal to 2, which gives more weight to
differences in higher education. The decomposition of these
measures in the components between-country and within-country
inequality is also provided. Two graphical tools are also
provided, to analyse the evolution of the distribution of
educational attainments: The cumulative distribution function
and the Lorenz curve.
