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GHOSH, PROJESH P (2) answer(s).
 
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1
ID:   189452


Do Veterans with Disabilities Respond Differently to the Post-9/11 GI Bill? / Negrusa, Sebastian; Ghosh, Projesh P; Pal, Sarmistha   Journal Article
Negrusa, Sebastian Journal Article
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Summary/Abstract Veterans exit military service with varying degrees of service-connected disabilities (SCD). The GI Bill provides educational benefits, which increased substantially in 2009 (‘Post-9/11 GI Bill’). Exploiting the exogeneity of SCD and using a difference-in-difference approach, we find that SCD veterans are 16.2 percent more likely to attend college than non-SCD veterans due to the Post-9/11 GI Bill, an effect driven by lower-level SCD veterans attending public colleges. After the benefit increase many lower-level SCD veterans switch from being employed to attending college. We provide insights into the disabled veterans’ college-employment tradeoffs and find that the benefit likely helps disabled veterans improve their labor market outcomes. Future changes in the distribution of SCD levels among veterans will translate into changes in the demand for higher education. Also, the high responsiveness to a more generous financial aid for higher education among disabled veterans may provide useful insights into the effective design of similar subsidies for civilian disabled populations.
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2
ID:   160092


Health Insurance, Health Conditions, and Veteran Health Care Utilization / Ghosh, Projesh P   Journal Article
Ghosh, Projesh P Journal Article
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Summary/Abstract The utilization of health care services by veterans has received much attention in recent years. However, the impact of the large array of factors affecting the veterans’ demand for health care services remains understudied. These factors include individual socio-demographic and economic characteristics, the availability of various sources of health insurance, and the prevalence of medical conditions. We use public data to analyze how veterans’ utilization of health care services varies with these factors. We also analyze how the reliance on VA services varies when alternative sources of health insurance are available to veterans. Based on the estimated relationships, we use a micro-simulation model to forecast future health care utilization, both inside and outside of VA.
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