The name is absent



Table 7: Overview for Children of Non-Fostering Households

Panel A: Summary Statistics

Panel B: School Enrollment Transitions (1999-2000)

(1)

Children of Non-

Fostering Households

(2)

Children of Non-

_____________________________________________________________Fostering Households

Enrollment Rate (% currently enrolled)

18.3

Never enrolled (Not enrolled 1999, Not enrolled 2000)

[Column %]
76.4

Average Age

9.4

Discontinued Enrollment (Enrolled1999, Not enrolled 2000)

2.8

Median Age

9

Newly Enrolled (Not enrolled 1999, Enrolled 2000)

6.1

Percentage Male

50.9

Enrolled both years (Enrolled 1999, Enrolled 2000)

14.7

Number of Children

^^470

Number of Children

^^423

Panel C: Difference in Differences Comparing Average School Enrollment a

Foster Children

(N=202)

Children of Non-

Fostering Households

____________(N=423)

Difference

Pre-Fostering

0.124

0.175

-0.051

[0.023]

[0.018]

[0.032]

Post-Fostering

0.154

0.208

-0.054

[0.025]

[0.020]

[0.034]

Difference

0.030

0.033

-0.003

[0.034]

[0.026]

[0.046]

Note: Statistics in the table are based on children aged 5 years and older. Panel A contains summary statistics, similar to Table 1, for the children
of non-fostering households, and Panel B contains school enrollment transition information, similar to Table 2, for these children. In Panel B, I
use 1999 and 2000 enrollment rates for these children, but results are similar using 1998 and 1999 enrollment rates. In Panel B, I exclude 47
children aged 4 in 1999 because they are too young to be enrolled. Data source: Author’s survey.

a Panel C presents difference in differences results comparing average school enrollment for foster children with children from non-fostering
households using pre and post-fostering enrollment for the foster children and 1999 and 2000 enrollment for the other children, with similar results
using 1998 and 1999 enrollment for these other children.

33



More intriguing information

1. Modeling industrial location decisions in U.S. counties
2. The urban sprawl dynamics: does a neural network understand the spatial logic better than a cellular automata?
3. The name is absent
4. European Integration: Some stylised facts
5. The name is absent
6. Evaluating the Impact of Health Programmes
7. Large Scale Studies in den deutschen Sozialwissenschaften:Stand und Perspektiven. Bericht über einen Workshop der Deutschen Forschungsgemeinschaft
8. Wirtschaftslage und Reformprozesse in Estland, Lettland, und Litauen: Bericht 2001
9. Sectoral specialisation in the EU a macroeconomic perspective
10. The name is absent
11. The name is absent
12. Campanile Orchestra
13. Thresholds for Employment and Unemployment - a Spatial Analysis of German Regional Labour Markets 1992-2000
14. Retirement and the Poverty of the Elderly in Portugal
15. Spatial agglomeration and business groups: new evidence from Italian industrial districts
16. The name is absent
17. sycnoιogιcaι spaces
18. The name is absent
19. Unilateral Actions the Case of International Environmental Problems
20. AN IMPROVED 2D OPTICAL FLOW SENSOR FOR MOTION SEGMENTATION