Treatment effects by cohort
| (1) Control mean | Cohort 1 | Cohort 2 | (8) t-test (2)-(5) | (9) N | |||||
| (2) Treatment effect | (3) P value | (4) 95% CI | (5) Treatment effect | (6) P value | (7) 95% CI | ||||
| Covid practices index | 0.161 | 0.073 | 0.201 | (−0.039 to 0.185) | 0.044 | 0.454 | (−0.071 to 0.159) | 0.029 | 633 |
| Food Security Index | −0.056 | 0.208*** | 0.002 | (0.077 to 0.339) | 0.075 | 0.276 | (−0.060 to 0.209) | 0.133* | 1284 |
| Food consumption | 117.819 | 4.278 | 0.561 | (−10.167 to 18.722) | 0.638 | 0.934 | (−14.423 to 15.700) | 3.640 | 630 |
| Psychological Index | −0.114 | 0.375*** | 0.000 | (0.188 to 0.563) | 0.097 | 0.318 | (−0.094 to 0.288) | 0.278** | 632 |
The table reports treatment effects by cohort of four main outcomes. These indices are created using the method described in Anderson.40 All regressions control household characteristics including the gender of household head, household size, time in settlement and different ethnicities. The treatment effects of Food Consumption are calculated using ANCOVA analysis by controlling for the baseline values of the outcomes. The treatment effects of Covid Practices Index, Food Security Index and Psychological Index are calculated using OLS regression without baseline adjustment due to the unavailability of corresponding baseline measurements. Column (1) shows the means of control group. Column (2)–(4) show the treatment effects estimates, the p values and CIs for cohort 1. Column (5)–(7) show the corresponding results for cohort 2. The t-test differences of treatment effects between cohort 1 and cohort 2 are reported in column (8). Columns (9) and (10) show the number of observations and the survey round in which the data are collected, respectively. Significance levels correspond with *** p<0.01 for 1%, ** p<0.05 or 5% and * p<0.1 for 10% respectively
ANCOVA, analysis of covariance; OLS, ordinary least squares.