Gender composition and wage gaps in the Canadian health policy research workforce in comparative perspective

Table 5 Explained and unexplained components of the female‒male wage differential in the policy research workforce (eight pooled policy domains)

Component	Coefficient (% of gap)
Explained	0.1271* (60%)
Occupation	0.0319* (15%)
Health policy research	− 0.0018* (− 6%)
Economics policy research	0.0185* (58%)
Other non-health policy domains	0.0152* (48%)
Age group	0.0120* (6%)
Other labour characteristics	0.0571* (27%)
Social identity characteristics	0.0211* (10%)
Province/region of residence	0.0050* (2%)
Unexplained	0.0845* (40%)
Total female‒male differential	0.2115* (100%)

*p < 0.05. Components estimated using Oaxaca–Blinder decomposition representing the percent of the total log wage differential explained by gender differences in the measured factors, among wage earners aged 25–54. Policy domains categorized by the 2016 National Occupational Classification
Source: 2016 Canadian Population Census (authors’ calculations)

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