Essays on the Effects of the Supplemental Nutrition Assistance Program on Adult Obesity

This dissertation examines the effects of the Supplemental Nutrition Assistance Program or SNAP, formally known as the Food Stamp Program, on adult weight outcomes. The focus of this work is to uncover the causal effects of the program by applying rigorous identification methods as well as techniques that address data limitations. By understanding the true impact of SNAP on adult obesity, policymakers can pursue appropriate reform measures to avoid unintended consequences of the program while promoting healthy weight outcomes for low-income Americans. The first essay expands on previous work examining the effects of SNAP participation on adult obesity. Previous research provides some evidence that SNAP participation may have a small positive effect on weight gain for women and no significant effect on men. However, additional research has found that misreporting of SNAP participation in surveys is prevalent and that analysis of program effects when participation is misclassified (misreported) can produce estimates that are biased and misleading. Until now, nearly all studies examining the effects of SNAP on adult obesity have ignored the issue of respondent misreporting. This chapter uses state-level policy variables regarding SNAP administration to instrument for SNAP participation for NLSY79 respondents. To address respondent misreporting I adopt an approach based on parametric methods for misclassified binary dependent variables that produces consistent estimates when using instrumental variables. This study is the first to document the considerable rates of SNAP participation under-reporting in the NLSY79 dataset. In addition, this study finds that, although SNAP participation increases adult BMI and the likelihood of being obese, without correcting for misreporting bias the estimates are overstated by nearly 100 percent. The second essay uses the same data but applies a different identification strategy to investigate the intensive margin effects of SNAP on adult obesity. To mitigate the severity of endogenous participation and misreporting biases, I employ a strategy that examines only individuals who report participating in SNAP. I utilize a quasi-experimental variation in SNAP amount per adult due to the timing of school eligibility for children. The identification examines the proportion of school-age children in SNAP households who automatically qualify for in-school nutrition assistance programs. A greater proportion of school-age children eligible for free in-school meals proxies for an exogenous increase in the amount of SNAP benefits available per adult. This study finds that increases in SNAP benefits, as proxied by increases in the proportion of school-age children, reduce BMI and the probability of being severely obese for SNAP adults. Taken together, the results of this dissertation present an intriguing depiction of the effects of SNAP on adult obesity that serves to inform both policymakers and future researchers. On the one hand, the findings indicate that participating in SNAP (extensive margin) leads to weight gain and higher rates of obesity. Yet, on the other hand, increases in the amount of benefits for those who report participating in SNAP (intensive margin) actually leads to reductions in weight and the likelihood of being severely obese

Econometric Evidence Regarding Education and Border Income Performance

This study examines the relationship between education and income in Texas counties that are located along the border with Mexico. Estimation results confirm ealrier research results for this region. Parameter heterogeneity underscores the increased importance of education in the service-oriented labor market that has emerged in recent years in the United States. Simulation results quantify the income gains that could potentially be realized if drop out rates were lowered in the border counties included in the sample.Education; Texas border incomes; applied econometrics

Econometric Evidence Regarding Education and Border Income Performance

This study examines the relationship between education and income in Texas counties that are located along the border with Mexico. Estimation results confirm ealrier research results for this region. Parameter heterogeneity underscores the increased importance of education in the service-oriented labor market that has emerged in recent years in the United States. Simulation results quantify the income gains that could potentially be realized if drop out rates were lowered in the border counties included in the sample

Addressing Barriers to Housing in Reentry Programs Working to Address a Variety of Needs: A Qualitative Study of Second Chance Act Grantees

Using data from an evaluation of three Second Chance Act grantees, we explore formerly incarcerated people’s (FIP) access to housing. This study is unique in that it includes the perspectives of individuals with lived experiences and the insights of the reentry program providers working to meet their overall needs, including in the area of housing. The data come from reentry programs in three regions of the United States. Although the needs of the people with lived experiences have similarities, regional differences exist, particularly related to housing costs and supply, including the availability of transitional housing. Also, variations exist between FIP who are able to live with family compared with those who do not have this option. The three programs this study examined worked to address housing needs in distinctive ways and explores the housing needs of FIP and the strategies the three programs use to address these needs. Incorporating a two-pronged approach, this article includes analyses of (1) interview data with 31 FIP from 3 months to 3 years post-incarceration and (2) interviews and program materials to support formulative case analyses of the housing-related work that program enacted. Through this work, highlighting program efforts to remove barriers to housing for this population, the study seeks to promote the advancement of relevant policy, practice, and research in this arena

Familial hypercholesterolaemia in children and adolescents from 48 countries: a cross-sectional study

Background: Approximately 450 000 children are born with familial hypercholesterolaemia worldwide every year, yet only 2·1% of adults with familial hypercholesterolaemia were diagnosed before age 18 years via current diagnostic approaches, which are derived from observations in adults. We aimed to characterise children and adolescents with heterozygous familial hypercholesterolaemia (HeFH) and understand current approaches to the identification and management of familial hypercholesterolaemia to inform future public health strategies. Methods: For this cross-sectional study, we assessed children and adolescents younger than 18 years with a clinical or genetic diagnosis of HeFH at the time of entry into the Familial Hypercholesterolaemia Studies Collaboration (FHSC) registry between Oct 1, 2015, and Jan 31, 2021. Data in the registry were collected from 55 regional or national registries in 48 countries. Diagnoses relying on self-reported history of familial hypercholesterolaemia and suspected secondary hypercholesterolaemia were excluded from the registry; people with untreated LDL cholesterol (LDL-C) of at least 13·0 mmol/L were excluded from this study. Data were assessed overall and by WHO region, World Bank country income status, age, diagnostic criteria, and index-case status. The main outcome of this study was to assess current identification and management of children and adolescents with familial hypercholesterolaemia. Findings: Of 63 093 individuals in the FHSC registry, 11 848 (18·8%) were children or adolescents younger than 18 years with HeFH and were included in this study; 5756 (50·2%) of 11 476 included individuals were female and 5720 (49·8%) were male. Sex data were missing for 372 (3·1%) of 11 848 individuals. Median age at registry entry was 9·6 years (IQR 5·8-13·2). 10 099 (89·9%) of 11 235 included individuals had a final genetically confirmed diagnosis of familial hypercholesterolaemia and 1136 (10·1%) had a clinical diagnosis. Genetically confirmed diagnosis data or clinical diagnosis data were missing for 613 (5·2%) of 11 848 individuals. Genetic diagnosis was more common in children and adolescents from high-income countries (9427 [92·4%] of 10 202) than in children and adolescents from non-high-income countries (199 [48·0%] of 415). 3414 (31·6%) of 10 804 children or adolescents were index cases. Familial-hypercholesterolaemia-related physical signs, cardiovascular risk factors, and cardiovascular disease were uncommon, but were more common in non-high-income countries. 7557 (72·4%) of 10 428 included children or adolescents were not taking lipid-lowering medication (LLM) and had a median LDL-C of 5·00 mmol/L (IQR 4·05-6·08). Compared with genetic diagnosis, the use of unadapted clinical criteria intended for use in adults and reliant on more extreme phenotypes could result in 50-75% of children and adolescents with familial hypercholesterolaemia not being identified. Interpretation: Clinical characteristics observed in adults with familial hypercholesterolaemia are uncommon in children and adolescents with familial hypercholesterolaemia, hence detection in this age group relies on measurement of LDL-C and genetic confirmation. Where genetic testing is unavailable, increased availability and use of LDL-C measurements in the first few years of life could help reduce the current gap between prevalence and detection, enabling increased use of combination LLM to reach recommended LDL-C targets early in life

Impacts of the Tropical Pacific/Indian Oceans on the Seasonal Cycle of the West African Monsoon

The current consensus is that drought has developed in the Sahel during the second half of the twentieth century as a result of remote effects of oceanic anomalies amplified by local land–atmosphere interactions. This paper focuses on the impacts of oceanic anomalies upon West African climate and specifically aims to identify those from SST anomalies in the Pacific/Indian Oceans during spring and summer seasons, when they were significant. Idealized sensitivity experiments are performed with four atmospheric general circulation models (AGCMs). The prescribed SST patterns used in the AGCMs are based on the leading mode of covariability between SST anomalies over the Pacific/Indian Oceans and summer rainfall over West Africa. The results show that such oceanic anomalies in the Pacific/Indian Ocean lead to a northward shift of an anomalous dry belt from the Gulf of Guinea to the Sahel as the season advances. In the Sahel, the magnitude of rainfall anomalies is comparable to that obtained by other authors using SST anomalies confined to the proximity of the Atlantic Ocean. The mechanism connecting the Pacific/Indian SST anomalies with West African rainfall has a strong seasonal cycle. In spring (May and June), anomalous subsidence develops over both the Maritime Continent and the equatorial Atlantic in response to the enhanced equatorial heating. Precipitation increases over continental West Africa in association with stronger zonal convergence of moisture. In addition, precipitation decreases over the Gulf of Guinea. During the monsoon peak (July and August), the SST anomalies move westward over the equatorial Pacific and the two regions where subsidence occurred earlier in the seasons merge over West Africa. The monsoon weakens and rainfall decreases over the Sahel, especially in August.Peer reviewe

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Search for heavy resonances decaying to two Higgs bosons in final states containing four b quarks

A search is presented for narrow heavy resonances X decaying into pairs of Higgs bosons (H) in proton-proton collisions collected by the CMS experiment at the LHC at root s = 8 TeV. The data correspond to an integrated luminosity of 19.7 fb(-1). The search considers HH resonances with masses between 1 and 3 TeV, having final states of two b quark pairs. Each Higgs boson is produced with large momentum, and the hadronization products of the pair of b quarks can usually be reconstructed as single large jets. The background from multijet and t (t) over bar events is significantly reduced by applying requirements related to the flavor of the jet, its mass, and its substructure. The signal would be identified as a peak on top of the dijet invariant mass spectrum of the remaining background events. No evidence is observed for such a signal. Upper limits obtained at 95 confidence level for the product of the production cross section and branching fraction sigma(gg -> X) B(X -> HH -> b (b) over barb (b) over bar) range from 10 to 1.5 fb for the mass of X from 1.15 to 2.0 TeV, significantly extending previous searches. For a warped extra dimension theory with amass scale Lambda(R) = 1 TeV, the data exclude radion scalar masses between 1.15 and 1.55 TeV

Multi-messenger observations of a binary neutron star merger

On 2017 August 17 a binary neutron star coalescence candidate (later designated GW170817) with merger time 12:41:04 UTC was observed through gravitational waves by the Advanced LIGO and Advanced Virgo detectors. The Fermi Gamma-ray Burst Monitor independently detected a gamma-ray burst (GRB 170817A) with a time delay of ~1.7 s with respect to the merger time. From the gravitational-wave signal, the source was initially localized to a sky region of 31 deg2 at a luminosity distance of 40+8-8 Mpc and with component masses consistent with neutron stars. The component masses were later measured to be in the range 0.86 to 2.26 Mo. An extensive observing campaign was launched across the electromagnetic spectrum leading to the discovery of a bright optical transient (SSS17a, now with the IAU identification of AT 2017gfo) in NGC 4993 (at ~40 Mpc) less than 11 hours after the merger by the One- Meter, Two Hemisphere (1M2H) team using the 1 m Swope Telescope. The optical transient was independently detected by multiple teams within an hour. Subsequent observations targeted the object and its environment. Early ultraviolet observations revealed a blue transient that faded within 48 hours. Optical and infrared observations showed a redward evolution over ~10 days. Following early non-detections, X-ray and radio emission were discovered at the transient’s position ~9 and ~16 days, respectively, after the merger. Both the X-ray and radio emission likely arise from a physical process that is distinct from the one that generates the UV/optical/near-infrared emission. No ultra-high-energy gamma-rays and no neutrino candidates consistent with the source were found in follow-up searches. These observations support the hypothesis that GW170817 was produced by the merger of two neutron stars in NGC4993 followed by a short gamma-ray burst (GRB 170817A) and a kilonova/macronova powered by the radioactive decay of r-process nuclei synthesized in the ejecta

Measurement of the top quark mass using charged particles in pp collisions at root s=8 TeV

Peer reviewe