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. Author manuscript; available in PMC: 2010 Mar 4.
Published in final edited form as: Econ Dev Cult Change. 2009 Apr;57(3):439–477. doi: 10.1086/596614

Table 9.

Comparing longitudinal difference-in-difference matching with difference-in-difference matching using children of same age pre-program Nearest-neighbor matching and local-linear matching T1998 vs. C2003

Years of education Progressing on time

Age in 2003 Longitudinal
difference-
in-difference
matching
Same age
difference-
in-
difference
matching:
Longitudinal
difference-
in-difference
matching
Same age
difference-
in-
difference
matching:
Nearest
neighbor
Girls

12-14 0.20
(0.13)
0.52
(0.14)
0.091
(0.029)
0.15
(0.05)
Boys
12-14 0.54
(0.12)
0.50
(0.14)
0.082
(0.028)
0.17
(0.04)

Local linear
Bandwidth=0.01
0.14
(0.047)
Girls
12-14
0.23
(0.20)
0.60
(0.19)
0.074
(0.04)
Boys
12-14
0.49
(0.16)
0.63
(0.20)
0.105
(0.03)
0.17
(0.054)

Local linear
Bandwidth=0.2
Girls
12-14 0.29
(0.20)
0.63
(0.18)
0.064
(0.037)
0.140
(0.05)
Boys
12-14 0.54
(0.18)
0.50
(0.18)
0.094
(0.04)
0.165
(0.05)

Local linear:
Bandwidth=0.4
Girls
12-14 0.30
(0.18)
0.62
(0.20)
0.062
(0.036)
0.142
(0.050)
Boys
12-14 0.58
(0.17)
0.50
(0.19)
0.086
(0.032)
0.160
(0.05)

Difference-in-difference estimator, imposing common support (trimming=2%), 5 neighbors. errors (parentheses) computed using bootstrapping with 200 repetitions. Longitudinal difference-in-difference matching using the same children over time to estimate impacts. Same aged difference-in-difference matching uses as pre-program measures those based on children who pre-program were the same age as children post-program-initiation.