scholarly journals Happiness in Hard Times: Does Religion Buffer the Negative Effect of Unemployment on Happiness?

Social Forces ◽  
2020 ◽  
Vol 99 (2) ◽  
pp. 447-473
Author(s):  
Orestes P Hastings ◽  
Kassandra K Roeser

Abstract Two well-known findings are that the religious are happier than the non-religious, and people are less happy when they lose their job. We investigate a link between these by asking whether religion buffers against the negative effect of unemployment on happiness. Although theorized or implicitly assumed in many studies, empirical demonstrations of a causal, moderating effect of religion have been infrequent and often not strong methodologically. We conduct individual-level fixed effects models to test for the buffering effect in the US context using recent panel data from the 2006–2014 General Social Surveys. Religious service attendance, belief in life after death, and trying to carry one’s religious beliefs over into other dealings in life all substantially buffered the effect of unemployment on happiness. Praying daily, believing God exists, identifying as a religious person, and having a religious affiliation did not. We discuss these results in the context of prior work and existing theory. To further support a causal interpretation of these findings, we also conduct a secondary analysis showing that unemployment does not appear to increase or decrease religiousness. This paper makes an important sociological contribution to the growing field of happiness research and to our understanding of how religion matters to people during hard times.

2020 ◽  
Author(s):  
Orestes P Hastings ◽  
Kassandra K Roeser

Two well-known findings are that the religious are happier than the non-religious, and people are less happy when they lose their job. We investigate a link between these by asking whether religion buffers against the negative effect of unemployment on happiness. Although theorized or implicitly assumed in many studies, empirical demonstrations of a causal, moderating effect of religion have been infrequent and often not strong methodologically. We conduct individual-level fixed effects models to test for the buffering effect in the U.S. context using recent panel data from the 2006-2014 General Social Surveys (GSS). Religious service attendance, belief in life after death, and trying to carry one’s religious beliefs over into other dealings in life all substantially buffered the effect of unemployment on happiness. Praying daily, believing God exists, identifying as a religious person, and having a religious affiliation did not. We discuss these results in the context of prior work and existing theory. To further support a causal interpretation of these findings, we also conduct a secondary analysis showing that unemployment does not appear to increase or decrease religiousness. This paper makes an important sociological contribution to the growing field of happiness research and to our understanding of how religion matters to people during hard times.


2021 ◽  
Author(s):  
Stuart James Turnbull-Dugarte ◽  
José Rama

Does the electoral defeat of a far-right party abroad influence support for far-right parties at home? By exploiting the quasi-experimental setting provided by the coincidental timing of Donald Trump’s 2020 electoral defeat with the Spanish Sociological Study’s monthly barometer data collection, we provide robust causal evidence to show that far-right’s electoral loss in the US had a negative contagious spillover effect on support for the Spanish far-right. Empirically we estimate treatment effects based on the as good as random exposure to the electoral results, as well as regression discontinuity models to isolate the causal impact of Donald Trump’s electoral defeat on support for Spain’s new far-right party, VOX. Our results - which are robust to various modelling approaches including covariate adjustment, regional fixed effects, placebo issues and nearest-neighbour matching - demonstrate that Trump’s defeat to Joe Biden had a sizeable negative effect on support for VOX. The contagion effect is substantive: equal to 3-5 percentage-points among the general population and 8-11 percentage-points among right-wing voters. Our findings make an important contribution to the broader literature on electoral behaviour as they indicate that the electoral success of ideologically symmetrical parties abroad plays a role in understanding a party's domestic success.


2021 ◽  
Author(s):  
Sandip Datta ◽  
Geeta Kingdon

This paper examines the efficacy of class-size reductions as a strategy to improve pupils’ learning outcomes in India. It uses a credible identification strategy to address the endogeneity of class-size, by relating the difference in a student’s achievement score across subjects to the difference in his/her class size across subjects. Pupil fixed effects estimation shows a relationship between class size and student achievement which is roughly flat or non-decreasing for a large range of class sizes from 27 to 51, with a negative effect on learning outcomes occurring only after class size increases beyond 51 pupils. The class-size effect varies by gender and by subject-stream. The fact that up to a class-size of roughly 40 in science subjects and roughly 50 in non-science subjects, there is no reduction in pupil learning as class size increases, implies that there is no learning gain from reducing class size below 40 in science and below 50 in non-science. This has important policy implications for pupil teacher ratios (PTRs) and thus for teacher appointments in India, based on considerations of cost-effectiveness. When generalised, our findings suggest that India experienced a value-subtraction from spending on reducing class-sizes, and that the US$3.6 billion it spent in 2017-18 on the salaries of 0.4 million new teachers appointed between 2010 and 2017 was wasteful spending rather than an investment in improving learning. We show that India could save US$ 19.4 billion (Rupees 1,45,000 crore in Indian currency) per annum by increasing PTR from its current 22.8 to 40, without any reduction in pupil learning.


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. 194016122110091
Author(s):  
Magdalena Wojcieszak ◽  
Ericka Menchen-Trevino ◽  
Joao F. F. Goncalves ◽  
Brian Weeks

The online environment dramatically expands the number of ways people can encounter news but there remain questions of whether these abundant opportunities facilitate news exposure diversity. This project examines key questions regarding how internet users arrive at news and what kinds of news they encounter. We account for a multiplicity of avenues to news online, some of which have never been analyzed: (1) direct access to news websites, (2) social networks, (3) news aggregators, (4) search engines, (5) webmail, and (6) hyperlinks in news. We examine the extent to which each avenue promotes news exposure and also exposes users to news sources that are left leaning, right leaning, and centrist. When combined with information on individual political leanings, we show the extent of dissimilar, centrist, or congenial exposure resulting from each avenue. We rely on web browsing history records from 636 social media users in the US paired with survey self-reports, a unique data set that allows us to examine both aggregate and individual-level exposure. Visits to news websites account for about 2 percent of the total number of visits to URLs and are unevenly distributed among users. The most widespread ways of accessing news are search engines and social media platforms (and hyperlinks within news sites once people arrive at news). The two former avenues also increase dissimilar news exposure, compared to accessing news directly, yet direct news access drives the highest proportion of centrist exposure.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 303-303
Author(s):  
HwaJung Choi ◽  
Robert Schoeni ◽  
Tsai-Chin Cho ◽  
Kenneth Langa

Abstract The paper’s goal is to assess whether and, if so, the extent to which prevalence in disability of adults near retirement ages in the US increased over time compared to their peers in England and examine income group differences in the relative trends. This study uses 2002-2016 Health and Retirement Study (HRS) and English Longitudinal Study of Ageing (ELSA) focusing on adults aged 55-64. Annual percent changes over the period of 2002-2016 for limitations in instrumental activities of daily living (IADL) and activities of daily living (ADL) are estimated for each survey (HRS and ELSA) using multivariable logistic regressions to adjust for individual-level characteristics While disability prevalence of adults ages 55-64 in England improved over the years of 2002-2016 (annual % change= -2.01 for IADL; - 2.53 for ADL), disability prevalence of US adults has not improved and in fact even worsened in terms of IADL (annual % change= +1.35). There are substantial variations in the IADL/ADL trends by income groups. In the US, the adverse trends in disability were more pronounced among the lowest income groups (annual % change in IADL=1.76 for bottom 20% vs. -2.08 for top 20%; annual % change in ADL=1.08 for bottom 20% vs. -2.08 for top 20%). In England, the disability status improved over time for all but the lowest income group. We will examine further to identify specific factors contributing to divergent/convergent trends in disability between the US and England.


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.


2021 ◽  
pp. 1-10
Author(s):  
Ronald C. Kessler ◽  
Toshi A. Furukawa ◽  
Tadashi Kato ◽  
Alex Luedtke ◽  
Maria Petukhova ◽  
...  

Abstract Background There is growing interest in using composite individualized treatment rules (ITRs) to guide depression treatment selection, but best approaches for doing this are not widely known. We develop an ITR for depression remission based on secondary analysis of a recently published trial for second-line antidepression medication selection using a cutting-edge ensemble machine learning method. Methods Data come from the SUN(^_^)D trial, an open-label, assessor blinded pragmatic trial of previously-untreated patients with major depressive disorder from 48 clinics in Japan. Initial clinic-level randomization assigned patients to 50 or 100 mg/day sertraline. We focus on the 1549 patients who failed to remit within 3 weeks and were then rerandomized at the individual-level to continuation with sertraline, switching to mirtazapine, or combining mirtazapine with sertraline. The outcome was remission 9 weeks post-baseline. Predictors included socio-demographics, clinical characteristics, baseline symptoms, changes in symptoms between baseline and week 3, and week 3 side effects. Results Optimized treatment was associated with significantly increased cross-validated week 9 remission rates in both samples [5.3% (2.4%), p = 0.016 50 mg/day sample; 5.1% (2.7%), p = 0.031 100 mg/day sample] compared to randomization (30.1–30.8%). Optimization was also associated with significantly increased remission in both samples compared to continuation [24.7% in both: 11.2% (3.8%), p = 0.002 50 mg/day sample; 11.7% (3.9%), p = 0.001 100 mg/day sample]. Non-significant gains were found for optimization compared to switching or combining. Conclusions An ITR can be developed to improve second-line antidepressant selection, but replication in a larger study with more comprehensive baseline predictors might produce stronger and more stable results.


2012 ◽  
Vol 27 (3) ◽  
pp. 241-246 ◽  
Author(s):  
Xinli Du ◽  
Rihua Zhang ◽  
Yi Xue ◽  
Dong Li ◽  
Jinmei Cai ◽  
...  

Aims Recently, more and more attention has been drawn on the long-term effects of insulin glargine. Here we strived to estimate the association of cancer occurrence with the use of insulin glargine. Methods We searched all the publications regarding the association between cancer occurrence and the use of insulin glargine using the US National Library of Medicine's PubMed database. Data were independently extracted and analyzed using random or fixed effects meta-analysis depending upon the degree of heterogeneity. Results Seven cohort studies were included in the meta-analysis. Cancer occurrence had no significant difference in glargine-treated patients compared to patients treated with other insulins (RR=0.86, 95% CI=0.69–1.07, p=0.17, Pheterogeneity <0.00001). In our subgroup analysis, glargine, compared to other insulins, did not increase the risk of breast cancer (RR=1.14, 95% CI=0.65–2.02, p=0.65, Pheterogeneity=0.002), prostate cancer (RR=1.00, 95% CI=0.79–1.26, p=0.99, Pheterogeneity=0.78), pancreatic cancer (RR=0.57, 95% CI=0.14–2.35, p=0.44, Pheterogeneity=0.0002) and gastrointestinal cancer (RR=0.80, heterogeneity 95% CI=0.62–1.02, p=0.07, Pheterogeneity=0.86). Conclusions This meta-analysis of open-label studies does not support an increased cancer risk in patients treated with insulin glargine. The result provides confidence for the development of insulin glargine, but needs confirmation by further clinical studies.


2016 ◽  
Vol 9 (1) ◽  
pp. 53-69 ◽  
Author(s):  
Sebastian Lazăr

AbstractThe paper investigates firm-specific determinants of firm profitability for Romanian listed companies over the 2000-2011 period within the framework of resource based view of the firm. The results show that tangibles, leverage, size and labour intensity have negative effect on firm performance, while sales growth and value added have a positive effect. The results prove robust when introducing two-way fixed effects model and industry year effects model (in order to simultaneously account for specific industry characteristics and time effects).


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