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. Author manuscript; available in PMC: 2011 Dec 9.
Published in final edited form as: J Policy Anal Manage. 2011 Spring;30(2):310–333. doi: 10.1002/pam.20565

Table 4.

NEWWS LFA program impacts on the probability of experiencing patterns of employment and job loss.

High Employment (≥9 Quarters)
Low Employment (< 9 quarters)
Continuously
Unemployed
No Job Loss 1 Job Loss 2 + Job Losses No Job Loss 1 Job Loss 2 + Job Losses


Control
Group
(CG)
Program
Impact
(PI)
CG PI CG PI CG PI CG PI CG PI CG PI
Atlanta 0.09 −0.009
(0.031)
0.14 0.075
(0.040)
0.17 −0.016
(0.039)
0.20 0.016
(0.042)
0.03 0.026
(0.022)
0.17 −0.053
(0.037)
0.19 −0.04
(0.041)
Grand Rapids 0.09 −0.065*
(0.028)
0.07 0.088*
(0.038)
0.15 0.001
(0.041)
0.29 0.043
(0.056)
0.07 −0.054*
(0.025)
0.09 −0.010
(0.035)
0.25 0.00
(0.052)
Riverside 0.31 −0.087
(0.053)
0.12 −0.007
(0.038)
0.11 0.004
(0.038)
0.05 0.176**
(0.036)
0.07 −0.046
(0.028)
0.20 −0.040
(0.049)
0.14 0.00
(0.042)

Note: Estimates are the coefficients on a dichotomous variable indicating treatment status in 21 separate OLS regression models predicting the probability of experiencing each of the seven employment/job loss pattern in each of the three sites. Standard errors shown in parentheses. High versus low employment is defined by median quarters worked. NEWWS five-year follow-up data were used in the analysis. Baseline covariates included in all models are earnings in year prior to RA divided by 1,000, earnings squared in year prior to RA divided by 1,000, time on AFDC, high school diploma, parent 18 or under at child’s birth, never married, separated, number of kids, black, white, Latino, length of follow-up, employed in year prior to RA, age of youngest child, and child gender.

p < 0.10

*

p < 0.05

**

p < 0.01.