Social network sites, marriage well-being and divorce: Survey and state-level evidence from the United States

2014 ◽  
Vol 36 ◽  
pp. 94-101 ◽  
Author(s):  
Sebastián Valenzuela ◽  
Daniel Halpern ◽  
James E. Katz
2011 ◽  
Vol 19 (3) ◽  
Author(s):  
Bruce Howard

An important part of the economic environment for any business is the tax climate. At the federal level, arguments are often made for abandoning the income tax in favor of a national sales tax or other type of tax. At the state level, the United States has a laboratory of sorts for examining the economic impact of various types of taxes. The states exhibit a wide degree of variation in the kinds and mix of taxes upon which they rely to raise revenue. This provides an opportunity for comparing economic well-being with the mix of taxes for the various states. This paper presents the results of an empirical study of the relationship between the relative economic well-being of a state and its relative portfolio of taxation. Data on the kinds and relative mix of taxes for the 50 United States for the years 1993-1999 are summarized. While the direction of causation is still an issue, the results of the study show that statistically significant relationships do exist between a state’s tax portfolio and its level and growth of real per capita gross state product. Hopefully this study will add to our understanding of the impact of taxation on the economic climate for business.


2014 ◽  
Author(s):  
Cassidy Bibo ◽  
Julie Spencer-Rodgers ◽  
Benaissa Zarhbouch ◽  
Mostafa Bouanini ◽  
Kaiping Peng

2020 ◽  
Author(s):  
Francesco Rigoli

Research has shown that stress impacts on people’s religious beliefs. However, several aspects of this effect remain poorly understood, for example regarding the role of prior religiosity and stress-induced anxiety. This paper explores these aspects in the context of the recent coronavirus emergency. The latter has impacted dramatically on many people’s well-being; hence it can be considered a highly stressful event. Through online questionnaires administered to UK and USA citizens professing either Christian faith or no religion, this paper examines the impact of the coronavirus crisis upon common people’s religious beliefs. We found that, following the coronavirus emergency, strong believers reported higher confidence in their religious beliefs while non-believers reported increased scepticism towards religion. Moreover, for strong believers, higher anxiety elicited by the coronavirus threat was associated with increased strengthening of religious beliefs. Conversely, for non-believers, higher anxiety elicited by the coronavirus thereat was associated with increased scepticism towards religious beliefs. These observations are consistent with the notion that stress-induced anxiety enhances support for the ideology already embraced before a stressful event occurs. This study sheds light on the psychological and cultural implications of the coronavirus crisis, which represents one of the most serious health emergencies in recent times.


2020 ◽  
Author(s):  
Ruoyan Sun ◽  
Henna Budhwani

BACKGROUND Though public health systems are responding rapidly to the COVID-19 pandemic, outcomes from publicly available, crowd-sourced big data may assist in helping to identify hot spots, prioritize equipment allocation and staffing, while also informing health policy related to “shelter in place” and social distancing recommendations. OBJECTIVE To assess if the rising state-level prevalence of COVID-19 related posts on Twitter (tweets) is predictive of state-level cumulative COVID-19 incidence after controlling for socio-economic characteristics. METHODS We identified extracted COVID-19 related tweets from January 21st to March 7th (2020) across all 50 states (N = 7,427,057). Tweets were combined with state-level characteristics and confirmed COVID-19 cases to determine the association between public commentary and cumulative incidence. RESULTS The cumulative incidence of COVID-19 cases varied significantly across states. Ratio of tweet increase (p=0.03), number of physicians per 1,000 population (p=0.01), education attainment (p=0.006), income per capita (p = 0.002), and percentage of adult population (p=0.003) were positively associated with cumulative incidence. Ratio of tweet increase was significantly associated with the logarithmic of cumulative incidence (p=0.06) with a coefficient of 0.26. CONCLUSIONS An increase in the prevalence of state-level tweets was predictive of an increase in COVID-19 diagnoses, providing evidence that Twitter can be a valuable surveillance tool for public health.


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