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Three Essays on the Supplemental Nutrition Assistance Program (SNAP)
Three Essays on the Supplemental Nutrition Assistance Program (SNAP)
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105212
- ISBN
- 9798291564097
- DDC
- 641
- 저자명
- Wei, Min-Fang.
- 서명/저자
- Three Essays on the Supplemental Nutrition Assistance Program (SNAP)
- 발행사항
- [Sl] : University of Illinois at Urbana-Champaign, 2023
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2023
- 형태사항
- 124 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-02, Section: B.
- 주기사항
- Advisor: Gundersen, Craig.
- 학위논문주기
- Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2023.
- 초록/해제
- 요약Food insecurity has emerged as a leading, if not the leading, indicator of well-being among vulnerable persons in the United States. The Supplemental Nutrition Assistance Program (SNAP, formerly known as the Food Stamp Program) is the central component of the social safety net against food insecurity. Extensive evidence has shown that SNAP plays a pivotal role in reducing the prevalence of food insecurity; still, a high proportion of SNAP recipients are food insecure. To explore these mysteries, this dissertation uses the 2018 Survey of Income and Program Participation (SIPP) and examines SNAP from three aspects. First, is the eligible population being accurately identified? Second, following closely to the previous question, how does the eligibility issue influence the examination of SNAP's impact on food insecurity? And third, how is the probability of food insecurity related to the structure of the SNAP benefit formula?The first chapter of my dissertation studies the extent to which the literature addressing SNAP's impact accurately identifies the eligible population. Eligibility for SNAP depends on three criteria - gross income, net income, and assets that each needs to be below a threshold. Partly due to the lack of information needed to calculate the net income and assets on nationally representative datasets, existing studies define eligibility based on only the gross income criterion (and ignore the asset and net income criteria). If there is a misclassification of who is SNAP-eligible, these findings could be biased. As the first comprehensive investigation of SNAP's eligibility issues, we find that among households at lower risk of food insecurity (e.g., seniors, homeowners), over a third of those who are eligible under the gross income criterion is, in fact, ineligible under the complete criteria. In addition, in an effort to increase SNAP enrollments, states have the flexibility to waive the asset test or set a more lenient gross income criterion. We document that the former policy does increase the proportion of households eligible for SNAP, whereas the latter still leaves many ineligible. We also show that the impact of SNAP differs by the eligible samples being applied. In particular, the gap in food insecurity rates between participants and non-participants is markedly lower when the asset and gross income tests are applied rather than one just the gross income test is applied.The second chapter contributes to a parallel frame of work that has examined the adequacy of the SNAP maximum benefit as a means to address the relatively high food insecurity among SNAP recipients. Here we examine the relationship between food insecurity and two components of benefit determination - gross income and deductions - among SNAP recipients. Our primary findings are three-fold. First, we find that, in most specifications, food insecurity and very low food security (VLFS) rates are lower among those with higher gross incomes, even after controlling for relevant covariates. This relationship is more pronounced for VLFS than for food insecurity. Second, the deductions used to construct net income are positively related to food insecurity and VLFS. Insofar as deductions are designed to be higher for those in greater need, this finding is evidence of effective targeting of SNAP benefits. Third, we find potential scope for SNAP to allocate benefits more effectively to households with someone with a disability.The third chapter primarily builds on the findings in the first chapter; namely, the truly eligible SNAP population under the complete set of criteria differs from those that are only gross income eligible. Insofar as the latter category has lower food insecurity rates, this could distort comparisons between SNAP-eligible participants and non-participants and might bias the estimation of SNAP's impact on food insecurity. In this paper, we apply a partial identification approach under several classifications of eligible samples. Specifically, we examine how the average treatment effect (ATE) of SNAP on household food insecurity varies by imposing a partial or a complete set of eligibility tests. We find that, consistent with existing literature, SNAP reduces food insecurity under the majority of specifications of eligible samples. We also show that the net impact of SNAP is more substantial when accounting for the asset test along with the gross income test. These results are, in the main, similar to that using the eligible samples under the complete set of SNAP criteria.
- 일반주제명
- Food science
- 일반주제명
- Nutrition
- 키워드
- Food insecurity
- 키워드
- Food stamps
- 키워드
- Eligible samples
- 기타저자
- University of Illinois at Urbana-Champaign Agr & Consumer Economics
- 기본자료저록
- Dissertations Abstracts International. 87-02B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■1001 ▼aWei, Min-Fang.
■24510▼aThree Essays on the Supplemental Nutrition Assistance Program (SNAP)
■260 ▼a[Sl]▼bUniversity of Illinois at Urbana-Champaign▼c2023
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2023
■300 ▼a124 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-02, Section: B.
■500 ▼aAdvisor: Gundersen, Craig.
■5021 ▼aThesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2023.
■520 ▼aFood insecurity has emerged as a leading, if not the leading, indicator of well-being among vulnerable persons in the United States. The Supplemental Nutrition Assistance Program (SNAP, formerly known as the Food Stamp Program) is the central component of the social safety net against food insecurity. Extensive evidence has shown that SNAP plays a pivotal role in reducing the prevalence of food insecurity; still, a high proportion of SNAP recipients are food insecure. To explore these mysteries, this dissertation uses the 2018 Survey of Income and Program Participation (SIPP) and examines SNAP from three aspects. First, is the eligible population being accurately identified? Second, following closely to the previous question, how does the eligibility issue influence the examination of SNAP's impact on food insecurity? And third, how is the probability of food insecurity related to the structure of the SNAP benefit formula?The first chapter of my dissertation studies the extent to which the literature addressing SNAP's impact accurately identifies the eligible population. Eligibility for SNAP depends on three criteria - gross income, net income, and assets that each needs to be below a threshold. Partly due to the lack of information needed to calculate the net income and assets on nationally representative datasets, existing studies define eligibility based on only the gross income criterion (and ignore the asset and net income criteria). If there is a misclassification of who is SNAP-eligible, these findings could be biased. As the first comprehensive investigation of SNAP's eligibility issues, we find that among households at lower risk of food insecurity (e.g., seniors, homeowners), over a third of those who are eligible under the gross income criterion is, in fact, ineligible under the complete criteria. In addition, in an effort to increase SNAP enrollments, states have the flexibility to waive the asset test or set a more lenient gross income criterion. We document that the former policy does increase the proportion of households eligible for SNAP, whereas the latter still leaves many ineligible. We also show that the impact of SNAP differs by the eligible samples being applied. In particular, the gap in food insecurity rates between participants and non-participants is markedly lower when the asset and gross income tests are applied rather than one just the gross income test is applied.The second chapter contributes to a parallel frame of work that has examined the adequacy of the SNAP maximum benefit as a means to address the relatively high food insecurity among SNAP recipients. Here we examine the relationship between food insecurity and two components of benefit determination - gross income and deductions - among SNAP recipients. Our primary findings are three-fold. First, we find that, in most specifications, food insecurity and very low food security (VLFS) rates are lower among those with higher gross incomes, even after controlling for relevant covariates. This relationship is more pronounced for VLFS than for food insecurity. Second, the deductions used to construct net income are positively related to food insecurity and VLFS. Insofar as deductions are designed to be higher for those in greater need, this finding is evidence of effective targeting of SNAP benefits. Third, we find potential scope for SNAP to allocate benefits more effectively to households with someone with a disability.The third chapter primarily builds on the findings in the first chapter; namely, the truly eligible SNAP population under the complete set of criteria differs from those that are only gross income eligible. Insofar as the latter category has lower food insecurity rates, this could distort comparisons between SNAP-eligible participants and non-participants and might bias the estimation of SNAP's impact on food insecurity. In this paper, we apply a partial identification approach under several classifications of eligible samples. Specifically, we examine how the average treatment effect (ATE) of SNAP on household food insecurity varies by imposing a partial or a complete set of eligibility tests. We find that, consistent with existing literature, SNAP reduces food insecurity under the majority of specifications of eligible samples. We also show that the net impact of SNAP is more substantial when accounting for the asset test along with the gross income test. These results are, in the main, similar to that using the eligible samples under the complete set of SNAP criteria.
■590 ▼aSchool code: 0090.
■650 4▼aFood science
■650 4▼aNutrition
■653 ▼aFood insecurity
■653 ▼aAverage treatment effect
■653 ▼aFood Stamp Program
■653 ▼aFood stamps
■653 ▼aEligible samples
■690 ▼a0503
■690 ▼a0511
■690 ▼a0359
■690 ▼a0570
■71020▼aUniversity of Illinois at Urbana-Champaign▼bAgr & Consumer Economics.
■7730 ▼tDissertations Abstracts International▼g87-02B.
■790 ▼a0090
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17359774▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.


