LFS Training Dataset Alexander Mack GESIS – Leibniz-Institute for the Social Sciences DwB-Training Course on EU‐LFS, 17-19 September 2014, Ljubljana.

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Presentation transcript:

LFS Training Dataset Alexander Mack GESIS – Leibniz-Institute for the Social Sciences DwB-Training Course on EU‐LFS, September 2014, Ljubljana

Outline 1.Methodology 2.Countries included 3.Variables included 4.Key Variables 5.Data Structure

1. Methodology The training dataset is a subsample of the 2012 EU-LFS yearly data and includes data from 21 countries (~5000 cases per country) Of the 164 variables in the 2012 LFS user database 64 were included Household composition remains intact, but households with 7 or more members were excluded Identifiers have been randomized All missing values use the following definition -1 for "No answer" -2 for "Not applicable" -3 for "Not available"

1. Methodology Households with 7 or more members were excluded as were institutional households Based on the average household size for each country the number of households required to achieve a sample of 5000 indivduals was calculated Sample of households was drawn as a simple random sample from all private households (via the household reference person) A random household identifier was generated for the selected households

2. Countries included HouseholdsIndividuals Austria Belgium Switzerland 5000 Czech Republic Germany Estonia Spain France Greece Hungary Ireland Italy Lithuania Luxembourg Netherlands Poland Portugal Romania Slovenia Slovak Republic United Kingdom Total

3. Variables included Auxiliary Information RELEASEData Release Identifiers and pointers COUNTRYCountry REFYEARYear of survey YEARFixed reference year QUARTERReference quarter QHHNUMSerial number of household in each quarter HHSEQNUMSequence number in the household HHLINKRelationship to reference person in the household HHSPOUSequence number of spouse or cohabiting partner HHFATHSequence number of father HHMOTHSequence number of mother

3. Variables included Demographics SEXSex AGEAge MARSTATMarital status NATIONALNationality YEARESIDYears of residence in this country COUNTRYBCountry of birth Education and Training EDUCSTATStudent or apprentice in regular education during last 4 weeks HATLEVELHighest level of education or training (ISCED-97) HATLEV1DLevel of education (ISCED-97, 3 levels)

3. Variables included Labour Market Status WSTATORLabour status during the reference week ILOSTATILO work status WSTAT1YSituation with regard of activity one year before STAPRO1YProfessional status one year before MAINSTATMain labour status Work experience STARTIMETime since person started to work (in months)

3. Variables included Main Job Characteristics STAPROProfessional status SUPVISORSupervisory responsibilities SIZEFIRMNumber of persons working at the local unit YSTARTWKYear in which person started working for employer/self-employed FTPTFull-time / Part-time distinction TEMPPermanency of the job TEMPDURTotal duration of temporary job or contract of limited duration TEMPAGCYContract with a temporary employment agency HWUSUALHours per week usually worked in main job HWACTUALHours actually worked during the reference week in main job INCDECILMonthly take home pay from main job (deciles) ISCO3DOccupation (ISCO-08, 3 digits)

3. Variables included Second Job EXIST2JExistence of more than one job or business STAPRO2J Professional status in the 2nd job HWACTUA2Hours actually worked during the reference week in 2nd job Unemployment and job search EXISTPRExistence of previous employment experience YEARPRYear in which person last worked LEAVTIMETime since person last worked (in months) STAPROPRProfessional status in last job ISCOPR3DOccupation of last job (ISCO-08, 3 digits) SEEKWORKSeeking employment during last 4 weeks SEEKTYPEType of employment sought SEEKDURDuration of search for employment DURUNEDuration of unemployment

3. Variables included Household Information HHTYPEType of household (transmitted) HHPRIVType of household (derived) HHCHILDRPresence of the children of the person in the household HHWKSTATWorking status of adults living in the household HHPARTNRPresence of the partner of the person in the household HHPARENTPresence of the father/mother of the person in the household HHCOMPHousehold composition HHNBCHLDNumber of children in the household aged less than 25 HHNB0014Number of children in the household aged less than 15 HHNBPERSNumber of persons in the household, whatever the age HHNBEMPLNumber of employed adults in the household aged 15+ HHNBINACNumber of inactive adults in the household aged 15+ HHNBUNEMNumber of unemployed adults in the household aged 15+ HHNBWORKNumber of employed persons in the household aged 15+

4. Key variables MAINSTAT Main Labour Force Status FrequencyPercent 1 Carries out a job or profession, including unpaid work for a family business or holding, including an apprenticeship or paid traineeship, etc Unemployed Pupil, student, further training, unpaid work experience In retirement or early retirement or has given up business Permanently disabled In compulsory military service390 7 Fulfilling domestic tasks Other inactive person Total Not available Not applicable (child less than 15 years) No answer Total

4. Key variables WSTATOR Labour status during the reference week FrequencyPercent 1 Did any work for pay or profit during the reference week - one hour or more (including family workers but excluding conscripts on compulsory military or community service) Was not working but had a job or business from which he/she was absent during the reference week (including family workers but excluding conscripts on compulsory military or community service) Was not working because on lay-off Was a conscript on compulsory military or community service Other (15 years or more) who neither worked nor had a job or business during the reference week Total Not applicable (child less than 15 years)

4. Key variables ILOSTAT ILO work status FrequencyPercent 1 Employed Unemployed Inactive Compulsory Military Service280 Total Not applicable (Persons less than 15 years)

5. Data Structure CountryNumber of household in each quarter Sequence number in the household Relationship to reference person in the household Sequence number of spouse or cohabiting partner Sequence number of father Sequence number of mother COUNTRYQHHNUMHHSEQNUMHHLINKHHSPOUHHFATHHHMOTH

5. Data Structure CountryNumber of household in each quarter Sequence number in the household Relationship to reference person in the household Sequence number of spouse or cohabiting partner Sequence number of father Sequence number of mother COUNTRYQHHNUMHHSEQNUMHHLINKHHSPOUHHFATHHHMOTH

5. Data Structure CountryNumber of household in each quarter Sequence number in the household Relationship to reference person in the household Sequence number of spouse or cohabiting partner Sequence number of father Sequence number of mother COUNTRYQHHNUMHHSEQNUMHHLINKHHSPOUHHFATHHHMOTH

5. Data Structure CountryNumber of household in each quarter Sequence number in the household Relationship to reference person in the household Sequence number of spouse or cohabiting partner Sequence number of father Sequence number of mother COUNTRYQHHNUMHHSEQNUMHHLINKHHSPOUHHFATHHHMOTH

5. Data Structure CountryNumber of household in each quarter Sequence number in the household Relationship to reference person in the household Sequence number of spouse or cohabiting partner Sequence number of father Sequence number of mother COUNTRYQHHNUMHHSEQNUMHHLINKHHSPOUHHFATHHHMOTH

Thank you! Alexander Mack GESIS – Leibniz-Institute for the Social Sciences