Pesticides and Health in Vegetable Production in Kenya
Table 3
Tobit model for cost of illness estimations.
Model
Unrestricted
Restricted
Variables
(Coefficient)
-value
(Coefficient)
-value
TACUTE
7.45 (4.08)
1.83
6.20 (2.00)
3.10
SEVERE
9.01 (2.52)
3.58
11.07 (2.17)
5.12
AGE
−0.48 (1.09)
−0.44
AGESQ
0.01 (0.01)
0.61
EDUCATION
1.46 (2.36)
0.62
GENDER
−2.84 (4.33)
−0.66
FARMSIZE
3.25 (2.88)
1.13
GLOBALGAP
−21.75 (3.40)
−1.62
−18.71 (7.47)
−2.50
RECORD
−1.08 (4.89)
−0.22
KIAMBU
2.50 (10.31)
0.24
MAKUENI
−15.08 (17.25)
−0.87
MERU CENTRAL
1.65 (8.71)
0.19
MURANGA
−5.48 (11.75)
−0.47
NYANDARUA
−5.61 (8.81)
−0.64
NYERI NORTH
6.62 (8.47)
0.78
YEAR 2008
7.93 (9.15)
0.87
Constant
−23.23 (29.41)
−0.79
−19.54 (4.45)
−4.39
Log likelihood
−464.10
−549.55
Wald /LR
40.18
43.22
Figures in parenthesis are robust standard errors, statistically significant at the 0.01 (), 0.05 (), and 0.1 () levels of probability. Source: this study.
