Table 3.
Estimates of the effect of DTMV adoption on maize yield, 2015 survey, Uganda (Endogenous Switching Regression model, ESR)a.
| Outcome variables | Household type and treatment effect | Decision stage |
Effect on adoption | Change (%) | |
|---|---|---|---|---|---|
| To Adopt | Not to adopt | ||||
| Log of average maize yield: | (1) | (2) | (3) | (4) | |
| 1. DTMV vs all non-DTMV [improved or local] | Adopters (ATT) | (a)7.18 | (c)6.22 | 0.96*** | 15.4 |
| Non-adopters (ATU) | (d)6.94 | (b)7.08 | −0.14*** | −2.0 | |
| Heterogeneity effect | BH1=0.24 | BH2=-0.86 | TH=1.1 | 17.4 | |
| 2. DTMV vs improved non- | ATT | 7.18 | 6.3 | 0.88*** | 14.0 |
| DTMV | ATU | 6.94 | 7.11 | −0.17** | −2.4 |
| Heterogeneity effect | 0.24 | −0.81 | 1.05 | 16.4 | |
| 3. DTMV vs local | ATT | 7.18 | 6.04 | 1.14*** | 18.9 |
| ATU | 6.94 | 6.98 | −0.04 | −0.5 | |
| Heterogeneity effect | 0.24 | −1.07 | 1.31 | 21.3 | |
***p < 0.01, ** p < 0.05.
a
We include controls in the switching regression such as education, gender, age, household size, farm size, drought shock, use of fertilizer, manure, herbicides and other chemicals, membership in a group as well as plot characteristics such as soil quality as well as the slope. Location dummies include Eastern, Western, and Central.