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How to Measure Employment Status and Occupation in Analyses of Survey Data? (Jak mierzyc status zatrudnienia i pozycjê zawodowa w analizach danych sondazowych?)

Author

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  • Malgorzata Mikucka

    (Université catholique de Louvain (Belgium))

Abstract

This article presents issues relevant for including employment status and occupational position in analyses of survey data. It describes the employment statuses distinguished by International Labour Organization (ILO) and discusses their internal heterogeneity and possible overlaps. Further, it presents the International Standard Classification of Occupations (ISCO) and discusses its usefulness for social research. It finishes with the presentation of scales (prestige and socio-economic status) and classifications (EGP and ESeC). The discussion is illustrated by examples of questions and data from large international surveys, such as the European Social Survey, the European Values Study, and the International Social Survey Program.

Suggested Citation

  • Malgorzata Mikucka, 2016. "How to Measure Employment Status and Occupation in Analyses of Survey Data? (Jak mierzyc status zatrudnienia i pozycjê zawodowa w analizach danych sondazowych?)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 14(60), pages 40-60.
    • Handle: RePEc:sgm:pzwzuw:v:14:i:60:y:2016:p:40-60
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    References listed on IDEAS

    as
    1. MIKUCKA Malgorzata & VALENTOVA Marie, 2011. "Employed or inactive? Cross-national differences in coding parental leave beneficiaries in Labour Force Survey data," LISER Working Paper Series 2011-45, Luxembourg Institute of Socio-Economic Research (LISER).
    2. Deborah Anderson & David Shapiro, 1996. "Racial Differences in Access to High-Paying Jobs and the Wage Gap between Black and White Women," ILR Review, Cornell University, ILR School, vol. 49(2), pages 273-286, January.
    3. Maarten van Ham & Clara H. Mulder & Pieter Hooimeijer, 2001. "Local Underemployment and the Discouraged Worker Effect," Urban Studies, Urban Studies Journal Limited, vol. 38(10), pages 1733-1751, September.
    4. Ganzeboom, H.B.G. & de Graaf, P.M. & Treiman, D.J. & de Leeuw, J., 1992. "A standard international socio-economic index of occupational status," WORC Paper 92.01.001/1, Tilburg University, Work and Organization Research Centre.
    5. Benati, Luca, 2001. "Some empirical evidence on the 'discouraged worker' effect," Economics Letters, Elsevier, vol. 70(3), pages 387-395, March.
    6. Alexandre Kolev & Anne Pascal, 2002. "What keeps pensioners at work in Russia? Evidence from Household Panel Data," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 10(1), pages 29-53.
    7. J.M. Batista-Foguet & J. Fortiana & C. Currie & J.R. Villalbí, 2004. "Socio-economic Indexes in Surveys for Comparisons between Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 67(3), pages 315-332, July.
    8. Peter Elias, 1997. "Occupational Classification (ISCO-88): Concepts, Methods, Reliability, Validity and Cross-National Comparability," OECD Labour Market and Social Policy Occasional Papers 20, OECD Publishing.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    employment status; occupational position; ISCO; prestige; prestige scale; socio-economic position;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J82 - Labor and Demographic Economics - - Labor Standards - - - Labor Force Composition

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