An empirical investigation of the relationship between business performance and suicide in the US

Analysis of the impact of financial and labour uncertainty on suicide mortality in England

This paper examines the relationship between different dimensions of economic uncertainty and suicide rates in England from 1985 to 2020, both in the short and long term. The study employs a non-linear autoregressive distributed lag framework for cointegration estimation. This approach allows testing for the existence of possible asymmetries in the response of suicide mortality to increases in economic uncertainty. Uncertainty is gauged by different proxies that allow computing financial uncertainty and labour market uncertainty indicators. The analysis is replicated by gender and across regions, controlling for unemployment and economic growth. Overall, the analysis suggests that uncertainty intensified during the first year of the COVID-19 pandemic. This is in line with the stylized facts of economic uncertainty and its pronounced role in recessions. When replicating the experiment by gender, we find that women seem to be more sensitive to changes in uncertainty. Regarding the existence of asymmetries, we found that decreases in economic uncertainty have a greater impact on suicide mortality than increases.

Decoding Suicide Decedent Profiles and Signs of Suicidal Intent Using Latent Class Analysis

Importance

Suicide rates in the US increased by 35.6% from 2001 to 2021. Given that most individuals die on their first attempt, earlier detection and intervention are crucial. Understanding modifiable risk factors is key to effective prevention strategies.

Objective

To identify distinct suicide profiles or classes, associated signs of suicidal intent, and patterns of modifiable risks for targeted prevention efforts.

Design, Setting, and Participants

This cross-sectional study used data from the 2003-2020 National Violent Death Reporting System Restricted Access Database for 306 800 suicide decedents. Statistical analysis was performed from July 2022 to June 2023.

Exposures

Suicide decedent profiles were determined using latent class analyses of available data on suicide circumstances, toxicology, and methods.

Main Outcomes and Measures

Disclosure of recent intent, suicide note presence, and known psychotropic usage.

Results

Among 306 800 suicide decedents (mean [SD] age, 46.3 [18.4] years; 239 627 males [78.1%] and 67 108 females [21.9%]), 5 profiles or classes were identified. The largest class, class 4 (97 175 [31.7%]), predominantly faced physical health challenges, followed by polysubstance problems in class 5 (58 803 [19.2%]), and crisis, alcohol-related, and intimate partner problems in class 3 (55 367 [18.0%]), mental health problems (class 2, 53 928 [17.6%]), and comorbid mental health and substance use disorders (class 1, 41 527 [13.5%]). Class 4 had the lowest rates of disclosing suicidal intent (13 952 [14.4%]) and leaving a suicide note (24 351 [25.1%]). Adjusting for covariates, compared with class 1, class 4 had the highest odds of not disclosing suicide intent (odds ratio [OR], 2.58; 95% CI, 2.51-2.66) and not leaving a suicide note (OR, 1.45; 95% CI, 1.41-1.49). Class 4 also had the lowest rates of all known psychiatric illnesses and psychotropic medications among all suicide profiles. Class 4 had more older adults (23 794 were aged 55-70 years [24.5%]; 20 100 aged ≥71 years [20.7%]), veterans (22 220 [22.9%]), widows (8633 [8.9%]), individuals with less than high school education (15 690 [16.1%]), and rural residents (23 966 [24.7%]).

Conclusions and Relevance

This study identified 5 distinct suicide profiles, highlighting a need for tailored prevention strategies. Improving the detection and treatment of coexisting mental health conditions, substance and alcohol use disorders, and physical illnesses is paramount. The implementation of means restriction strategies plays a vital role in reducing suicide risks across most of the profiles, reinforcing the need for a multifaceted approach to suicide prevention.

Economic uncertainty and population health: insights from emerging markets and developing countries

This study employs a Bayesian panel vector autoregressive model to examine the impact of economic uncertainty on public health, using an annual, country-level panel dataset of 103 emerging markets and developing countries spanning the years 1995 through 2019. The results from the full sample suggest that the immediate effects of heightened economic uncertainty on health are marginal, yet it may engender prolonged life expectancy and lowered mortality rates. The analysis unveils considerable heterogeneities among various country classifications. The health-enhancing effects of economic uncertainty are predominantly discernible in emerging markets, low-income and upper-middle-income countries. Additionally, a diminution in suicide rates, attributed to escalated economic uncertainty, is uniquely detected in upper-middle-income countries. Furthermore, economic growth and healthcare expenditure emerge as paramount determinants in bolstering overall population health, particularly in lower-middle-income countries. The detrimental effect of environmental pollution on health is more pronounced in emerging markets and middle-income nations. Excluding high-income countries, it is essential to emphasize the beneficial health outcomes resulting from financial development and globalization, as well as the deleterious effects of environmental pollution. Lastly, several policy implications aligned with the findings are outlined, providing a roadmap for decision-makers in these diverse economies to promote better health outcomes.

Economic policy uncertainty and subjective health: A gender perspective

This study utilizes data from the World Values Survey (WVS) and the country-level Economic Policy Uncertainty (EPU) index to explore the relationship between the EPU and subjective health status. Unlike studies that use suicide as the investigated variable, we find that the adverse association between subjective health and the EPU for women is no less than that for men. The adverse impact is robust for men of prime working age (25-54). It is also robust for women younger than 25, the age range (15-25) among women that suffer from depression at the highest rate. In addition, an asymmetric effect occurs for males of prime working age (25-54) and women older than 55. Specifically, the asymmetric effect indicates that the association between subjective health status and the EPU differs when the EPU is declining and increasing for both sexes, with the effect of the former greater than the latter. This might reflect that the EPU affects both sexes through different mechanisms, with men of prime working age being breadwinners and older women's long life expectancy and poverty caused by shorter careers.

The associations between suicides, economic conditions and social isolation: Insights from Spain

Suicide is among the main challenges that need to be addressed in developed countries. In this paper, we analyse suicides across the 17 Spanish regions over the period 2014-2019. More precisely, our objective is to re-study the determinants of suicides focusing on the latest economic expansion period. We use count panel data models and sex stratification. A range of aggregate socioeconomic regional-level factors have been identified. Our empirical results show that: (1) a socioeconomic urban-rural suicide gaps exist; (2) there are significant gender differences, for the women a Mediterranean suicide pattern appears whereas unemployment levels have a significant importance for men, (3) social isolation factors, when significant, they show an (a priori) surprisingly positive result. We provide new highlights for suicide prevention in Spain. Precisely, it is highlighted that jointly policies by gender and attending to vulnerable groups are both necessary.

Global economic uncertainty and suicide: Worldwide evidence

Economic uncertainty is a driver of the business cycle. Its leading properties make it a key advanced indicator to assess the impact of socioeconomic factors on suicide for prevention purposes. This paper evaluates the effect of economic uncertainty on suicide rates worldwide. Uncertainty is gauged by a global economic policy uncertainty index. Suicide rates from 183 countries between 2000 and 2019 are matched to annual economic uncertainty, controlling for unemployment and economic growth in a fixed-effects panel model. Overall, the analysis suggests that increases in lagged economic uncertainty, as well as in unemployment and economic growth, may lead to an increased risk of suicide. When replicating the experiment for different regions of the world, the greatest impact of an increase in economic uncertainty can be found in Africa and the Middle East. Given the anticipatory nature of economic uncertainty regarding the evolution of economies, and its relationship with suicide rates, the results highlight the usefulness of uncertainty indicators as tools for the early detection of periods of increased suicide risk and the design of suicide prevention strategies.

Developing Countries in the Lead: A Bibliometric Approach to Green Finance

In recent years, green finance has become a popular method for dealing with environmental issues. However, it remains to be seen whether green financing is effective in addressing current global environmental issues. In this article, we, therefore, analyze the diffusion patterns of green finance publications in the Global South and Global North to identify which section of the globe is under-researched from this perspective. The study tried to highlight the overall trends of research publications on green finance, continent, most contributing authors, countries, and journals. The study used a bibliometric approach with the help of R studio software. The Scopus database was used for extracting the resources and 522 documents utilized in this bibliometric analysis. The result demonstrates that the diffusion of green finance is more common in the Global North than in the Global South. However, the number of scientific studies produced over time, the number of active authors, and affiliations of the Global South have contributed more than the Global North. More specifically, at the continental level, Asia and the Pacific are playing a lion’s share in providing scientific research publications on the green-finance-related issue. Meanwhile, the Arab states and Africa are the lowest contributing continent. China has the highest number of publications worldwide. However, this reality may be different if another approach (per capita contribution) is used to investigate the issue of green finance. Hence, we call for future studies to consider this fact in investigating the issue of green finance across the world. Furthermore, the study proposes further studies to be conducted on what are the factors that drive the Global South to lead. Finally, it is also better if the future studies take into account the status of each country in terms of green finance mobilization and capital contribution to share the specific experience of that country and lessons taken from that country.

Enhancing Green Finance for Inclusive Green Growth: A Systematic Approach

Recently, green financing has become a popular technique for dealing with environmental issues. However, whether green financing is effective in addressing current global environmental issues remains to be seen since the green investment gap has been discovered to be rather sizable, with no certainty regarding how to fill it. The purpose of this study was to systematically analyze green finance in all of its forms, instruments, and measurements. Herein, we highlighted overall research trends in an effort to enhance green finance for inclusive green investment, as well as examined the progress needed to fill the green finance gap. This study also provides information on which authors, countries, publishers, and journals are contributing most to green finance. The methodological approach used in many reviewed papers was determined as a benchmark for those authors interested in green finance. Moreover, this study critically analyzes and summarizes 146 relevant studies. The results of our review study imply that the green financing gap is frequently observed because of low finance levels, poor green project selection/management, risk and return trade-off, and a lack of analytical tools and expertise in identifying and assessing green project risks. More specifically, regulatory issues have been observed as the main challenge in enhancing green finance. Therefore, we propose further studies to be conducted on how to enhance green finance for green investment that could deliberately affect green growth. Simultaneously, we noted what incentives could initiate private investors to make green investments, and what additional green financing methods should be introduced to fill the financing gap. Finally, this study seeks to have an impact in assisting future studies to consider the status of each country in terms of green finance mobilization and capital contribution by sharing the specific experience of that country and what lessons could be learned from that country.

Revisiting the relationship between economic uncertainty and suicide: An alternative approach

Previous research provides evidence that economic uncertainty is powerful enough to precipitate suicide. This study examines whether the relationship between economic uncertainty and suicide in the US is (i) context dependent and (ii) asymmetric. To answer these questions, we link US monthly total- age- and gender-specific suicide rates to the US Economic Policy Uncertainty index between 1999 and 2019, controlling for month fixed effects, year fixed effects and unemployment rates. We find that the relationship between economic uncertainty and the suicide rates of males in their mid-career (aged 25-54) and late career (aged 55-64) is context dependent. Our results show that absolute monthly changes in economic uncertainty have no effect on suicide rates of males aged 25-54 and 55-64, whereas when these changes are unexpected - departing from the economic uncertainty regime during which they occur - they precipitate the suicide of these age- and gender-specific groups. Additionally, our findings provide evidence of the presence of negativity bias in these relationships. We show that extreme unexpected increases in economic uncertainty induce suicide of males aged 25-54 and 55-64, while extreme unexpected decreases in economic uncertainty do not significantly decrease suicide rates of these age- and gender-specific groups. Females, with the exception of those aged 65 plus, are perceived to be predominantly insulated from changes in economic uncertainty. Our results suggest that females aged 65 plus are particularly affected by extreme unexpected increases in economic uncertainty, suggesting that the relationship for females aged 65 plus is context dependent and exhibits negativity bias.

Opposite nonlinear effects of unemployment and sentiment on male and female suicide rates: Evidence from Australia

We investigate gender differences in the effects of unemployment and sentiment on suicide rates. Using monthly Australian data, we find a positive relationship between the unemployment rate and the suicide rate, and a negative relationship between consumer sentiment and the suicide rate. However, there is strong evidence of nonlinearity in the effects of both unemployment and sentiment on suicide rates, with substantial gender differences. For men, an increase in the unemployment rate increases the suicide rate, but an unemployment decrease has no effect; we find the opposite for women. For men, an increase in sentiment has stronger effects on the suicide rate than a decrease in sentiment. Again, we observe the opposite effect for women. Among sentiment components, forward-looking expectations are stronger predictors of suicide rates than present conditions. Sentiment has a much stronger effect on male suicide rates than on female suicide rates.

Are Spaniards Happier When the Bars Are Open? Using Life Satisfaction to Evaluate COVID-19 Non-Pharmaceutical Interventions (NPIs)

The COVID-19 pandemic has challenged governments worldwide with the design of appropriate policies that maximize health outcomes while minimizing economic and mental health consequences. This paper explores sources of individuals' life satisfaction during the COVID-19 pandemic, paying special attention to the effects of non-pharmaceutical interventions (NPIs). We studied the specific case of Spanish regions and focused on bar and restaurant closures using data from a continuous voluntary web survey that we merged with information about region-specific policies that identified when and where bars and restaurants were closed. We estimated an endogenous binary-treatment-regression model and found that closing bars and restaurants had a significant negative impact on happiness. The results were statistically significant after controlling for the pandemic context, health, income, work, and other personal characteristics and circumstances. We interpreted the results in terms of the positive effect of socialization, individuals' feelings of freedom, and the comparative nature of life satisfaction.

Economic uncertainty and suicide in the United States

Previous studies have found an association between recessions and increased rates of suicide. In the present study we widened the focus to examine the association between economic uncertainty and suicides. We used monthly suicide data from the US at the State level from 2000 to 2017 and combined them with the monthly economic uncertainty index. We followed a panel data econometric approach to study the association between economic uncertainty and suicide, controlling for unemployment and other indicators. Economic uncertainty is positively associated with suicide when controlling for unemployment [coeff: 8.026; 95% CI: 3.692-12.360] or for a wider range of economic and demographic characteristics [coeff: 7.478; 95% CI: 3.333-11.623]. An increase in the uncertainty index by one percent is associated with an additional 11-24.4 additional monthly suicides in the US. Economic uncertainty is likely to act as a trigger, which underlines the impulsive nature of some suicides. This highlights the importance of providing access to suicide prevention interventions (e.g. hotlines) during periods of economic uncertainty.