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Job satisfaction in Europe: a gender analysis

Author

Listed:
  • Nunzia Nappo
  • Giuseppe Lubrano Lavadera

Abstract

Purpose - The main aim of this study was to examine gender differences in job satisfaction in Europe. Design/methodology/approach - For the empirical analysis, data from the Sixth European Working Conditions Survey were used. Oaxaca–Blinder decomposition with a principal component analysis (PCA) aggregated variable, after unconditional quantile regressions in a multiple imputation background, was implemented. Findings - Women report higher job satisfaction than men do. Women were significantly more satisfied than men for the middle levels of the job satisfaction distribution. Originality/value - This study expands the evidence on the determinants of job satisfaction in the European labour market by applying a recent form of decomposition that invests in unconditional quantile regression (UQR). To the best of this study knowledge, this is the first time that the Oaxaca–Blinder decomposition with a PCA aggregated variable after unconditional quantile regression has been employed to study gender-based differences in job satisfaction.

Suggested Citation

  • Nunzia Nappo & Giuseppe Lubrano Lavadera, 2023. "Job satisfaction in Europe: a gender analysis," International Journal of Manpower, Emerald Group Publishing Limited, vol. 45(5), pages 865-884, November.
    • Handle: RePEc:eme:ijmpps:ijm-11-2022-0524
    DOI: 10.1108/IJM-11-2022-0524
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    More about this item

    Keywords

    Job satisfaction; Women; Europe; Oaxaca–blinder decomposition; Unconditional quantile regression; 16; C21; D00; J28;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D00 - Microeconomics - - General - - - General
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy

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