. | Control group . | Treatment group . | t-test (p-value) . | F-test (p-value) . |
---|---|---|---|---|
Agricultural variables | ||||
Cotton area cultivated (ha) | 4.03 | 3.77 | 0.23 | 0.862 |
Cotton yields (kg/ha) | 829.4 | 829.3 | 1 | 0.437 |
Cultivates GMO cotton (1 = yes) | 63% | 42% | 1.86e−11*** | 0.166 |
Cotton credit (CFA) | 424,281 | 407,484 | 0.60 | 0.773 |
NPK fertilizer (bags/ha) | 2.29 | 2.38 | 0.17 | 0.752 |
Total area cultivated (ha) | 10.1 | 9.8 | 0.55 | 0.911 |
Rented a field | 34% | 27% | 0.015* | 0.317 |
Cereal production (kg) | 5,490 | 5,309 | 0.58 | 0.635 |
Sesame cultivated (1 = yes) | 21% | 17% | 0.25 | 0.168 |
Tropical livestock unit (TLU) | 10.9 | 9.54 | 0.10 | 0.049* |
Drought shock, 2013/14 | 13% | 17% | 0.080 | 0.257 |
Livestock shock, 2013/14 | 4% | 5% | 0.35 | 0.329 |
Household living standards | ||||
Progress out of poverty index | 36.3 | 36.8 | 0.55 | 0.671 |
Roof of dwelling is solid | 47% | 51% | 0.12 | 0.467 |
Household diet diversity score | 7.83 | 7.84 | 0.91 | 0.942 |
Number of food coping strategies | 0.47 | 0.4 | 0.19 | 0.542 |
Household demographics | ||||
Age of household head | 44 | 43.6 | 0.66 | 0.23 |
Household size | 10.4 | 10.4 | 0.98 | 0.004** |
Household head education (years) | 1.2 | 1.2 | 0.66 | 0.95 |
Insurance uptake | ||||
Covered by insurance | 0% | 46% | – | – |
Number of observations | 508 | 507 | 1,015 | 1,015 |
. | Control group . | Treatment group . | t-test (p-value) . | F-test (p-value) . |
---|---|---|---|---|
Agricultural variables | ||||
Cotton area cultivated (ha) | 4.03 | 3.77 | 0.23 | 0.862 |
Cotton yields (kg/ha) | 829.4 | 829.3 | 1 | 0.437 |
Cultivates GMO cotton (1 = yes) | 63% | 42% | 1.86e−11*** | 0.166 |
Cotton credit (CFA) | 424,281 | 407,484 | 0.60 | 0.773 |
NPK fertilizer (bags/ha) | 2.29 | 2.38 | 0.17 | 0.752 |
Total area cultivated (ha) | 10.1 | 9.8 | 0.55 | 0.911 |
Rented a field | 34% | 27% | 0.015* | 0.317 |
Cereal production (kg) | 5,490 | 5,309 | 0.58 | 0.635 |
Sesame cultivated (1 = yes) | 21% | 17% | 0.25 | 0.168 |
Tropical livestock unit (TLU) | 10.9 | 9.54 | 0.10 | 0.049* |
Drought shock, 2013/14 | 13% | 17% | 0.080 | 0.257 |
Livestock shock, 2013/14 | 4% | 5% | 0.35 | 0.329 |
Household living standards | ||||
Progress out of poverty index | 36.3 | 36.8 | 0.55 | 0.671 |
Roof of dwelling is solid | 47% | 51% | 0.12 | 0.467 |
Household diet diversity score | 7.83 | 7.84 | 0.91 | 0.942 |
Number of food coping strategies | 0.47 | 0.4 | 0.19 | 0.542 |
Household demographics | ||||
Age of household head | 44 | 43.6 | 0.66 | 0.23 |
Household size | 10.4 | 10.4 | 0.98 | 0.004** |
Household head education (years) | 1.2 | 1.2 | 0.66 | 0.95 |
Insurance uptake | ||||
Covered by insurance | 0% | 46% | – | – |
Number of observations | 508 | 507 | 1,015 | 1,015 |
Source: 2014 baseline and 2015 follow-up surveys.
Note: Variable averages and p-value of the difference of means between treatment and control groups. The F-test is the joint test of significance of the coefficients for a regression of each variable on the two randomized variables: (a) the treatment status; (b) the percentage subsidy variable. *p < 0.05, **p < 0.01, ***p < 0.001.
. | Control group . | Treatment group . | t-test (p-value) . | F-test (p-value) . |
---|---|---|---|---|
Agricultural variables | ||||
Cotton area cultivated (ha) | 4.03 | 3.77 | 0.23 | 0.862 |
Cotton yields (kg/ha) | 829.4 | 829.3 | 1 | 0.437 |
Cultivates GMO cotton (1 = yes) | 63% | 42% | 1.86e−11*** | 0.166 |
Cotton credit (CFA) | 424,281 | 407,484 | 0.60 | 0.773 |
NPK fertilizer (bags/ha) | 2.29 | 2.38 | 0.17 | 0.752 |
Total area cultivated (ha) | 10.1 | 9.8 | 0.55 | 0.911 |
Rented a field | 34% | 27% | 0.015* | 0.317 |
Cereal production (kg) | 5,490 | 5,309 | 0.58 | 0.635 |
Sesame cultivated (1 = yes) | 21% | 17% | 0.25 | 0.168 |
Tropical livestock unit (TLU) | 10.9 | 9.54 | 0.10 | 0.049* |
Drought shock, 2013/14 | 13% | 17% | 0.080 | 0.257 |
Livestock shock, 2013/14 | 4% | 5% | 0.35 | 0.329 |
Household living standards | ||||
Progress out of poverty index | 36.3 | 36.8 | 0.55 | 0.671 |
Roof of dwelling is solid | 47% | 51% | 0.12 | 0.467 |
Household diet diversity score | 7.83 | 7.84 | 0.91 | 0.942 |
Number of food coping strategies | 0.47 | 0.4 | 0.19 | 0.542 |
Household demographics | ||||
Age of household head | 44 | 43.6 | 0.66 | 0.23 |
Household size | 10.4 | 10.4 | 0.98 | 0.004** |
Household head education (years) | 1.2 | 1.2 | 0.66 | 0.95 |
Insurance uptake | ||||
Covered by insurance | 0% | 46% | – | – |
Number of observations | 508 | 507 | 1,015 | 1,015 |
. | Control group . | Treatment group . | t-test (p-value) . | F-test (p-value) . |
---|---|---|---|---|
Agricultural variables | ||||
Cotton area cultivated (ha) | 4.03 | 3.77 | 0.23 | 0.862 |
Cotton yields (kg/ha) | 829.4 | 829.3 | 1 | 0.437 |
Cultivates GMO cotton (1 = yes) | 63% | 42% | 1.86e−11*** | 0.166 |
Cotton credit (CFA) | 424,281 | 407,484 | 0.60 | 0.773 |
NPK fertilizer (bags/ha) | 2.29 | 2.38 | 0.17 | 0.752 |
Total area cultivated (ha) | 10.1 | 9.8 | 0.55 | 0.911 |
Rented a field | 34% | 27% | 0.015* | 0.317 |
Cereal production (kg) | 5,490 | 5,309 | 0.58 | 0.635 |
Sesame cultivated (1 = yes) | 21% | 17% | 0.25 | 0.168 |
Tropical livestock unit (TLU) | 10.9 | 9.54 | 0.10 | 0.049* |
Drought shock, 2013/14 | 13% | 17% | 0.080 | 0.257 |
Livestock shock, 2013/14 | 4% | 5% | 0.35 | 0.329 |
Household living standards | ||||
Progress out of poverty index | 36.3 | 36.8 | 0.55 | 0.671 |
Roof of dwelling is solid | 47% | 51% | 0.12 | 0.467 |
Household diet diversity score | 7.83 | 7.84 | 0.91 | 0.942 |
Number of food coping strategies | 0.47 | 0.4 | 0.19 | 0.542 |
Household demographics | ||||
Age of household head | 44 | 43.6 | 0.66 | 0.23 |
Household size | 10.4 | 10.4 | 0.98 | 0.004** |
Household head education (years) | 1.2 | 1.2 | 0.66 | 0.95 |
Insurance uptake | ||||
Covered by insurance | 0% | 46% | – | – |
Number of observations | 508 | 507 | 1,015 | 1,015 |
Source: 2014 baseline and 2015 follow-up surveys.
Note: Variable averages and p-value of the difference of means between treatment and control groups. The F-test is the joint test of significance of the coefficients for a regression of each variable on the two randomized variables: (a) the treatment status; (b) the percentage subsidy variable. *p < 0.05, **p < 0.01, ***p < 0.001.
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