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Determinants of job quality — Evidence for European country groups

Author

Listed:
  • Nádia Simões

    (Instituto Universitário de Lisboa (ISCTE – IUL), ISCTE Business School Economics Department, UNIDE – IUL (Business Research Unit), Lisboa, Portugal)

  • Nuno Crespo

    (Instituto Universitário de Lisboa (ISCTE – IUL), ISCTE Business School Economics Department, UNIDE – IUL (Business Research Unit), Lisboa, Portugal)

  • José Castro Pinto

    (Instituto Universitário de Lisboa (ISCTE – IUL), ISCTE Business School Quantitative Methods for Management and Economics Department, UNIDE – IUL (Business Research Unit), Lisboa, Portugal)

Abstract

Based on a micro-level approach and using data from the European Working Conditions Survey, covering 27 countries, we analyse the determinants of job quality. With cluster analysis applied to 11 dimensional indices, we form three homogeneous country groups and identify, by estimating twice-censored Tobit models, the main determinant factors affecting the individual level of job quality in each group. We verify the relevance of variables related to worker characteristics, firm characteristics, and the country in which the individual works. Among worker characteristics, education and employment status are the factors with the highest impact on job quality, while the economic sector is the most important firm characteristic. The results suggest the existence of important differences among groups regarding the magnitude of the impact of some factors. The highest dissimilarities are found between the group with better jobs (Nordic countries plus Belgium) and the group with lower quality jobs (Central and Eastern European countries plus Portugal and Greece). Variables related to age, education, dimension of the firm, and economic sector are those in which more heterogeneity is found among the groups.

Suggested Citation

  • Nádia Simões & Nuno Crespo & José Castro Pinto, 2015. "Determinants of job quality — Evidence for European country groups," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 65(2), pages 299-323, June.
    • Handle: RePEc:aka:aoecon:v:65:y:2015:i:2:p:299-323
    Note: The authors are grateful to the two anonymous referees for their helpful comments, and to Fundação para a Ciência e para a Tecnologia for financial support (PEst-OE/EGE/ UI0315/2011). The usual disclaimer applies.
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    Cited by:

    1. Elena Stefana & Filippo Marciano & Diana Rossi & Paola Cocca & Giuseppe Tomasoni, 2021. "Composite Indicators to Measure Quality of Working Life in Europe: A Systematic Review," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(3), pages 1047-1078, October.

    More about this item

    Keywords

    job quality; Europe; determinant factors; twice-censored Tobit model; cluster analysis;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions
    • J88 - Labor and Demographic Economics - - Labor Standards - - - Public Policy

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