Research Article
Impact of Improved Forage Technology Adoption on Dairy Productivity and Household Income: A Propensity Score Matching Estimation in Northern Ethiopia
Table 5
Propensity score estimation.
| | Variables | Odds ratio | St. Err. | Z | value |
| | Sex of the household head | 0.751164 | 0.4446473 | −0.48 | 0.629 |
| | Age of the household head | 1.030092 | 0.0167485 | 1.82 | 0.068 |
| | Education status | 1.610852 | 0.3580113 | 2.15 | 0.032 |
| | Farm size | −0.973829 | 0.1896029 | −0.14 | 0.892 |
| | Market distance | 1.016346 | 0.0065929 | 2.50 | 0.012 |
| | Access to extension | 16.9979 | 9.304402 | 5.18 | 0.000 |
| | Training | 2.73146 | 1.194584 | 2.30 | 0.022 |
| | Field day demonstration | 16.3326 | 9.266719 | 4.92 | 0.000 |
| | Improved cattle owned | 1.54224 | 0.1279083 | 5.22 | 0.000 |
| | Farm income | 1.00003 | 2.99e − 06 | 1.13 | 0.259 |
| | _Cons | 0.000172 | 0.000294 | −5.08 | 0.000 |
| | Sample size (N) = 319 pseudo R2 = 0.4296 LR chi2 (13) = 184.62 |
| | Prob > chi2 = 0.0000 log likelihood = 122.544 |
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The symbols , , and denote statistical significance at 10%, 5%, and 1% level, respectively. Source: authors’ analysis using primary data (2021). |
