Joint effects of ill-health, health shocks and social protection on the intensive margin of labour supply: evidence from Malawi

Table 6 Regression results of the zero-inflated poisson model

Variables	Coefficient	SE	P>\|Z\|	P>\|Z\|	95%CI
Illness/Injury	-0.074***	0.004	-20.52	0.000	-0.081, -0.067
Hospitalisation	0.000	0.006	0.04	0.972	-0.011,0.011
Chronic illness	0.034***	0.005	6.33	0.000	0.023,0.044
Social protection	-0.015***	0.003	-4.56	0.000	-0.021,-0.008
Illness/Injury*Social protection	-0.010*	0.006	-1.76	0.078	-0.021,-0.001
Hospitalisation *Social protection	-0.020***	0.002	-10.04	0.000	-0.024,-0.016
Chronic illness*Social protection	-0.026***	0.008	-3.17	0.002	-0.041,-0.010
Control Variables	YES

N (number of observations) =94,846
***P<0.01, ** P<0.05, * P<0.1
The table shows coefficients estimated by the zero-inflated Poisson model
Figures in parentheses are standard errors
Control variables included sex, age, religion, marital status, and education level
Values in the table were rounded off to three decimal places

ISSN: 2191-1991