Table 2

Treatment effects of main outcomes

	(1) Control mean	(2) Treatment effect	(3) P value	(4) q value	(5) 95% CI	(6) N	(7) Data
A. Unweighted
Covid practices index	0.161	0.059	0.215	0.239	(−0.034 to 0.153)	633	R1
Food security index	−0.056	0.144**	0.010	0.022	(0.035 to 0.254)	1284	R1 and R3
Food consumption	117.819	2.575	0.676	0.511	(−9.520 to 14.670)	630	R2
Psychological index	−0.114	0.241***	0.003	0.009	(0.085 to 0.397)	632	R1
B. Weighted by inverse probability weights
Covid practices index	0.161	0.062	0.188	0.204	(−0.031 to 0.156)	633	R1
Food security index	−0.056	0.144**	0.011	0.023	(0.034 to 0.255)	1284	R1 and R3
Food consumption	117.819	2.205	0.736	0.468	(−10.621 to 15.031)	630	R2
Psychological index	−0.114	0.245***	0.003	0.008	(0.086 to 0.404)	632	R1

The table reports treatment effects of four main outcomes. Panel A reports the unadjusted treatment effects and panel B is adjusted by inverse probability weights. 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) and (3) show the treatment effects estimates and the p values, respectively. BKY (2006) sharpened two-stage q values based on the four outcomes are shown in column (4). CIs are reported in column (5). Columns (6) and (7) show the number of observations and the survey round in which the data are collected. 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.