Harmonization of Income Data in EU-SILC
Harmonization of Income Data in EU-SILC
This report is intended to provide an overview of income measures employed in the EU-SILC and to inform on procedures which can be employed to harmonize these data both for comparisons over time and between countries. Each subsection provides a short overview over a topic or method and contains example code for Stata and SPSS which can be used to implement the described procedures. Alongside this report syntax files as well as a data files for both SPSS and Stata are delivered which include the code provided here as well auxiliary country level data drawn from the Eurostat database.
GESIS Papers, 2015/18, 17 S.
Zeit, household income, ddc:300, internationaler Vergleich, Social sciences, social statistics, data quality, Privathaushalt, Social sciences, sociology, anthropology, time, Erhebungstechniken und Analysetechniken der Sozialwissenschaften, Sozialwissenschaften, Soziologie, Datenqualität, international comparison, 300, Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods, Harmonisierung, comparison, harmonization, 10105 Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods, Sozialstatistik, private household, Vergleich, Haushaltseinkommen, EU, info:eu-repo/classification/ddc/300, SPSS, ddc: ddc:300
Zeit, household income, ddc:300, internationaler Vergleich, Social sciences, social statistics, data quality, Privathaushalt, Social sciences, sociology, anthropology, time, Erhebungstechniken und Analysetechniken der Sozialwissenschaften, Sozialwissenschaften, Soziologie, Datenqualität, international comparison, 300, Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods, Harmonisierung, comparison, harmonization, 10105 Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods, Sozialstatistik, private household, Vergleich, Haushaltseinkommen, EU, info:eu-repo/classification/ddc/300, SPSS, ddc: ddc:300
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