| Absolute | Relative | Absolute | Relative | |
|---|---|---|---|---|
| Ex-ante Conditional inference tree | iop_ante_ctree_gini_abs | iop_ante_ctree_gini_rel | iop_ante_ctree_mld_abs | iop_ante_ctree_mld_rel |
| Ex-ante Conditional inference forest | iop_ante_cforest_gini_abs | iop_ante_cforest_gini_rel | iop_ante_cforest_mld_abs | iop_ante_cforest_mld_rel |
| Ex-post Transformation tree | iop_post_trafotree_gini_abs | iop_post_trafotree_gini_rel | iop_post_trafotree_mld_abs | iop_post_trafotree_mld_rel |
Augmented data download
Variables
- outcome: Variable in terms of which inequality is computed, either income or consumption.
- gini: Gini index capturing the extent to which the outcome is unevenly distributed between individuals in the corresponding country-year. In the absence of negative incomes, values of the index theoretically lie between 0 (everyone has the same amount) and 1 (a single person has everything while everyone else have nothing).
- mld: Mean logarithmic deviation of the outcome. This measure of inequality is more sensitive than the Gini index to differences at the tails of the distribution. It equals zero in case of perfect equality but has no upper bound.
- iop_[…]: Inequality of opportunity (IOp) estimates based on different approaches. The complete names of these variables describe the estimation process according to the following modalities (see correspondence table below).
- Concept of inequality of opportunity (ex-ante or ex-post).
- Machine learning method used to isolate unfair inequality in the outcome distribution (conditional inference tree, forest, or transformation tree).
- Index used to quantify inequality in this counterfactual distribution (Gini or MLD).
- Whether inequality of opportunity is expressed in absolute terms or relative to the corresponding overall inequality index.
- main_factor: Inherited characteristic contributing to the highest extent to inequality of opportunity in the corresponding country-year.
- iop_data: Household survey on which the above estimates were computed.
- mobility_ira: Intergenerational income rank association, i.e., correlation coefficient capturing the strength of the association between parents’ percentile income ranks and their children’s, from the bottom 1% to the top 1% of each generation’s income distribution.
- source_ira: Research paper which estimated the corresponding intergenerational income rank association.
- mobility_ige: Intergenerational income elasticity, i.e., regression coefficient between the log income of individuals and that of their parents, capturing the expected percentage change in individuals’ income for a 1% increase in that of their parents.
- source_ige: Research paper which estimated the corresponding intergenerational income elasticity.