Table 3.

Robustness checks.

Robustness check	Controls used in multiple regression	Male HIV mortality per 100,000				Female HIV mortality per 100,000
		Coefficient	p value	Lower confidence interval	Upper confidence interval	Coefficient	p value	Lower confidence interval	Upper confidence interval
Tuberculosis co-infection controls	Original analysis controls and: controlling for overall TB mortality	0.7526	0.0001	0.3740	1.1311	0.1718	0.0005	0.0765	0.2670
Public healthcare spending controls	Original analysis controls and: controlling for changes in public healthcare spending	0.6664	0.0004	0.3041	1.0286	0.1547	0.0009	0.0643	0.2451
Private healthcare spending controls	Original analysis controls and: controlling for changes in private healthcare spending	0.7149	0.0003	0.3373	1.0924	0.1663	0.0007	0.0719	0.2608
Crude death rate controls	Original analysis controls and: controlling for changes in crude death rate during unemployment	0.6969	0.0004	0.3140	1.0797	0.1652	0.0010	0.0683	0.2620
Autocorrelation	Original analysis controls and inclusion of the Newey-West variance estimator.	0.6789	0.0012	0.2724	1.0854	0.1590	0.0024	0.0573	0.2608

Multiple regression analyses were re-run using the controls in the original analysis in addition to those mentioned in the table below. The data show the impact of a 1% rise in unemployment, on HIV mortality, using the mentioned controls.