From: COVID-19 induced shocks and its implications for human capital development
Variables | (1) Access to medical services | (2) Ability to pay for medical services | (3) Health |
---|---|---|---|
Gender (1 = male) | 0.685*** | 0.270 | 0.227*** |
(0.158) | (0.206) | (0.0812) | |
Age | -0.001 | -0.002 | -0.003 |
(0.003) | (0.005) | (0.001) | |
Household size | 0.0974*** | 0.00751 | 0.0690*** |
(0.0191) | (0.0210) | (0.00825) | |
Primary occupation (1 = agriculture) | -0.0950 | -0.123 | -0.124* |
(0.142) | (0.173) | (0.0653) | |
Shock (dummy) | -0.175 | -0.110*** | -0.188** |
(0.294) | (0.017) | (0.114) | |
Social safety nets [SSN] (1 = yes) | 0.0529*** | 0.152*** | 0.542*** |
(0.00398) | (0.0022) | (0.080) | |
Shock * SSN | 0.111*** | 0.202*** | 0.211*** |
(0.005) | (0.001) | (0.009) | |
Other controls | YES | YES | YES |
Round FE | YES | YES | YES |
Observations | 6,840 | 6,840 | 6,840 |
Number of round | 4 | 4 | 4 |