Suchergebnisse

This data article describes the original data, the sample selection process and the variables used in Andreoli and Fusco (Andreoli and Fusco, 2019) to estimate gap curves for a sample of European countries. Raw data are from 2011 roaster of EU-SILC, cross-sectional sample of module "intergenerational transmission of disadvantage". This article reports descriptive statistics of the using sample. It also discusses the algorithm adopted to estimate the main effects and details the content of additional Stata files stored on the online repository. These additional files contain raw estimates from bootstrapped samples, which form the basis for estimating gap curves and their variance-covariance matrices. The data article also reports representations of gap curves for all 16 selected countries.

We develop a decomposition of changes in household income distributions by factor components to quantify the contribution of changes over time in the association between sources of income and changes in their (marginal) distributions. The two components are broken down to isolate the contribution of specific income sources. An application to the change in the distribution of household incomes in Luxembourg between 2004 and 2013 reveals contrasted results: increased association between spouse earnings, public transfers and taxes depressed the income share of poor households while changes in marginal distributions increased incomes in the upper half of the distribution.

This paper provides a set of new estimates of inequality of opportunity (IOp) in Europe, using the European Union Statistics on Income and Living Condition (EU-SILC). Unlike previous research, we estimate inequality of opportunity within birth cohorts, which we argue is the most appropriate population level for inequality of opportunity analysis. Most IOp measures require estimation of the conditional distribution of the outcome of interest given circumstances. With multiple circumstances and the sample sizes available in EU-SILC, we use distribution regression methods combined with local kernel weighting and show how these can be used to estimate a large set of IOp measures. Endowed with cohort-level estimates of IOp, we finally examine the relationship between educational policy variables measured at the time of parental education and offspring generation inequality of opportunity in adulthood. We find a negative relationship between the duration of compulsory education of the parents and IOp among offspring, but the relationship is not very strong.