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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]

Andreoli, Francesco
Fusco, Alessio

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

Licence
Creative Commons - Attribution 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.