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The full European Socio-economic Classification (ESeC)

Harrison, Eric; Rose, David, 2021, "The full European Socio-economic Classification (ESeC)", https://doi.org/10.17903/FK2/YZD8DP, Κατάλογος Δεδομένων SoDaNet, version 1, UNF:6:p1hSUg4FXLrBRWm//wPVlQ== [fileUNF]
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The data project includes the variables, the questions and the algorithms (in SPSS) required for the derivation of the full European Socio-economic Classification (ESeC). The name of the target variable derived is "euroesec".

The European Socio-economic Classification (ESeC) is an occupationally based classification. The term ‘socio- economic classification’ (SEC) has no theoretical or analytic status whatever and so may be applied as a generic term for a variety of different measures designed to reflect how societies are stratified. Social stratification refers to social inequalities that may be attributed to the way a society is organised, to its socio-economic structure.
Social Sciences
SOCIO-ECONOMIC INDICATORS, ECONOMIC AND SOCIAL DEVELOPMENT, SOCIAL CHANGE, ECONOMIC INDICATORS, SOCIAL INDICATORS
Rose, D., & Harrison, E. (Eds.). (2010). Social Class in Europe: An introduction to the European Socio-economic Classification (1st ed.). Routledge. doi: 10.4324/9780203930588
Citation Metadata  
doi:10.17903/FK2/YZD8DP
2021-01-18
Indices & Classifications
The full European Socio-economic Classification (ESeC)
https://www.iser.essex.ac.uk/archives/esec/user-guide
Harrison, Eric
(Institute for Social and Economic Research, University of Essex)

Rose, David
(Institute for Social and Economic Research, University of Essex)

SoDaNet - EKKE

Use email button above to contact.

Linardis, Apostolos
(National Centre for Social Research)


The data project includes the variables, the questions and the algorithms (in SPSS) required for the derivation of the full European Socio-economic Classification (ESeC). The name of the target variable derived is "euroesec".

The European Socio-economic Classification (ESeC) is an occupationally based classification. The term ‘socio- economic classification’ (SEC) has no theoretical or analytic status whatever and so may be applied as a generic term for a variety of different measures designed to reflect how societies are stratified. Social stratification refers to social inequalities that may be attributed to the way a society is organised, to its socio-economic structure.

Social Sciences
SOCIO-ECONOMIC INDICATORS
(ELSST)
https://elsst.cessda.eu

ECONOMIC AND SOCIAL DEVELOPMENT
(ELSST)
https://elsst.cessda.eu

SOCIAL CHANGE
(ELSST)
https://elsst.cessda.eu

ECONOMIC INDICATORS
(ELSST)
https://elsst.cessda.eu

SOCIAL INDICATORS
(ELSST)
https://elsst.cessda.eu

Economic conditions and indicators; Employment; SOCIAL STRATIFICATION AND GROUPINGS; Social conditions and indicators
Rose, D., & Harrison, E. (Eds.). (2010). Social Class in Europe: An introduction to the European Socio-economic Classification (1st ed.). Routledge.
doi:
10.4324/9780203930588
https://doi.org/10.4324/9780203930588

English
Harrison, Eric
(Institute for Social and Economic Research, University of Essex)
https://www.ericharrison.co.uk

Rose, David
(Institute for Social and Economic Research, University of Essex)
https://www.iser.essex.ac.uk/people/rosed

2006-01-01
Institute for Social and Economic Research, University of Essex
Barone, Carlo
(University of Trento)

Bauer, Gerrit
(FactSet Research Systems)

Bihagen, Erik
(Mannheim University)

Brousse, Cécile
(Labour Statistics Division of INSEE)

Davies, Rhys
(Welsh Institute for Social and Economic Research, Data and Methods at Cardiff University)

Elias, Peter
(University of Warwick)

Erikson, Robert
(Stockholm University)

Gresch, Cornelia
(Max Planck Institute for Human Development)

Harrison, Eric
(Institute for Social and Economic Research, University of Essex)

Kunst, Anton
(Academic Medical Centre (AMC), Amsterdam)

Lucchini, Mario
(University of Milan Bicocca)

Maître, Bertrand
(Economic and Social Research Institute, Dublin)

Monso, Olivier
(INSEE)

Müller, Walter
(Mannheim University)

Nermo, Magnus
(Swedish Institute for Social Research (SOFI))

Pevalin, David
(University of Essex)

Pollak, Reinhard
(Social Science Research Center Berlin (WZB))

Rose, David
(Institute for Social and Economic Research, University of Essex)

Roksam, Albert-Jan
(Erasmus MC, Rotterdam)

Schizzeroto, Antonio
(University of Trento)

Watson, Dorothy
(Economic and Social Research Institute, Dublin)

Weiss, Felix
(University of Mannheim)

Whelan, Christopher
(University College Dublin)

Wirth, Heike
(GESIS)

Wolff, Loup
(INSEE)

Social Data Network
(SoDaNet)
https://sodanet.gr



Nisiotis, C.S.
2020-02-17
SPSS
Version: 25

Eric Harrison and David Rose Institute for Social and Economic Research University of Essex Colchester, UK September 2006
version 1
y
n
Indices & Classifications  
euroesec
The European Socio-economic Classification (ESeC) is an occupationally based classification. The term ‘socio- economic classification’ (SEC) has no theoretical or analytic status whatever and so may be applied as a generic term for a variety of different measures designed to reflect how societies are stratified. Social stratification refers to social inequalities that may be attributed to the way a society is organised, to its socio-economic structure.
Classification
2006
User Guide
Rose, D., & Harrison, E. (Eds.). (2010). Social Class in Europe: An introduction to the European Socio-economic Classification (1st ed.). Routledge. https://doi.org/10.4324/9780203930588
Name: isco8803
Description: Occupation, ISCO88 (3 digit)
Question: "What did the firm/organisation you worked for mainly make or do (at the place where you worked)?" / "What was your (main) job?" / "What did you mainly do in your job?"
Comments: Three questions collect information for coding to national classifications or to ISCO. They are asked about current job for those in paid work or about last main job for those who have ever had paid work, with the exception of full time students.

Name: emplrel
Description: Employment relation
Question: "Were you working as an employee or were you self-employed?" / "Were you working on your own or did you have employees?" / "How many people did you employ at the place where you worked?”
Comments: Combination of 5 questions for the rest three source variables collect information for deriving the employment status/size of organisation variable. The interviewer followes specific question flow according respondent's answers.

Name: emplno
Description: Number of employees respondent has/had
Question: "How many people worked for your employer at the place where you worked?”
Comments: Information of interest is the size of the 'local unit of the establishment' at which the respondent works in terms of total number of employees. The 'local unit' is considered to be the geographical location where the job is mainly carried out. Normally this will consist of a single building, part of a building, or at the largest a selfcontained group of buildings. It is the total number of employees at the respondent's workplace that we are interested in, not just the number employed within the particular section or department in which he/she works.

Name: jbspv
Description: Responsible for supervising other employees
Question: "In your job, did you have any formal responsibility for supervising the work of other employees?"
Comments: Include people who say they are managers DO NOT INCLUDE: - supervisors of children, e.g. teachers, nannies, childminders; - supervisors of animals; - people who supervise security or buildings only, e.g. caretakers, security guards

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1) Algorithm_Description.txt (Short description of the algorithm used for the derivation of the target variable (target variable name: euroesec)) : Open Access.
2) Algorithm_ESeC_FULL.sps (ESEC Algorithm in SPSS Syntax) : Open Access.
3) ESeC_demo_data.tab (Demo data used and derived after applying the ESEC algorithm) : Open Access.

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1) Algorithm_Description.txt (Short description of the algorithm used for the derivation of the target variable (target variable name: euroesec)) : Open Access.---2) Algorithm_ESeC_FULL.sps (ESEC Algorithm in SPSS Syntax) : Open Access.---3) ESeC_demo_data.tab (Demo data used and derived after applying the ESEC algorithm) : Open Access.---
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