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Spillover Effects of Financial Aid for Education: Does Post-9/11 GI Bill Reduce Veteran SNAP Participation? Cover

Spillover Effects of Financial Aid for Education: Does Post-9/11 GI Bill Reduce Veteran SNAP Participation?

Open Access
|Feb 2021

Figures & Tables

Table 1

Descriptive Statistics, ACS (2006–2012).

VARIABLESINDIVIDUALS AGED 23–40VETERANS AGED 23–40
VETERANSNON-VETERANSNEWLY SEPARATEDSEPARATED > 1 YEAR
In SNAP (%)11.617.37.013.2
In College (%)26.312.325.626.6
Associate Degree (%)15.514.715.215.7
Age (mean in years)29.231.228.829.3
Male (%)83.549.483.683.4
Number of Children (mean)0.8261.0570.8100.831
Number of Children under 5 (mean)0.3830.3410.3680.388
Married (%)46.442.651.044.7
Single/Never Married (%)36.044.433.436.9
Divorced/Separated/Widowed (%)17.713.015.618.4
Non-Hispanic White (%)69.168.065.970.2
Non-Hispanic Black (%)15.916.318.315.0
Hispanic (%)10.611.711.110.5
Other race (%)4.44.04.74.3
Living in a metro area (%)74.172.876.473.3
Observations56,7072,048,64913,56443,143

[i] Note: The weighted means are based on American Community Survey Data. Individuals are restricted to those who are US citizens and who have completed high school but haven’t completed bachelor’s degree yet. Information on whether veterans are newly separated is not available after 2012.

Figure 1

SNAP Participation Rates, ACS 2005–2012.

Note: The data points above are based on the ACS data, 2005–2012.

Figure 2

College Enrollment Rates and Proportions with Associate Degree.

Note: The data points above are based on the ACS data, 2005–2012.

Table 2

College and SNAP Enrollment Rates, Age 23–40 (ACS 2006–2012).

IN COLLEGE? →YESNOYESNOYESN/A
IN SNAP? →NOYESYESNON/AYES
OUTCOMES1234IN COLLEGEIN SNAP
YEAR 2006–2012
Veteran23.6%8.8%2.8%64.9%26.3%11.6%
      New Veteran24.0%5.4%1.6%69.0%25.6%7.0%
      Long-term Veteran23.4%10.0%3.2%63.4%26.6%13.2%
Non-Veteran10.0%15.1%2.3%72.7%12.3%17.3%
YEAR 2006–2009 (BEFORE POST-9/11 GI BILL)
Veteran22.5%7.0%1.8%68.6%24.4%8.9%
      New Veteran22.2%4.8%1.0%72.0%23.2%5.8%
      Long-term Veteran22.7%7.9%2.2%67.3%24.8%10.1%
Non-Veteran9.8%12.3%1.7%76.3%11.4%14.0%
YEAR 2010–2012 (AFTER POST-9/11 GI BILL)
Veteran24.6%10.5%3.7%61.3%28.3%14.2%
      New Veteran26.0%6.1%2.3%65.6%28.3%8.4%
      Long-term Veteran24.1%11.9%4.1%59.9%28.2%16.0%
Non-Veteran10.3%18.8%3.1%67.8%13.4%21.9%
Table 3

SNAP Participation and College Enrollment Rates (SIPP 2008 Panel).

VETERAN STATUSAGE 23–40 HS GRADAGE 23–64 HS GRAD
IN SNAPIN COLLEGEIN SNAPIN COLLEGE
Before (May 2008–Aug. 2009)
Veteran3.9%16.7%2.7%5.4%
Non-Veteran9.5%12.6%6.9%6.9%
After (Sep. 2009–Dec. 2012)
Veteran6.0%19.2%4.6%6.4%
Non-Veteran13.1%14.3%10.1%7.6%
Overall (May 2008–Dec. 2012)
Veteran5.4%18.5%4.0%6.3%
Non-Veteran12.2%13.9%9.3%7.5%

[i] Note: Table shows the sample weighted means based on monthly data across all individual veterans and non-veterans in the listed age range who are high school graduates but without bachelor’s degree.

Figure 3

SNAP Participation Rates, SIPP 2008 Panel.

Note: The data points above are based on the SIPP data, 2008–2012.

Table 4

Difference-in-Difference Models of SNAP Participation (ACS Data).

VARIABLESLINEAR PROBABILITY MODELS (LPM)
AGE 23–40AGE 23–40AGE 23–40 (HEAD HH)AGE 23–40 (INCOME ELIG.)AGE 23–29AGE 30–40AGE 23–49
Post (Year>2009)*Veteran–0.025***
(0.006)
Post*Veteran (Separated >1 Year Before)–0.014**
(0.006)
–0.014**
(0.006)
–0.027**
(0.012)
–0.011
(0.009)
–0.022***
(0.007)
–0.012**
(0.006)
Post (Year>2009)*Veteran (Newly Separated)–0.057***
(0.006)
–0.056***
(0.007)
–0.037**
(0.016)
–0.053***
(0.007)
–0.071***
(0.008)
–0.052***
(0.005)
Veteran–0.033**
(0.014)
Veteran (Separated >1 Year Before)–0.023
(0.014)
–0.015
(0.012)
–0.012
(0.022)
–0.017
(0.016)
–0.022
(0.014)
–0.023**
(0.012)
Veteran (Newly Separated)–0.049***
(0.013)
–0.048***
(0.011)
–0.068***
(0.022)
–0.045***
(0.015)
–0.043***
(0.013)
–0.048***
(0.011)
Post (Year>2009)0.087***
(0.018)
0.087***
(0.018)
0.073***
(0.015)
0.119***
(0.026)
0.096***
(0.019)
0.083***
(0.017)
0.077***
(0.017)
Observations2,105,3562,105,3561,393,778951,348848,6251,256,7313,428,569

[i] Note: The model for Head HH is restricted to individuals who are either Household Head or Spouse of Household Head. Model in 4th column is for those who meet SNAP income eligibility. All specifications include the following covariates: age, sex, number of children (overall and under age 5), marital status, race, metropolitan status, year fixed effects, unemployment rate, and interaction of veteran status and unemployment rate. * p < 0.10; ** p < 0.05; *** p < 0.01.

Table 5

Difference-in-Difference Models of SNAP Participation (SIPP Data).

LPM – SNAP
(AGE 23–40)
LPM – SNAP
(AGE 23–49)
Post (Month>Aug. 2009)*Veteran–0.017***
(0.003)
–0.019***
(0.002)
Post (Month>Aug. 2009)0.036***
(0.001)
0.031***
(0.001)
Veteran–0.029***
(0.006)
–0.020***
(0.004)
Observations609,034963,587

[i] Note: The linear probability models (LPM) also include the following covariates: age, sex, number of children, race, marital and metropolitan status, year fixed effects, unemployment rate, and interaction of veteran status and unemployment rate. Standard errors are in parentheses. * p < 0.10; ** p < 0.05; *** p < 0.01.

Table 6

Impact of the Post-9/11 GI Bill on College Enrollment and SNAP Participation Rates (ACS Data).

IN COLLEGE? →YESNOYESNOYESN/A
IN SNAP? →NOYESYESNON/AYES
OUTCOMES1234IN COLLEGEIN SNAP
Veteran
      DID Effect0.026**–0.028**0.006**–0.0040.032**–0.022**
      Std. Error(0.004)(0.003)(0.001)(0.004)(0.004)(0.004)
Long-term Veteran
      DID Effect0.026**–0.021**0.008**–0.013**0.034**–0.013**
      Std. Error(0.005)(0.003)(0.001)(0.005)(0.006)(0.004)
New Veteran
      DID Effect0.031**–0.042**–0.0030.0140.029**–0.045**
      Std. Error(0.011)(0.004)(0.002)(0.011)(0.011)(0.005)

[i] Note: The table shows estimated differences in predicted probabilities based on Bivariate Probit model.

Language: English
Page range: 110 - 122
Submitted on: Sep 15, 2020
Accepted on: Nov 11, 2020
Published on: Feb 8, 2021
Published by: Virginia Tech Publishing
In partnership with: Paradigm Publishing Services

© 2021 Projesh Ghosh, Sarmistha Pal, Sebastian Negrusa, published by Virginia Tech Publishing
This work is licensed under the Creative Commons Attribution 4.0 License.