| |
Log_income
|
Log_fcsdaily
|
Log_legumeprod
|
Log_cereal
|
Hfood_security
|
Hdds
|
|---|
|
Coefficient
|
SD
|
Coefficient
|
SD
|
Coefficient
|
SD
|
Coefficient
|
SD
|
Coefficient
|
SD
|
Coefficient
|
SD
|
|---|
|
Crop diversification
|
3.498***
|
(0.648)
|
0.637***
|
(0.139)
|
0.223
|
(0.526)
|
1.181***
|
(0.322)
|
0.568
|
(0.571)
|
3.545***
|
(0.563)
|
|
Head of household
|
0.108
|
(0.252)
|
0.028
|
(0.056)
|
−0.189
|
(0.208)
|
0.016
|
(0.086)
|
0.107
|
(0.142)
|
0.033
|
(0.236)
|
|
Gender (male=1)
|
−0.046
|
(0.518)
|
−0.128
|
(0.096)
|
0.826
|
(0.550)
|
0.194
|
(0.143)
|
0.323
|
(0.236)
|
0.148
|
(0.379)
|
|
Age
|
−0.007
|
(0.052)
|
−0.013
|
(0.011)
|
−0.012
|
(0.044)
|
0.004
|
(0.018)
|
−0.046
|
(0.027)
|
−0.105*
|
(0.051)
|
|
Age squared
|
0.000
|
(0.000)
|
0.000
|
(0.000)
|
0.000
|
(0.000)
|
−0.000
|
(0.000)
|
0.000
|
(0.000)
|
0.001*
|
(0.000)
|
|
Secondary education
|
0.463
|
(0.276)
|
−0.099
|
(0.054)
|
0.375
|
(0.216)
|
0.041
|
(0.095)
|
−0.289
|
(0.152)
|
−0.138
|
(0.277)
|
|
Married
|
0.572
|
(0.520)
|
0.141
|
(0.094)
|
−0.519
|
(0.532)
|
0.112
|
(0.145)
|
−0.242
|
(0.238)
|
−0.331
|
(0.382)
|
|
Number of workers
|
0.099
|
(0.064)
|
−0.027
|
(0.020)
|
−0.066
|
(0.045)
|
−0.027
|
(0.026)
|
−0.029
|
(0.040)
|
0.112
|
(0.065)
|
|
Land size
|
0.418***
|
(0.099)
|
0.012
|
(0.006)
|
0.038
|
(0.022)
|
−0.013
|
(0.014)
|
−0.026
|
(0.026)
|
−0.001
|
(0.043)
|
|
Land size squared
|
−0.010*
|
(0.005)
| | | | | | | | | | |
|
Distance to market
|
0.001
|
(0.001)
|
−0.000
|
(0.000)
|
0.000
|
(0.001)
|
0.002*
|
(0.001)
|
0.001
|
(0.001)
|
0.000
|
(0.002)
|
|
Farming experience
|
0.074*
|
(0.036)
|
0.006
|
(0.006)
|
0.055*
|
(0.025)
|
−0.004
|
(0.013)
|
0.004
|
(0.019)
|
0.011
|
(0.030)
|
|
Farming experience squared
|
−0.001*
|
(0.001)
|
−0.000
|
(0.000)
|
−0.001
|
(0.000)
|
0.000
|
(0.000)
|
−0.000
|
(0.000)
|
−0.000
|
(0.001)
|
|
Farmer
|
0.654
|
(0.373)
|
0.076
|
(0.082)
|
−0.202
|
(0.308)
|
0.112
|
(0.151)
|
−0.152
|
(0.188)
|
−0.255
|
(0.325)
|
|
Household wealth
| | | | | | | | | | | | |
|
Quintile 2
|
−0.187
|
(0.383)
|
−0.185*
|
(0.079)
|
−0.594
|
(0.303)
|
−0.073
|
(0.146)
|
−0.162
|
(0.236)
|
−0.779*
|
(0.344)
|
|
Quintile 3
|
0.086
|
(0.382)
|
−0.134
|
(0.079)
|
−0.445
|
(0.268)
|
−0.285*
|
(0.139)
|
−0.216
|
(0.219)
|
−0.898*
|
(0.375)
|
|
Quintile 4
|
−0.019
|
(0.424)
|
−0.150
|
(0.085)
|
−0.855**
|
(0.310)
|
−0.075
|
(0.171)
|
−0.196
|
(0.240)
|
−0.672
|
(0.382)
|
|
Quintile 5
|
0.471
|
(0.435)
|
−0.216*
|
(0.093)
|
−0.381
|
(0.280)
|
0.214
|
(0.144)
|
−0.070
|
(0.259)
|
−0.910*
|
(0.409)
|
|
Goromonzi district
|
−0.770*
|
(0.341)
|
0.124
|
(0.064)
|
0.439
|
(0.252)
|
0.236*
|
(0.104)
|
0.220
|
(0.173)
|
0.057
|
(0.300)
|
|
Wedza district
|
−1.977***
|
(0.368)
|
0.264***
|
(0.074)
|
−1.826***
|
(0.360)
|
−1.258***
|
(0.234)
|
0.283
|
(0.202)
|
1.387***
|
(0.404)
|
|
Mudzi district
|
−2.586***
|
(0.305)
|
0.125
|
(0.068)
|
−0.153
|
(0.232)
|
−1.622***
|
(0.140)
|
0.065
|
(0.228)
|
0.382
|
(0.334)
|
|
Constant
|
−1.672
|
(1.353)
|
2.226***
|
(0.317)
|
6.259***
|
(1.193)
|
6.000***
|
(0.488)
|
0.173
|
(0.802)
|
6.744***
|
(1.390)
|
|
Atanhrho_12
|
−0.823***
|
(0.180)
|
−1.134***
|
(0.263)
|
0.092
|
(0.132)
|
−0.773*
|
(0.352)
|
−0.224
|
(0.358)
|
−1.002***
|
(0.204)
|
|
Observations
|
538
| |
538
| |
538
| |
538
| |
538
| |
538
| |
|
Log-likelihood
|
−1445.7
| |
−558.9
| |
−1018.7
| |
−824.8
| |
−482.1
| |
−1383.2
| |
- *** Significant at 1 % level; ** significant at 5 % level; * significant at 10 % level. Robust standard errors in parentheses. Except for the model for household food security which is estimated via a probit regression model, all the other models are based on a continuous outcome variable and thus use ordinary least squares approach
