Table 5 Effects of climate change on prevalence of diarrhoea among households in Tanzania.
From: Climate change, food security, and diarrhoea prevalence nexus in Tanzania
Outcome Variable (Prevalence of diarrhoea) | Estimation methods | |
|---|---|---|
Simple Probit | IV Probit | |
Age | 0.02365** (0.00672) | 0.09565*** (0.00149) |
Age squared | 0.01451*** (0.00119) | 0.05772** (0.00617) |
Sex (Male) | −0.18342** (0.02560) | −0.20521** (0.06391) |
Log of household income | −0.21126** (0.09810) | −0. 24064*** (0.052693) |
Years of schooling | −0.14365* (0.04610) | −0.17721** (0.01006) |
Married | 0.00813* (0.00052) | 0.07591** (0.02791) |
Extension service | −0.11641 (0.25118) | −0.22654 (0.31563) |
Member to agriculture societies | −0.11005** (0.00271) | −0.18752** (0.00342) |
Government support | −0.17532** (0.01462) | −0.29210** (0.00190) |
Financial services | −0.15896** (0.03271) | −0.18098** (0.02115) |
Climate change | 0.19942*** (0.00141) | 0.214602*** (0.000801) |
Sanitation | −0.32106** (0.06832) | −0.37217*** (0.00783) |
Residence (Rural) | 0.21814*** (0.02010) | 0.26001*** (0.00562) |
Sample size | 28,080 | 28,080 |
R squared | 0.3187 | 0.3432 |
Instrumented | Climate change | |
Instrument | Average temperature anomalies | |
