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. 2017 Jan;66:50–61. doi: 10.1016/j.foodpol.2016.11.007

Table A.

Correlated random effects probit model of access to technology transfer and seed.

(1) (2)
Access technology transfer (yes = 1) Buys improved seed (yes = 1)
Lagged weighted distance to tech. transfer −1.488∗∗∗
(0.542)
Lagged weighted distance to seed −0.891∗∗∗
(0.267)
Age head (yrs) −0.015∗∗∗ −0.009∗∗
(0.005) (0.004)
Education head (yrs) −0.006 0.016
(0.019) (0.018)
Male head (yes = 1) −1.092∗∗ 0.395
(0.437) (0.447)
Household size (No.) −0.144∗∗∗ −0.012
(0.043) (0.046)
Dependents (%) 0.007 −0.002
(0.004) (0.004)
Off-farm income (yes = 1) −0.149 −0.090
(0.152) (0.134)
Ln initial asset ownership (USD PPP) 0.096 0.016
(0.057) (0.052)
Ln land owned (ha) 0.451 −0.043
(0.237) (0.188)
Ln market distance (min) −0.015 0.228
(0.294) (0.238)
Average rainfall (mm) 0.013 0.006
(0.010) (0.011)
Standard deviation rainfall (mm) 0.006 0.005
(0.010) (0.009)
Black soil (yes = 1) −0.196 −0.336
(0.238) (0.204)
Sandy soil (yes = 1) 0.056 0.086
(0.128) (0.106)
Mixed soil (yes = 1) 0.032 0.097
(0.117) (0.098)



Observations 1212 1212
Households 606 606

Note: Column (1) presents first stage regression results predicting access to technology transfer with lagged weighted distance to technology transfer as an instrument. Column (2) presents first stage regression results predicting access to improved seed with lagged weighted distance to seed as an instrument. Fully robust standard errors in parentheses (*p < 0.10, **p < 0.05, ***p < 0.01). Regressions include the means of time-variant variables, year dummies and village dummies.