Table 8.

Differential attrition analysis by baseline background characteristics

	Controls			Treatment			Difference Among Those Lost to Attrition
	Lost to Attrition (1)	Panel (2)	p-value (3)	Lost to Attrition (4)	Panel (5)	p-value (6)	Col(1) - Col(4) (7)	p-value (8)
Recipient’s age	32.099	29.246	0.002	31.064	29.585	0.046	1.035	0.425
7 + years of education	0.330	0.266	0.054	0.371	0.315	0.181	−0.041	0.488
Married/cohabiting	0.717	0.716	0.984	0.669	0.752	0.027	0.047	0.403
Divorced/widow/separated/never married	0.283	0.284	0.984	0.331	0.248	0.027	−0.047	0.403
Per capita monthly expenditures (ZMW)	39.246	39.651	0.886	43.752	40.888	0.262	−4.507	0.241
Number of children ages 0–5	1.973	1.909	0.294	1.833	1.897	0.365	0.140	0.118
Number of children ages 6–18	1.670	1.776	0.474	1.888	1.823	0.561	−0.218	0.252
Number of females ages 19+	1.163	1.076	0.016	1.171	1.101	0.139	−0.008	0.898
Number of males ages 19+	0.760	0.792	0.500	0.783	0.864	0.105	−0.023	0.740
Kalabo District	0.285	0.345	0.283	0.263	0.353	0.045	0.023	0.831
Kaputa District	0.525	0.290	0.000	0.504	0.287	0.000	0.021	0.870
Shangombo District	0.190	0.365	0.000	0.233	0.360	0.006	−0.043	0.619

Notes: p-values are reported from Wald tests on the equality of means of the attrition group and panel for columns (3) and (6) and treatment and control for column (8). Standard errors are clustered at the CWAC level. Of the 2,492 female transfer recipients at baseline 2,031 are in the panel sample and 444 lost to attrition at any wave and 17 lost to missing covariate data at baseline. We show unlogged values of per capital monthly expenditures for mean comparisons, however control for logged values in regression analyses.