Examining the Association between Racialized Economic Threat and White Suicide in the United States, 2000–2016

2022 ◽  
pp. 002214652110698
Author(s):  
Simone Rambotti

Suicide is steadily rising. Many blamed worsening economic conditions for this trend. Sociological theory established clear pathways between joblessness and suicide focused on status threat, shame, and consequent disruption of social relationships. However, recent empirical research provides little support for a link between unemployment and suicide. I attempt to reconcile this contradiction by focusing on white suicide and white employment-to-population ratio. Whiteness is not just a default category but a pervasive ideology that amplifies the effects of status loss. The white employment-to-population ratio represents a form of racialized economic threat and accounts for discouraged workers who have exited the labor force. I use longitudinal hybrid models with U.S. state-level data, 2000 to 2016, and find that decreasing employment is associated with increasing suicide among the white population and white men. I discuss this study’s contributions to the literature on suicide and joblessness and the emerging scholarship on whiteness and health.

2020 ◽  
Vol 7 (6) ◽  
pp. 491-507
Author(s):  
Chad A. Malone ◽  
Ryan D. King

This research examines the association between economic insecurity and imprisonment rates in the United States. Building on Garland’s thesis about punishment and late modernity, it is hypothesized that rising economic insecurity in a population is associated with an increase in the imprisonment rate. This hypothesis is tested with state-level data for the years 1986–2013. Results indicate a robust association between changes in economic insecurity, measured as the percentage of households in a state losing a quarter or more of their income in a single year, and changes in imprisonment rates. This finding suggests that economic insecurity is not only relevant for explaining large-scale shifts in penal philosophy and practice, as prior sociological theory has argued. It also explains some of the year-to-year variation in imprisonment rates and points to another way in which inequality is associated with punishment.


2021 ◽  
Vol 10 (6) ◽  
pp. 206
Author(s):  
Christopher D’Amato ◽  
Bryan Holmes ◽  
Ben Feldmeyer

Economic threat arguments within the broader racial/ethnic threat theory suggest that economic competition between minorities and Whites encourages the majority group to apply formal social controls on minorities to maintain their advantaged positions. Prior sentencing research has given limited attention to economic threat and has only done so using cross-sectional measures, which does not capture changing economic circumstances (a key element of racial/ethnic threat). The goal of this study is to provide a test of economic threat—and racial/ethnic threat more broadly—utilizing time variant measures. To achieve this goal, we use case-level data from the Minnesota Sentencing Guidelines Commission (N = 122,666) and county-level data from the United States Census Bureau. Multilevel regression models reveal partial but limited support for economic threat. Specifically, counties with a growing portion of minorities living above the poverty line between 2000 and 2010 had larger minority disadvantages (in comparison to Whites) at incarceration. However, economic threat measures do not significantly contextualize minority–White sentence length differences, while the broader racial/ethnic threat measures do not significantly influence minority–White outcomes at the incarceration or sentencing length decision. The results suggest that economic threat may explain a small but limited portion of the racial disparities identified.


2020 ◽  
Vol 8 (2) ◽  
pp. 240-267
Author(s):  
Luke Petach

Applying previously unused regional data to the problem of wage- versus profit-led growth, this paper estimates a demand-and-distribution system for a panel of US states for the years 1974 to 2014. Using variation in minimum-wage policy across states as an instrument for the labor share, I find that – at a regional level – the United States is strongly wage-led. In the absence of a satisfactory econometric identification strategy, I estimate the distributive curve non-parametrically. The results suggest the presence of significant non-linearities, with US states exhibiting profit-squeeze dynamics at low levels of capacity utilization and wage-squeeze dynamics at high levels. These results suggest difficulties for wage-led policy akin to a coordination failure.


2021 ◽  
Author(s):  
Charlie B. Fischer ◽  
Nedghie Adrien ◽  
Jeremiah J. Silguero ◽  
Julianne J. Hopper ◽  
Abir I. Chowdhury ◽  
...  

AbstractMask wearing has been advocated by public health officials as a way to reduce the spread of COVID-19. In the United States, policies on mask wearing have varied from state to state over the course of the pandemic. Even as more and more government leaders encourage or even mandate mask wearing, many citizens still resist the notion. Our research examines mask wearing policy and adherence in association with COVID-19 case rates. We used state-level data on mask wearing policy for the general public and on proportion of residents who stated they always wear masks in public. For all 50 states and the District of Columbia (DC), these data were abstracted by month for April ⍰ September 2020 to measure their impact on COVID-19 rates in the subsequent month (May ⍰ October 2020). Monthly COVID-19 case rates (number of cases per capita over two weeks) >200 per 100,000 residents were considered high. Fourteen of the 15 states with no mask wearing policy for the general public through September reported a high COVID-19 rate. Of the 8 states with at least 75% mask adherence, none reported a high COVID-19 rate. States with the lowest levels of mask adherence were most likely to have high COVID-19 rates in the subsequent month, independent of mask policy or demographic factors. Mean COVID-19 rates for states with at least 75% mask adherence in the preceding month was 109.26 per 100,000 compared to 249.99 per 100,000 for those with less adherence. Our analysis suggests high adherence to mask wearing could be a key factor in reducing the spread of COVID-19. This association between high mask adherence and reduced COVID-19 rates should influence policy makers and public health officials to focus on ways to improve mask adherence across the population in order to mitigate the spread of COVID-19.


2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Rohit S. Loomba ◽  
Enrique G. Villarreal ◽  
Juan S. Farias ◽  
Ronald A. Bronicki ◽  
Saul Flores

Introduction. Intensive care has played a pivotal role during the COVID-19 pandemic as many patients developed severe pulmonary complications. The availability of information in pediatric intensive care units (PICUs) remains limited. The purpose of this study is to characterize COVID-19 positive admissions (CPAs) in the United States and to determine factors that may impact those admissions. Materials and Methods. This is a retrospective cohort study using data from the COVID-19 Virtual Pediatric System (VPS) dashboard containing information regarding respiratory support and comorbidities for all CPAs between March and April 2020. The state-level data contained 13 different factors from population density, comorbid conditions, and social distancing score. The absolute CPA count was converted to frequency using the state’s population. Univariate and multivariate regression analyses were performed to assess the association between CPA frequency and admission endpoints. Results. A total of 205 CPAs were reported by 167 PICUs across 48 states. The estimated CPA frequency was 2.8 per million children in a one-month period. A total of 3,235 tests were conducted of which 6.3% were positive. Children above 11 years of age comprised 69.7% of the total cohort and 35.1% had moderated or severe comorbidities. The median duration of a CPA was 4.9 days (1.25–12.00 days). Out of the 1,132 total CPA days, 592 (52.2%) involved mechanical ventilation. The inpatient mortalities were 3 (1.4%). Multivariate analyses demonstrated an association between CPAs with greater population density (beta coefficient 0.01, p < 0.01 ). Multivariate analyses also demonstrated an association between pediatric type 1 diabetes mellitus with increased CPA duration requiring advanced respiratory support (beta coefficient 5.1, p < 0.01 ) and intubation (beta coefficient 4.6, p < 0.01 ). Conclusions. Inpatient mortality during PICU CPAs is relatively low at 1.4%. CPA frequency seems to be impacted by population density. Type 1 DM appears to be associated with increased duration of HFNC and intubation. These factors should be included in future studies using patient-level data.


1998 ◽  
Vol 37 (1-4) ◽  
pp. 209-217 ◽  
Author(s):  
K Forde ◽  
A Hillberg-Seitzinger ◽  
D Dargatz ◽  
N Wineland

2011 ◽  
Vol 43 (3) ◽  
pp. 443-451 ◽  
Author(s):  
Genti Kostandini ◽  
Elton Mykerezi ◽  
Eftila Tanellari

We investigate the determinants of organic farming in the United States. State-level data show that the organic farming sector has grown over the last decade, but growth has been very heterogeneous with few states accounting for most of the growth. Further analyses of county data reveal that favorable natural amenities, water for irrigation, and government payments have a positive effect on most measures of organic farming used here. Results further point out that organic farming operations are more popular among young farmers. Adjacency to metro areas is also an important determinant for the number of organic operations. Organic farming is more important for the agricultural sector of the areas that are somewhat remote but that does not appear to be the case for very remote rural areas.


2018 ◽  
Vol 18 (1) ◽  
pp. 61-92
Author(s):  
Loren Collingwood ◽  
Ashley Jochim ◽  
Kassra A. R. Oskooii

Charter schools enjoy support among Republican and Democratic lawmakers in states and Congress, but little research has examined their support among the electorate. We take advantage of Washington’s 2012 charter school ballot initiative—the first voter-approved charter initiative in the United States—to shed light on the politics of school choice at the mass level. Because in-depth, individual-level voter data are often unavailable in state-level elections, we leverage extensive precinct- and district-level data to examine patterns of support and opposition toward the charter school initiative, focusing on how partisanship, ideology, and demographic factors serve to unify or divide voters. Our analysis reveals that the coalition of supporters cut across usual partisan and demographic cleavages, producing somewhat strange bedfellows. This finding has important implications for the strategies advocacy groups may consider as they seek to expand or limit school choice programs via ballot initiatives as opposed to the statehouse, and provides suggestive evidence regarding the evolving shapers of voter support for school choice and ballot initiatives more generally.


2011 ◽  
Vol 113 (5) ◽  
pp. 1031-1066
Author(s):  
Dongbin Kim ◽  
John L. Rury

Background/Context American higher education witnessed rapid expansion between 1960 and 1980, as colleges and universities welcomed millions of new students. The proportion of 19- and 20-year-old students living in dormitories, rooming houses, or other group quarters fell from more than 40% to slightly less than a third. At the same time, the proportion of students in this age group living at home with one or two parents increased from about 35% to nearly 47%, becoming the largest segment of the entering collegiate population in terms of residential alternatives. While growing numbers of high school graduates each fall headed off to campus dormitories, even more enrolled in commuter institutions close to home, gaining their initial collegiate experience in circumstances that may not have differed very much from what they had experienced in secondary school. The increased numbers of commuter students, whether they attended two-year or four-year institutions, however, have received little attention from historians and other social scientists. Purpose/Objective/Research Question/Focus of Study This study focuses on students aged 19 and 20 who lived with parents and commuted from home during the years from 1960 to 1980, when commuters became the largest category of beginning college students. It also addresses the question of how this large-scale change affected the social and economic profile of commuter students in the United States. In this regard, this study can be considered an evaluation of policy decisions intended to widen access to postsecondary institutions. Did the growing number of students living at home represent a democratic impulse in higher education, a widening of access to include groups of students who had previously been excluded from college? The study approaches this question by examining changes in the characteristics and behavior of commuter students across the country. Recognizing the variation in enrollment rates and other educational indices by state or region, this study also focuses on how the individual behavior at the point of college entry is affected by these and other characteristics of the larger social setting, particularly from a historical perspective. Research Design To grasp the larger picture of historical trends in college enrollment during the period of study, particularly in the growth of commuter students, the first part of the study utilizes state-level data and identifies changes in the number of entering college students who were commuters. In the process, descriptive statistics and ordinary least squares regression are used to identify factors associated with the proportion of college students living with their parents across states. In the second stage of analysis, hierarchical generalized linear modeling, utilizing both state- and individual-level data, is used to consider different layers of contextual effects on individual decisions to enroll in college. Data Collection and Analysis At the individual level, the principal sources of information are from 1% Integrated Public Use Microdata Samples (IPUMS) for 1960 and 1980. These are individual-level census data that permit consideration of a wide range of variables, including college enrollment. State-level variables are drawn from the published decennial census volumes, from National Center for Education Statistics reports on the number of higher education institutions, and from aggregated IPUMS data. Conclusions/Recommendations This study finds that commuter students in the United States appear to have benefited from greater institutional availability, the decline of manufacturing, continued urbanization, and a general expansion of the middle class that occurred across the period in question. It was a time of growth for this sector of the collegiate population. Despite rhetoric about wider access to postsecondary education during the period, however, the nation's colleges appear to have continued to serve a relatively affluent population, even in commuter institutions. Although making postsecondary institutions accessible to commuter students may have improved access in some circumstances, for most American youth, going to college appears to have remained a solidly middle- and upper-class phenomenon.


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