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Table 5: Pooled Time Series Regression Models Predicting Poverty with Two Measures of
Military Spending, N=1300
1
Percent in Poverty
2
Percent using Food Stamps
Percent in poverty (t-
1)
.879*** (.011)
----
Percent food stamps
(t-1)
----
.887*** (.010)
Percent
unemployment
.228*** (.025)
.141*** (.016)
Inflation
.086*** (.014)
.079*** (.010)
Percent change in
GSP
-.052*** (.011)
-.042*** (.007)
Percent
manufacturing
.001 (.005)
.005 (.004)
Percent college-
educated
.015 (.012)
.016 (.009)
Median family income
.0002 (.007)
-.008 (.005)
Percent black
.008 (.005)
.013*** (.004)
Union density
-.029*** (.008)
-.016** (.005)
Defense
contracts/GSP
-.057* (.024)
-.046** (.018)
Defense
personnel/GSP
.031 (.029)
.036 (.023)
Rho
-.278***
.088**
Deviance
4883.7
3349.2
Note: Unstandardized coefficients (standard errors in parentheses). Estimates for state and
year effects are omitted to save space. To facilitate presentation of regression coefficients,
median family income values were divided by 1,000 before entry into the models.
* P < .05; ** P < .01;
*** P < .001
29
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