Major Payoffs

2017 ◽  
Vol 60 (4) ◽  
pp. 722-746 ◽  
Author(s):  
David Monaghan ◽  
Sou Hyun Jang

Although the bachelor’s degree is considered the “great equalizer,” returns vary substantially by field of study, particularly in the years immediately following graduation. In the first section of our analysis, we study the varying labor market experiences of recent graduates with different majors. We build on prior research by more fully accounting for the complicating role of graduate school attendance in the relationship between majors and income. We find some majors to be distinctly “risky,” exposing their holders to heightened risk of low income and unemployment during the postcollege transition. Those who select such majors are much more likely to later enroll in graduate school. After 10 years, graduate degrees mitigate, but do not entirely erase, major-based income disparities. We use these findings in the second section to explore the determinants of major choice among first-time freshmen. Female and higher socioeconomic status (SES) students are more likely to select risky majors, but the latter relationship is entirely explained by academic and institutional variables. In contrast to prior research, we find strong institutional effects on major choice, with those attending selective colleges, smaller institutions, and institutions with fewer low-SES students more likely to select risky and graduate-school-associated majors, net of individual-level factors. We conclude by discussing the implications of our findings for the situation of the arts and sciences fields in the era of mass enrollment.

Author(s):  
Diana R. Withrow ◽  
Neal D. Freedman ◽  
James T. Gibson ◽  
Mandi Yu ◽  
Anna M. Nápoles ◽  
...  

Abstract Purpose To inform prevention efforts, we sought to determine which cancer types contribute the most to cancer mortality disparities by individual-level education using national death certificate data for 2017. Methods Information on all US deaths occurring in 2017 among 25–84-year-olds was ascertained from national death certificate data, which include cause of death and educational attainment. Education was classified as high school or less (≤ 12 years), some college or diploma (13–15 years), and Bachelor's degree or higher (≥ 16 years). Cancer mortality rate differences (RD) were calculated by subtracting age-adjusted mortality rates (AMR) among those with ≥ 16 years of education from AMR among those with ≤ 12 years. Results The cancer mortality rate difference between those with a Bachelor's degree or more vs. high school or less education was 72 deaths per 100,000 person-years. Lung cancer deaths account for over half (53%) of the RD for cancer mortality by education in the US. Conclusion Efforts to reduce smoking, particularly among persons with less education, would contribute substantially to reducing educational disparities in lung cancer and overall cancer mortality.


2021 ◽  
pp. 135406882110119
Author(s):  
Matthew Polacko

Previous research into the relationship between income inequality and turnout inequality has produced mixed results, as consensus is lacking whether inequality reduces turnout for all income groups, low-income earners, or no one. Therefore, this paper builds on this literature by introducing supply-side logic, through the first individual-level test of the impact that income inequality (moderated by policy manifesto positions) has on turnout. It does so through multilevel logistic regressions utilizing mixed effects, on a sample of 30 advanced democracies in 102 elections from 1996 to 2016. It finds that higher levels of income inequality significantly reduce turnout and widen the turnout gap between rich and poor. However, it also finds that when party systems are more polarized, low-income earners are mobilized the greatest extent coupled with higher inequality, resulting in a significantly reduced income gap in turnout. The findings magnify the negative impacts income inequality can exert on political behavior and contribute to the study of policy offerings as a key moderating mechanism in the relationship.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Davis

Abstract Achieving a long-lasting impact on health outcomes requires focus not just on patient care, but also on community approaches aimed at improving population health through addressing gaps in Social Determinants of Health (SDOH). SDOH have been found to disproportionately affect those in low-income brackets and the disabled to varying degrees based on locale. The purpose of this exploratory research was to determine 1) which SDOH have the greatest negative impact on disabled and elderly populations within four targeted states (Iowa, Ohio, Minnesota, Wisconsin) and 2) if there is a difference in negative SDOH impact between metro and non-metro locales. Individual-level data were obtained from disabled persons aged 65 years or older who responded to the Centers for Disease Control and Prevention's 2017 Behavioral Risk Factor Surveillance System (BRFSS) survey. Utilizing these data, frequency distributions were obtained using SPSS. Rank order variation in SDOH was observed among four Midwestern states and between metro vs. non-metro geographic regions. Frequency distributions assisted in identifying the greatest negative impacting SDOH on elderly disabled populations. An examination of the rank order tables allowed the investigator to accurately assess the rank of negative impacts. There were variabilities in responses to questions with moving two or more times within 12 months having the lowest negative impact. When regrouped based upon SDOH negative impacts, were you able to pay your bills was the most frequent SDOH across all states. Feeling unsafe or extremely unsafe in your neighborhood was the highest negatively impacted SDOH within states. Cited determinants in three categories were highest in Ohio. Ohio also had the highest proportion of negatively impacted SDOH across all states. No money for balanced meals was a close second SDOH across states. Key messages Social Determinants Impacting Elderly Disabled. Impact of Social Determinants by Geography.


2020 ◽  
pp. 1-28
Author(s):  
Haley Wynne Parker ◽  
Carolina de Araujo ◽  
Anne N. Thorndike ◽  
Maya Vadiveloo

Abstract The validated Grocery Purchase Quality Index (GPQI) reflects concordance between household grocery purchases and US dietary recommendations. However, it is unclear whether GPQI scores calculated from partial purchasing records validly reflect individual-level diet quality. Within the 9-month randomized controlled Smart Cart study examining the effect of targeted coupons on grocery purchase quality (n=209), this secondary analysis examined concordance between the GPQI (range 0-75, scaled to 100) calculated from 3-months of loyalty-card linked partial (≥50%) household grocery purchasing data and individual-level Healthy Eating Index (HEI) scores at baseline and 3-months calculated from food frequency questionnaires. HEI and GPQI concordance was assessed with overall and demographic-stratified partially-adjusted correlations; covariate-adjusted percent score differences, cross-classification, and weighted kappa coefficients assessed concordance across GPQI tertiles (T). Participants were mostly middle-aged (55.4(13.9) years), female (90.3%), from non-smoking households (96.4%), without children (70.7%). Mean GPQI (54.8(9.1)%) scores were lower than HEI scores (baseline: 73.2(9.1)%, 3-months: 72.4(9.4)%), and moderately correlated (baseline r=0.41 vs. 3-month r=0.31, p<0.001). Correlations were stronger among participants with ≤ bachelor’s degree, obesity, and children. Concordance was highest in T3. Participants with high (T3) vs. low (T1) GPQI scores had 7.3-10.6 higher odds of having HEI scores >80% at both timepoints. Weighted kappas (k=0.25) indicated moderate agreement between scores. Household-level GPQI derived from partial grocery purchasing data were moderately correlated with self-reported intake, indicating their promise for evaluating diet quality. Partial purchasing data appears to moderately reflect individual diet quality and may be useful in interventions monitoring changes in diet quality.


2015 ◽  
Vol 50 (4) ◽  
pp. 439-461 ◽  
Author(s):  
Mariam Ashtiani ◽  
Cynthia Feliciano

Youth from advantaged backgrounds have more social relationships that provide access to resources facilitating their educational success than those from low-income families. Does access to and mobilization of social capital also relate to success among the few low-income youth who “overcome the odds” and persist in higher education? Using nationally representative longitudinal data over a 14-year period, this study shows that although access to social capital in families, schools, and communities is positively related to entry into higher education, most forms of adolescent social capital are not independently associated with degree attainment. However, the mobilization of social capital through certain types of mentorship benefits both the college entry and bachelor’s degree attainment of low-income youth, more so than for their more economically advantaged peers. Findings suggest that developing enduring mentoring relationships and new social resources rooted in the higher education context may be especially important in facilitating degree attainment for young adults from low-income backgrounds.


2017 ◽  
Vol 63 (4) ◽  
pp. 483-515 ◽  
Author(s):  
Ursula Dallinger

AbstractPolitical economy of redistribution and comparative social policy research view the median voter as the political force, which demands marketregulating social policy in periods of increased income disparities and to which governments – to be re-elected – must respond. However, government responsiveness has been questioned, especially the responsiveness for political demands of low-income households. Are even the preferences of the median voter only selectively addressed through politics? If the median voter is actually influential, its redistributive preferences should explain the outcome of government action, e.g. size of redistribution. Is this true? Based on a pooled dataset with observations between 1980 and 2012 for 13 OECD-countries it is shown that the political position of the median voter alone has no impact. Rather mediating political factors like a proportional electoral system and left parties with wider welfare programs provide for broader representation and more redistribution.


Author(s):  
Ramesh C. Gaur

It is estimated that India possesses more than five million manuscripts on varied subjects lying scattered or fragmented in India and foreign collections. This invaluable and unique pool of knowledge is under threat. Recognizing the need to encompass and preserve this knowledge resource and to make these accessible to scholars and researchers, Kala Nidhi Division of Indira Gandhi National Centre for the Arts (IGNCA) initiated a microfilming of manuscripts programme of private and public institutions in 1989. IGNCA has, so far, microfilmed over 250000 manuscripts in 20,600 microfilm rolls, out of that 14,400 rolls have been digitized. National Mission for Manuscripts (NMM) established in February 2003 seeks to unearth and preserve the vast manuscript wealth of India. The digitization of over 25000 manuscripts under NMM, IGNCA and also under project mode by Cultural Informatics Laboratory (CIL), IGNCA makes largest repository of copies of manuscripts at IGNCA. Besides, IGNCA is also having a unique collection of 2500 rare books, about 1,0,5000 slides, 2000 paintings, 3000 photographs, more than 3000 hours of video recordings, art objects, 10 personal collections of eminent scholars such as Dr. Suniti Kumar Chatterjee, Prof. Hazari Prasad Dwivedi, Dr. Kapila Vatsyayan and Prof. Maheswar Neog, photo documentation work on Rock Art, and various museums in India etc. Many of these collections such as rare books, photographs etc are well covered and some are not covered under copyright laws. However, there are issues such as ownership rights, permission rights and access rights etc, which do not allow open access to these collections. As per the existing arrangements, consultation to all collections at IGNCA is allowed to all, 25% copies of the material are also allowed on cost basis. However, to get a copy of the material, user need to approach the concerned library (from where the copies have been obtained) to seek permission. This chapter attempts to describe factors considered as hindrance to providing access to Indian cultural heritage material. Lack of proper policy guidelines especially on copyright issues and intellectual property rights concerning both cultural heritage materials in original as well as in digital form are an obstacle. Open access initiatives worldwide are advocating access to even current information. Cultural heritage belongs to the humanity worldwide, therefore, access should be given to all. These issues, which may not be solved at individual level or institutional level, require debate, deliberations and formulation of policy framework at the highest level.


2019 ◽  
Vol 35 (4) ◽  
pp. 538-551 ◽  
Author(s):  
Maria Vaalavuo ◽  
Maarten van Ham ◽  
Timo M Kauppinen

Abstract The spatial concentration of immigrants in disadvantaged neighbourhoods may hinder their opportunities for social and economic integration. It is therefore important that immigrants can translate their available economic resources into mobility to less disadvantaged neighbourhoods. This study adds to existing research on the relationship between socioeconomic and spatial integration by focusing on the effects of income mobility on residential mobility. We analyse intra-urban residential mobility from low-income neighbourhoods into non-low-income neighbourhoods among immigrants and native-born residents in three urban regions in Finland. We use longitudinal register data for the 2004–2014 period for the full population, allowing a dynamic analysis of changes in income and neighbourhood of residence. Based on fixed-effects multinomial logit modelling of residential outcomes, we found that upward income mobility is connected to exit from low-income areas, but the effect is stronger among the native-born Finns than among those with an immigrant background. This stronger effect for natives is in contrast to findings of previous European studies, suggesting that these might have been influenced by unobserved individual-level heterogeneity. Our findings imply that both policies improving labour market opportunities of immigrants and policies reducing constraints for spatial integration are needed if the aim is to decrease ethnic residential segregation.


2019 ◽  
Vol 22 (17) ◽  
pp. 3140-3150 ◽  
Author(s):  
Valerie L Flax ◽  
Chrissie Thakwalakwa ◽  
Courtney H Schnefke ◽  
Heather Stobaugh ◽  
John C Phuka ◽  
...  

AbstractObjective:To validate digitally displayed photographic portion-size estimation aids (PSEA) against a weighed meal record and compare findings with an atlas of printed photographic PSEA and actual prepared-food PSEA in a low-income country.Design:Participants served themselves water and five prepared foods, which were weighed separately before the meal and again after the meal to measure any leftovers. Participants returned the following day and completed a meal recall. They estimated the quantities of foods consumed three times using the different PSEA in a randomized order.Setting:Two urban and two rural communities in southern Malawi.Participants:Women (n 300) aged 18–45 years, equally divided by urban/rural residence and years of education (≤4 years and ≥5 years).Results:Responses for digital and printed PSEA were highly correlated (>91 % agreement for all foods, Cohen’s κw = 0·78–0·93). Overall, at the individual level, digital and actual-food PSEA had a similar level of agreement with the weighed meal record. At the group level, the proportion of participants who estimated within 20 % of the weighed grams of food consumed ranged by type of food from 30 to 45 % for digital PSEA and 40–56 % for actual-food PSEA. Digital PSEA consistently underestimated grams and nutrients across foods, whereas actual-food PSEA provided a mix of under- and overestimates that balanced each other to produce accurate mean energy and nutrient intake estimates. Results did not differ by urban and rural location or participant education level.Conclusions:Digital PSEA require further testing in low-income settings to improve accuracy of estimations.


2020 ◽  
Vol 120 (10) ◽  
pp. 1706-1714.e1
Author(s):  
Justin Banks ◽  
Marian L. Fitzgibbon ◽  
Linda A. Schiffer ◽  
Richard T. Campbell ◽  
Mirjana A. Antonic ◽  
...  

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