Table 3.

Sensitivity analysis.

Variable	Men's only dataset			Women's only dataset
	Model 1: Respondent's healthcare	Model 2: Large household purchases	Model 3: Husband's earnings	Model 1: Respondent's healthcare	Model 2: Large household purchases	Model 3: Husband's earnings
Jointly	−0.039 (0.025)	−0.043 (0.026)	−0.073 (0.029)*	−0.010 (0.041)	−0.039 (0.041)	−0.016 (0.037)
Wife alone	−0.049 (0.035)	−0.088 (0.036)*	−0.106 (0.050)*	0.024 (0.046)	−0.064 (0.047)	−0.016 (0.060)
Statistically significant control variables	•Older age (p) •Father beat mother •Richest (models 2 and 3) or richer (model 3) income quintile (p) •Views supporting wife beating in 1 or 3 domains •Banyankole ethnicity (p)			•Father beat mother •Husband alcohol use (model 2 only) •Rich or richest wealth index (p) •Other ethnicity and Munyarwanda (model 3) •Husband's controlling behaviour

* = p < 0.05; ** = p < 0.01; ***p < 0.001; p = protective factor.