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
Job satisfaction in Europe: a gender analysis / Nappo, Nunzia; Lubrano Lavadera, Giuseppe. - In: INTERNATIONAL JOURNAL OF MANPOWER. - ISSN 0143-7720. - (2023). [10.1108/IJM-11-2022-0524]
Job satisfaction in Europe: a gender analysis
Nunzia Nappo
;
2023
Abstract
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 satisfactionFile | Dimensione | Formato | |
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