elc is a function to graph the Lorenz curve of education for any group of
countries using the set of estimates developed in Jorda and Alonso (2017).
elc(countries, init.y, final.y, database, M = 5000)
character vector with the country codes of the countries
to be used. Some macro-regions are already defined and can be used
instead of the country codes:
the first year in which the function is calculated. Available years are 1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005, 2010.
the last year in which the function is calculated Available years are 1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005, 2010.
population subgrup for which the function is calculated. The following options are available:
size of the simulated sample (default
We use the set of estimates developed in Jorda and Alonso (2017), where
the generalized gamma distribution (Stacy, 1962) is used to model the time that
individuals attend school until they complete the educational cycle or decide to
drop out. To accommodate time and country varying parameters, the distribution of education
of each country and year is estimated by non-linear least squares (see, Jorda and
Alonso (2017) for further description on the estimation strategy).The Lorenz curve
is computed from a synthetic sample of size
M of the distribution of
education of the specified group of countries.
The sample is obtained by Monte Carlo simulation using the mixture of the national
distributions, weighted by their population shares.
elc returns a graph of the evolution of the Lorenz curve of education
over the specified period.
Cowell, F. (2011). Measuring inequality. Oxford University Press.
Jorda, V. and Alonso, J.M. (2017). New estimates on educational attainment using a continuous approach (1970-2010), World Development, 90, 281 - 293. http://www.sciencedirect.com/science/article/pii/S0305750X16305010
Stacy, E. W. (1962). A generalization of the gamma distribution. Annals of Mathematical Statistics, 33, 1187 - 1192.
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