2SLS Regression estimates of sample farmers
Variables . | Coefficients . | P > |t| . |
---|---|---|
Dependent variable = Ln (net revenue per hectare) | ||
Insurance (dummy; 0 = no; 1 = yes) | 12.1729 | 0.003*** |
Labour (nos per hectare) | −0.2072 | 0.057* |
Input expenditure (rands per hectare) | 0.00001 | 0.010*** |
Rainfall (mm) | 0.1034 | 0.044** |
Rainfall2 | −0.0001 | 0.019** |
Minimum air temperature (°C) | −4.0081 | 0.135 |
Minimum air temperature2 | 0.1578 | 0.128 |
F test of endogeneity | 7.4108 (P = 0.0071) | |
Wooldridge's Score test of overidentification of all instruments | P = 0.2992 | |
Number of observations | 235 |
Variables . | Coefficients . | P > |t| . |
---|---|---|
Dependent variable = Ln (net revenue per hectare) | ||
Insurance (dummy; 0 = no; 1 = yes) | 12.1729 | 0.003*** |
Labour (nos per hectare) | −0.2072 | 0.057* |
Input expenditure (rands per hectare) | 0.00001 | 0.010*** |
Rainfall (mm) | 0.1034 | 0.044** |
Rainfall2 | −0.0001 | 0.019** |
Minimum air temperature (°C) | −4.0081 | 0.135 |
Minimum air temperature2 | 0.1578 | 0.128 |
F test of endogeneity | 7.4108 (P = 0.0071) | |
Wooldridge's Score test of overidentification of all instruments | P = 0.2992 | |
Number of observations | 235 |
Notes: *significant at 10%; **significant at 5%; ***significant at 1%.