A note on the replication of the European Socio-economic Classification (ESeC) in the EU Statistics on Income and Living Conditions (EU-SILC)

Tim Goedemé

INET Oxford Working Papers from Institute for New Economic Thinking at the Oxford Martin School, University of Oxford

Abstract: The European Socio-Economic Classification (ESeC) is quite popular in social science research, especially as an indicator of social class. The EU Statistics on Income and Living Conditions (EU-SILC) provides the opportunity to study the relation between ESeC and a long list of socio-economic variables (including income, employment, material deprivation, ...) in a comparative and longitudinal perspective. However, to the best of my knowledge, very few people work with ESeC in EU-SILC. Therefore, in this research note, I document the data quality of EU-SILC in terms of measuring ESeC, and propose a slightly modified version of computing ESeC compared to the routines one can find on the GESIS webiste. More in particular, I look at the availability and comparability of the variables that are required to construct ESeC, document some issues with non-response bias and the comparability of the selected respondent countries, and provide list of general recommendations when using ESeC in EU-SILC, as well as a detailed list of issues by country. An excel file with background tables and a STATA do-file to construct ESeC for all EU-SILC countries in EU- SILC 2014-2017 accompany this paper.

Pages: 36 pages
Date: 2019-12
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.inet.ox.ac.uk/files/A-note-on-ESeC-in-EU-SILC.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:amz:wpaper:2019-17

Access Statistics for this paper

More papers in INET Oxford Working Papers from Institute for New Economic Thinking at the Oxford Martin School, University of Oxford Contact information at EDIRC.
Bibliographic data for series maintained by INET Oxford admin team ().