Abstract
This study examines the impact of working time mismatch (i.e. the discrepancy between actual and desired working hours) on individuals’ job satisfaction by disability status in Germany. Our particular interest is in testing the assumption that working time mismatch is a more serious problem among workers with disabilities as compared to workers without disabilities, especially concerning the presence of overemployment. Using longitudinal data from the German Socio-Economic Panel (1985–2011), we estimate a “Probit Adapted OLS” model which allows us to identify the factors affecting job satisfaction for people without and with disabilities. The results indicate that all workers suffering from working time mismatch are more likely to report lower levels of job satisfaction compared to those who actually work their desired hours. In addition, all selected groups of females with disabilities prefer lower hours of work per week compared to females without disabilities. Although overemployment is clearly more harmful in terms of job satisfaction than underemployment for all workers, its impact is even higher for females with disabilities as compared to their non-disabled counterparts. From a public policy perspective, these findings show the importance of reducing working time mismatch in general and overemployment in particular among females with disabilities in order to increase their levels of job satisfaction.
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Notes
For example and using the OECD’s data for the year (2013), we find that some European countries badly affected by the economic crisis have the longest working hours per week: Greece (42 h), followed by Portugal (39.3 h) and Spain (38 h). In contrast, the average weekly working hours in Germany and The Netherlands are 35.3 and 30 h per week, respectively.
For more information on the GSOEP data, see, for example, Wagner et al. (2007).
Wunder and Heineck (2013) indicate that “this model can be transformed into an equivalent specification where actual working time is substituted for working time preferences. Therefore, the coefficient of the working time preference in this regression equation also represents the effect of working time on well-being, after controlling for the working time mismatch (pp. 246)”.
To choose between a random effect (RE) POLS and a fixed effect (FE) POLS, we have run a Hausman test (which tests the appropriateness of the random-effects estimator), and the results corroborated that the FE POLS model was preferred for all samples at any conventional level of significance. Additionally, we have also checked for multicollinearity in Eq. (1) between desired hours (S) and hours of underemployment and overemployment (UNDER and OVER). After calculating the variance inflation factors (VIF) for each regression, the results rejected the existence of multicollinearity among these variables.
This two-period definition allows us to analyse long-term disabilities (of main interest for public policy), and reduces the impact of measurement error in reporting disability. The length of a disability spell is measured as the number of years during which the individual is observed as disabled, including the year of onset. See, for example, Pagan (2010) for a full description of this definition of onset of disability.
The coefficients on underemployment and overemployment obtained for each sample are statistically different at the 1 % level for the female sample. This result indicates that overemployment is more detrimental in terms of job satisfaction than underemployment but only among females. This result is consistent with the work of Wooden et al. (2009).
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Pagan, R. Impact of Working Time Mismatch on Job Satisfaction: Evidence for German Workers with Disabilities. J Happiness Stud 18, 125–149 (2017). https://doi.org/10.1007/s10902-016-9721-5
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DOI: https://doi.org/10.1007/s10902-016-9721-5