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  • Differences in wage rates for males and females in the health sector: a consideration of unpaid overtime to decompose the gender wage gap

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    Author(s)
    Vecchio, Nerina
    Scuffham, Paul A
    Hilton, Michael F
    Whiteford, Harvey A
    Griffith University Author(s)
    Scuffham, Paul A.
    Year published
    2013
    Metadata
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    Abstract
    Background: In Australia a persistent and sizable gender wage gap exists. In recent years this gap has been steadily widening. The negative impact of gender wage differentials is the disincentive to work more hours. This implies a substantial cost on the Australian health sector. This study aimed to identify the magnitude of gender wage differentials within the health sector. The investigation accounts for unpaid overtime. Given the limited availability of information, little empirical evidence exists that accounts for unpaid overtime. Methods: Information was collected from a sample of 10,066 Australian full-time employees ...
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    Background: In Australia a persistent and sizable gender wage gap exists. In recent years this gap has been steadily widening. The negative impact of gender wage differentials is the disincentive to work more hours. This implies a substantial cost on the Australian health sector. This study aimed to identify the magnitude of gender wage differentials within the health sector. The investigation accounts for unpaid overtime. Given the limited availability of information, little empirical evidence exists that accounts for unpaid overtime. Methods: Information was collected from a sample of 10,066 Australian full-time employees within the health sector. Initially, ordinary least-squares regression was used to identify the gender wage gap when unpaid overtime was included and then excluded from the model. The sample was also stratified by gender and then by occupation to allow for comparisons. Later the Blinder–Oaxaca decomposition method was employed to identify and quantify the contribution of individual endowments to wage differentials between males and females. Results: The analyses of data revealed a gender wage gap that varied across occupations. The inclusion of unpaid overtime in the analysis led to a slight reduction in the wage differential. The results showed an adjusted wage gap of 16.7%. Conclusions: Unpaid overtime made a significant but small contribution to wage differentials. Being female remained the major contributing factor to the wage gap. Given that wage differentials provide a disincentive to work more hours, serious attempts to deal with the skilled labour shortage in the health sector need to address the gender wage gap.
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    Journal Title
    Human Resources for Health
    Volume
    11
    Issue
    9
    DOI
    https://doi.org/10.1186/1478-4491-11-9
    Copyright Statement
    © 2013 Vecchio et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Note
    Page numbers are not for citation purposes. Instead, this article has the unique article number of 9.
    Subject
    Nursing
    Publication URI
    http://hdl.handle.net/10072/54747
    Collection
    • Journal articles

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