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Application of the EU-SILC 2011 data module "intergenerational transmission of disadvantage" to robust analysis of inequality of opportunity
[journal article]
Abstract 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 “intergenerationa... view more
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.... view less
Keywords
inequality; income; social background; socioeconomic factors; Europe; measurement; data capture; sample; descriptive statistics; estimation
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
Survey data; Intergenerational; Cohort; Earnings; Gap curves; European Union Statistics on Income and Living Conditions (EU-SILC) 2011
Document language
English
Publication Year
2019
Page/Pages
p. 1-13
Journal
Data in Brief (2019) 25
DOI
https://doi.org/10.1016/j.dib.2019.104301
ISSN
2352-3409
Status
Published Version; peer reviewed