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

Vecchio, Nerina, Scuffham, Paul A., Hilton, Michael F. and Whiteford, Harvey A. (2013) Differences in wage rates for males and females in the health sector: a consideration of unpaid overtime to decompose the gender wage gap. Human Resources for Health, 11 1: 9.1-9.11. doi:10.1186/1478-4491-11-9


Author Vecchio, Nerina
Scuffham, Paul A.
Hilton, Michael F.
Whiteford, Harvey A.
Title Differences in wage rates for males and females in the health sector: a consideration of unpaid overtime to decompose the gender wage gap
Journal name Human Resources for Health   Check publisher's open access policy
ISSN 1478-4491
Publication date 2013-02-01
Year available 2013
Sub-type Article (original research)
DOI 10.1186/1478-4491-11-9
Open Access Status DOI
Volume 11
Issue 1
Start page 9.1
End page 9.11
Total pages 11
Place of publication London, United Kingdom
Publisher BioMed Central
Language eng
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.
Formatted 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 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.
Keyword Gender
Wages
Overtime
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article number 9

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Public Health Publications
 
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