educineq (0.1.0)

0 users

Compute and Decompose Inequality in Education.

http://cran.r-project.org/web/packages/educineq

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) . 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 Theils 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.

Maintainer: Vanesa Jorda
Author(s): Vanesa Jorda [aut, cre], Jose Manuel Alonso [aut]

License: GPL (>= 2)

Uses: flexsurv, ineq

Released 3 months ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of educineq yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for educineq on google, google scholar, r-help, r-devel.

Visit educineq on R Graphical Manual.