Table 6 Marginal effects of factors explaining the effects of climate change on food security in Tanzania.
From: Climate change, food security, and diarrhoea prevalence nexus in Tanzania
Outcome Variable (Food security status) | Estimation methods | ||
|---|---|---|---|
Probit | 2SRI | Control function approach | |
Age | −0.01410* (0.00521) | −0.07833** (0.00895) | −0.10082*** (0.00932) |
Fertilizer | 0.21692** (0.04671) | 0.24933** (0.03119) | 0.27218*** (0.00568) |
Sex (Male) | −0.00213 (0.09521) | −0.09060 (0.12782) | −0.10321* (0.04264) |
Log of household income | 0.17221* (0.06310) | 0.198842** (0.04002) | 0.210043*** (0.03103) |
Years of schooling | 0.04195** (0.00313) | 0.09011** (0.00210) | 0.13105*** (0.00715) |
Married | 0.0672995* (0.001586) | 0.0935041** (0.0137595) | 0.1103841*** (0.02589123) |
Employed | 0.20881* (0.096711) | 0.23110** (0.053721) | 0.26004*** (0.01621) |
Extension service | 0.26662* (0.11592) | 0.28015** (0.09561) | 0.31691*** (0.03518) |
Member to agriculture societies | 0.16052* (0.06401) | 0.20197** (0.05382) | 0.24621*** (0.03201) |
Government support | 0.36281*** (0.07831) | 0.39562*** (0.02642) | 0.417841*** (0.00784) |
Financial services | 0.10031** (0.02367) | 0.143950** (0.01031) | 0.18003*** (0.00910) |
Residence (Rural) | −0.11960** (0.08728) | −0.16337** (0.034502) | −0.191022*** (0.004210) |
Climate change | −0.26411*** (0.01301) | −0.28146*** (0.00116) | −0.331142*** (0.01632) |
Climate change residual | −0.24531** (0.08110) | −0.31001** (0.08932) | |
Climate change*residual | −0.21250*** (0.0281021) | ||
Sample size | 28,080 | 28,080 | 28,080 |
R squared | 0.3145 | 0.3266 | 0.3271 |
Instrumented | Climate change | ||
Instrument | Average temperature anomalies | ||
