scholarly journals Who Suffers During Recessions?

2012 ◽  
Vol 26 (3) ◽  
pp. 27-48 ◽  
Author(s):  
Hilary Hoynes ◽  
Douglas L Miller ◽  
Jessamyn Schaller
Keyword(s):  
Business Cycles ◽  
Great Recession ◽  
The United States ◽  
Market Outcomes ◽  
Race And Gender ◽  
Demographic Groups ◽  
The Great Recession ◽  
Low Education ◽  
Hispanic Workers ◽  
And Gender

In this paper, we examine how business cycles affect labor market outcomes in the United States. We conduct a detailed analysis of how cycles affect outcomes differentially across persons of differing age, education, race, and gender, and we compare the cyclical sensitivity during the Great Recession to that in the early 1980s recession. We present raw tabulations and estimate a state panel data model that leverages variation across U.S. states in the timing and severity of business cycles. We find that the impacts of the Great Recession are not uniform across demographic groups and have been felt most strongly for men, black and Hispanic workers, youth, and low-education workers. These dramatic differences in the cyclicality across demographic groups are remarkably stable across three decades of time and throughout recessionary periods and expansionary periods. For the 2007 recession, these differences are largely explained by differences in exposure to cycles across industry-occupation employment.

scholarly journals Did the Great Recession increase suicides in the USA? Evidence from an Interrupted Time Series analysis

2019 ◽  
Author(s):  
Sam Harper
Keyword(s):  
Great Recession ◽  
Interrupted Time Series ◽  
The United States ◽  
Interrupted Time Series Analysis ◽  
Men And Women ◽  
The Great Recession ◽  
Suicide Rates ◽  
The Usa ◽  
And Gender ◽  
The Impact

PurposeResearch suggests that the Great Recession of 2007–2009 led to nearly 5000 excess suicides in the United States. However, prior work has not accounted for seasonal patterning and unique suicide trends by age and gender.MethodsWe calculated monthly suicide rates from 1999 to 2013 for men and women aged 15 and above. Suicide rates before the Great Recession were used to predict the rate during and after the Great Recession. Death rates for each age-gender group were modeled using Poisson regression with robust variance, accounting for seasonal and nonlinear suicide trajectories.ResultsThere were 56,658 suicide deaths during the Great Recession. Age- and gender-specific suicide trends before the recession demonstrated clear seasonal and nonlinear trajectories. Our models predicted 57,140 expected suicide deaths, leading to 482 fewer observed than expected suicides (95% confidence interval −2079, 943).ConclusionsWe found little evidence to suggest that the Great Recession interrupted existing trajectories of suicide rates. Suicide rates were already increasing before the Great Recession for middle-aged men and women. Future studies estimating the impact of recessions on suicide should account for the diverse and unique suicide trajectories of different social groups.

Promise for Whom? “Free-College” Programs and Enrollments by Race and Gender Classifications at Public, 2-Year Colleges

2020 ◽  
Vol 42 (4) ◽  
pp. 603-627
Author(s):  
Denisa Gándara ◽  
Amy Li
Keyword(s):  
Hispanic Students ◽  
The United States ◽  
Full Time ◽  
Race And Gender ◽  
Demographic Groups ◽  
College Programs ◽  
And Gender ◽  
Ethnicity And Gender ◽  
First Time ◽  
Postsecondary Attainment

Promise programs are proliferating across the United States, with wide variation in their design. Using national data on 33 Promise programs affecting single, 2-year colleges, this study examines program effects on first-time, full-time college enrollments of students by race/ethnicity and gender classification. Results suggest Promise programs are associated with large percent increases in enrollments of Black and Hispanic students, especially students classified as females, at eligible colleges. Promise programs with merit requirements are associated with higher enrollment of White and Asian, Native Hawaiian, or Pacific Islander female students; those with income requirements are negatively associated with enrollment of most demographic groups. More generous Promise programs are associated with greater enrollment increases among demographic groups with historically higher levels of postsecondary attainment.

scholarly journals The Great Recession and suicide

2017 ◽  
Author(s):  
Sam Harper
Keyword(s):  
Great Recession ◽  
The United States ◽  
Men And Women ◽  
Future Studies ◽  
The Great Recession ◽  
Robust Variance ◽  
Suicide Rates ◽  
And Gender ◽  
The Impact ◽  
Gender Specific

PurposeResearch suggests that the Great Recession of 2007–2009 led to nearly 5000 excess suicides in the United States. However, prior work has not accounted for seasonal patterning and unique suicide trends by age and gender.MethodsWe calculated monthly suicide rates from 1999 to 2013 for men and women aged 15 and above. Suicide rates before the Great Recession were used to predict the rate during and after the Great Recession. Death rates for each age-gender group were modeled using Poisson regression with robust variance, accounting for seasonal and nonlinear suicide trajectories.ResultsThere were 56,658 suicide deaths during the Great Recession. Age- and gender-specific suicide trends before the recession demonstrated clear seasonal and nonlinear trajectories. Our models predicted 57,140 expected suicide deaths, leading to 482 fewer observed than expected suicides (95% confidence interval −2079, 943).ConclusionsWe found little evidence to suggest that the Great Recession interrupted existing trajectories of suicide rates. Suicide rates were already increasing before the Great Recession for middle-aged men and women. Future studies estimating the impact of recessions on suicide should account for the diverse and unique suicide trajectories of different social groups.

Disruptive Soft Law and Post-Crisis US Reform

2018 ◽  
Author(s):  
Abraham L. Newman ◽  
Elliot Posner
Keyword(s):  
Financial Markets ◽  
Great Recession ◽  
Regulatory Reform ◽  
The United States ◽  
Soft Law ◽  
Long Term Effects ◽  
The Great Recession ◽  
The Us ◽  
International Interaction

Chapter 6 examines the long-term effects of international soft law on policy in the United States since 2008. The extent and type of post-crisis US cooperation with foreign jurisdictions have varied considerably with far-reaching ramifications for international financial markets. Focusing on the international interaction of reforms in banking and derivatives, the chapter uses the book’s approach to understand US regulation in the wake of the Great Recession. The authors attribute seemingly random variation in the US relationship to foreign regulation and markets to differences in pre-crisis international soft law. Here, the existence (or absence) of robust soft law and standard-creating institutions determines the resources available to policy entrepreneurs as well as their orientation and attitudes toward international cooperation. Soft law plays a central role in the evolution of US regulatory reform and its interface with the rest of the world.

Race and Gender

2020 ◽  
pp. 251-269 ◽  
Author(s):  
Timnit Gebru
Keyword(s):  
Machine Learning ◽  
Language Processing ◽  
The United States ◽  
Error Rates ◽  
Political Factors ◽  
Recidivism Rates ◽  
Race And Gender ◽  
Decision Tools ◽  
And Gender ◽  
Technical Solutions

This chapter discusses the role of race and gender in artificial intelligence (AI). The rapid permeation of AI into society has not been accompanied by a thorough investigation of the sociopolitical issues that cause certain groups of people to be harmed rather than advantaged by it. For instance, recent studies have shown that commercial automated facial analysis systems have much higher error rates for dark-skinned women, while having minimal errors on light-skinned men. Moreover, a 2016 ProPublica investigation uncovered that machine learning–based tools that assess crime recidivism rates in the United States are biased against African Americans. Other studies show that natural language–processing tools trained on news articles exhibit societal biases. While many technical solutions have been proposed to alleviate bias in machine learning systems, a holistic and multifaceted approach must be taken. This includes standardization bodies determining what types of systems can be used in which scenarios, making sure that automated decision tools are created by people from diverse backgrounds, and understanding the historical and political factors that disadvantage certain groups who are subjected to these tools.

scholarly journals Tax Progressivity of Personal Wages and Income Inequality

2021 ◽  
Vol 14 (2) ◽  
pp. 60
Author(s):  
Nikolaos Papanikolaou
Keyword(s):  
Income Inequality ◽  
The United States ◽  
Census Bureau ◽  
Tax System ◽  
Race And Gender ◽  
Tax Progressivity ◽  
Income Data ◽  
Kakwani Index ◽  
And Gender ◽  
Wage Income

The paper examines tax progressivity and income inequality using Census Bureau Current Population Survey (CPS) personal income data. The Kakwani index is used to derive tax progressivity for All, Male, Female, White and African American personal wage income of CPS respondents, respectively. The tax progressivity results show a tax system that is partly progressive and mostly regressive. Due to its regressive nature, the tax system did not display tax progressivity for the entire period under analysis for personal wage income respondents as well as when broken-down by race and gender in the United States for years 1996 to 2011.

scholarly journals I’m Every Woman: Advancing the Intersectional Leadership of Black Women School Leaders as Anti-Racist Praxis

2021 ◽  
Vol 31 (1-2) ◽  
pp. 7-28
Author(s):  
April L. Peters ◽  
Angel Miles Nash
Keyword(s):  
Black Women ◽  
The United States ◽  
Women's Leadership ◽  
Three Dimensions ◽  
Race And Gender ◽  
Leadership Framework ◽  
And Gender ◽  
Resisting Oppression ◽  
Epistemological Basis

The rallying, clarion call to #SayHerName has prompted the United States to intentionally include the lives, voices, struggles, and contributions of Black women and countless others of her ilk who have suffered and strived in the midst of anti-Black racism. To advance a leadership framework that is rooted in the historicity of brilliance embodied in Black women’s educational leadership, and their proclivity for resisting oppression, we expand on intersectional leadership. We develop this expansion along three dimensions of research centering Black women’s leadership: the historical foundation of Black women’s leadership in schools and communities, the epistemological basis of Black women’s racialized and gendered experiences, and the ontological characterization of Black women’s expertise in resisting anti-Black racism in educational settings. We conclude with a four tenet articulation detailing how intersectional leadership: (a) is explicitly anti-racist; (b) is explicitly anti-sexist; (c) explicitly acknowledges the multiplicative influences of marginalization centering race and gender, and across planes of identity; and (d) explicitly leverages authority to serve and protect historically underserved communities.

scholarly journals Balancing race, gender, and responsibility: Conversations with four black women in educational leadership in the United States of America

2021 ◽  
pp. 174114322199183
Author(s):  
Natasha N Johnson
Keyword(s):  
United States ◽  
Black Women ◽  
Educational Leadership ◽  
United States Of America ◽  
Hermeneutic Phenomenology ◽  
The United States ◽  
Women's Leadership ◽  
Structured Interviews ◽  
Race And Gender ◽  
And Gender

This article focuses on equitable leadership and its intersection with related yet distinct concepts salient to social justice pertinent to women and minorities in educational leadership. This piece is rooted and framed within the context of the United States of America, and the major concepts include identity, equity, and intersectionality—specific to the race-gender dyad—manifested within the realm of educational leadership. The objective is to examine theory and research in this area and to discuss the role they played in this study of the cultures of four Black women, all senior-level leaders within the realm of K-20 education in the United States. This work employed the tenets of hermeneutic phenomenology, focusing on the intersecting factors—race and gender, specifically—that impact these women’s ability and capability to perform within the educational sector. The utilization of in-depth, timed, semi-structured interviews allowed participants to reflect upon their experiences and perceptions as Black women who have navigated and continue to successfully navigate the highest levels of the educational leadership sphere. Contributors’ recounted stories of navigation within spaces in which they are underrepresented revealed the need for more research specific to the intricacies of Black women’s leadership journeys in the context of the United States.

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