\(~\)
1. Three countries & three different types of weights (Nigeria, Uganda and Kenya VACS data)
Fixed Effects Logistic Regression
2. Twelve countries (Botswana, Colombia, Cote dIvoire, El Salvador, Honduras, Kenya,Lesotho, Mozambique, Namibia, Nigeria, Uganda and Zimbabwe VACS data)
3. Five countries (Cote dIvoire, Kenya,Lesotho, Mozambique, Namibia VACS data)
Fixed effects logistic regression analysis
4. Summary of weights
Table 4.1. Distribution of individual weights; Cote d’Ivoire, Kenya, Lesotho, Mozambique and Namibia VACS data
|
COUNTRY
|
Mean
|
Median
|
SD
|
Min
|
Max
|
q1
|
q3
|
|
Cote dIvoire
|
2164.88787
|
1418.74245
|
2149.39593
|
170.800940
|
23602.597
|
900.38543
|
2604.21268
|
|
Kenya
|
5478.35413
|
3879.62596
|
6127.92573
|
139.499009
|
91336.922
|
2178.17542
|
6548.79578
|
|
Lesotho
|
57.38084
|
32.26138
|
71.26137
|
6.624282
|
1078.125
|
23.14613
|
60.03209
|
|
MOZ
|
1938.48157
|
1046.41116
|
2222.93738
|
88.297560
|
21656.206
|
515.99036
|
2615.58122
|
|
Namibia
|
99.50141
|
26.55948
|
154.74177
|
4.279598
|
1905.067
|
13.64271
|
144.19211
|
Table 4.2. Distribution of combined weights; Cote d’Ivoire, Kenya, Lesotho, Mozambique and Namibia VACS data
|
COUNTRY
|
Mean
|
Median
|
SD
|
Min
|
Max
|
q1
|
q3
|
|
Cote dIvoire
|
3182.38517
|
2085.55141
|
3159.61202
|
251.077382
|
34695.8177
|
1323.566584
|
3828.19264
|
|
Kenya
|
9148.85139
|
6478.97536
|
10233.63597
|
232.963345
|
152532.6595
|
3637.552955
|
10936.48895
|
|
Lesotho
|
23.52614
|
13.22717
|
29.21716
|
2.715956
|
442.0313
|
9.489913
|
24.61316
|
|
MOZ
|
2287.40825
|
1234.76517
|
2623.06610
|
104.191121
|
25554.3231
|
608.868629
|
3086.38584
|
|
Namibia
|
67.66096
|
18.06044
|
105.22441
|
2.910127
|
1295.4454
|
9.277046
|
98.05063
|