Chronic bullying victimization and life satisfaction among children from multicultural families in South Korea: Heterogeneity by immigrant mothers' country of origin

BACKGROUND

Despite existing literature on the link between bullying victimization and psychological well-being, little is known about the potential lasting negative effects of chronic bullying victimization, especially among children from multicultural families (CMF).

OBJECTIVE

This study examined the longitudinal association between chronic bullying victimization and life satisfaction among CMF in Korea, and further investigated whether this association differs by immigrant mothers' country of origin.

PARTICIPANTS AND SETTING

This study utilized data from the Multicultural Adolescents Panel Study (MAPS) 2011-2019, a nationally representative longitudinal study of CMF in Korea who were between the ages of 9 and 12 at baseline (N = 1375).

METHODS

Fixed effects models were employed to address potential bias resulting from unobserved time-invariant confounders. Three theoretical models were proposed to examine the trajectory patterns of change in life satisfaction among chronically bullied children: cumulative effects, immediate-sustained effects, and short-lived effects models.

RESULTS

The longitudinal trajectories of change in life satisfaction associated with chronic bullying victimization were consistent with an immediate-sustained effects model. Heterogeneous patterns in the association by mothers' country of origin were observed. A cumulative effects model was supported for children with Southeast Asian mothers, indicating that chronic bullying victimization leads to a cumulative decrease in life satisfaction. For children with Chinese and Japanese mothers, the results supported either immediate-sustained or short-lived effects models.

CONCLUSIONS

Efforts to improve the psychological well-being of CMF should consider the potential long-term risk of chronic bullying victimization, particularly among youth with mothers from Southeast Asia.

Birth Spacing and Parents' Physical and Mental Health: An Analysis Using Individual and Sibling Fixed Effects

An extensive literature has examined the relationship between birth spacing and subsequent health outcomes for parents, particularly for mothers. However, this research has drawn almost exclusively on observational research designs, and almost all studies have been limited to adjusting for observable factors that could confound the relationship between birth spacing and health outcomes. In this study, we use Norwegian register data to examine the relationship between birth spacing and the number of general practitioner consultations for mothers' and fathers' physical and mental health concerns immediately after childbirth (1-5 and 6-11 months after childbirth), in the medium term (5-6 years after childbearing), and in the long term (10-11 years after childbearing). To examine short-term health outcomes, we estimate individual fixed-effects models: we hold constant factors that could influence parents' birth spacing behavior and their health, comparing health outcomes after different births to the same parent. We apply sibling fixed effects in our analysis of medium- and long-term outcomes, holding constant mothers' and fathers' family backgrounds. The results from our analyses that do not apply individual or sibling fixed effects are consistent with much of the previous literature: shorter and longer birth intervals are associated with worse health outcomes than birth intervals of approximately 2-3 years. Estimates from individual fixed-effects models suggest that particularly short intervals have a modest negative effect on maternal mental health in the short term, with more ambiguous evidence that particularly short or long intervals might modestly influence short-, medium-, and long-term physical health outcomes. Overall, these results are consistent with small to negligible effects of birth spacing behavior on (non-pregnancy-related) parental health outcomes.

Does having siblings really protect against childhood atopic diseases? A total population and within-family analysis

The association between having older siblings and decreased risk for atopic symptoms is well-established. This has been interpreted as evidence for the microbiota hypothesis, i.e. that increased early-childhood microbial exposure caused by siblings protects from immune hypersensitivities. However, possible confounders of the association have received little attention. We used register data on Finnish cohorts born in 1995-2004 (N = 559,077) to assess medication purchases for atopic diseases: antihistamines, eczema medication, asthma medication and Epinephrine. We modelled the probability of atopic medication purchases at ages 0-15 by birth order controlling for important observed confounders and all unobserved genetic and environmental characteristics shared by siblings in a within-family fixed effects model. We further studied medication purchases among first-borns according to the age difference with younger siblings to assess whether having younger siblings in early childhood is beneficial. Having older siblings was associated with a lower probability of atopic medication purchases. Compared to first-borns, the probability was 10-20% lower among second-borns, 20-40% lower among third-borns, and 30-70% lower among subsequent children, depending on medication type. Confounding accounted for up to 75% of these differences, particularly for asthma and eczema medication, but significant differences by birth order remained across all medication types. Among first-borns, a smaller age difference with younger siblings was related to a lower likelihood of atopic medication use. Our results, based on designs that account for unobserved confounding, show that exposure to siblings in early childhood, protects from atopic diseases, and thus strongly support the microbiota hypothesis.

Children's bullying victimization and maternal suicidal ideation among multicultural families in South Korea: Heterogeneity by family socioeconomic status

RATIONALE

Children from multicultural families in Korea are vulnerable to bullying victimization. Despite growing evidence on the mental health consequences of bullying victimization for victims, little is known about the spillover effects on their immigrant mothers.

OBJECTIVE

This study examined the association between children's bullying victimization and their immigrant mothers' suicidal ideation. The potential moderating role of family socioeconomic status was also investigated.

METHODS

Using nine waves of the Multicultural Adolescents Panel Study spanning from 2011 to 2019 (N = 1466), this study estimated individual fixed effects models to control for unobserved individual-level heterogeneity. Interaction models were used to investigate potential heterogeneity by family socioeconomic status, including maternal education, household income, and maternal occupational status.

RESULTS

Fixed effects estimates revealed that children's bullying victimization is associated with an increased likelihood of suicidal ideation among marriage migrant mothers (b = 0.012, p < 0.05), even after controlling for unobserved time-invariant confounders as well as a set of time-varying covariates. Family socioeconomic status moderated this association. The association between children's bullying victimization and immigrant mothers' suicidal ideation was stronger for those with low levels of education and household income. No such moderating effects were observed for maternal occupation.

CONCLUSIONS

The findings of this study suggest that efforts to address the mental health consequences of bullying victimization among multicultural family children should extend beyond the victim to their immigrant mothers. When developing interventions to reduce suicidal ideation among immigrant mothers whose children have been victimized, policymakers may wish to consider the moderating role of family socioeconomic status.

Bayesian spatial modelling of intimate partner violence and associated factors among adult women and men: evidence from 2019/2020 Rwanda Demographic and Health Survey

BACKGROUND

Intimate partner violence (IPV) remains a global public health concern for both men and women. Spatial mapping and clustering analysis can reveal subtle patterns in IPV occurrences but are yet to be explored in Rwanda, especially at a lower small-area scale. This study seeks to examine the spatial distribution, patterns, and associated factors of IPV among men and women in Rwanda.

METHODS

This was a secondary data analysis of the 2019/2020 Rwanda Demographic and Health Survey (RDHS) individual-level data set for 1947 women aged 15-49 years and 1371 men aged 15-59 years. A spatially structured additive logistic regression model was used to assess risk factors for IPV while adjusting for spatial effects. The district-level spatial model was adjusted for fixed covariate effects and was implemented using a fully Bayesian inference within the generalized additive mixed effects framework.

RESULTS

IPV prevalence amongst women was 45.9% (95% Confidence interval (CI): 43.4-48.5%) while that for men was 18.4% (95% CI: 16.2-20.9%). Using a bivariate choropleth, IPV perpetrated against women was higher in the North-Western districts of Rwanda whereas for men it was shown to be more prevalent in the Southern districts. A few districts presented high IPV for both men and women. The spatial structured additive logistic model revealed higher odds for IPV against women mainly in the North-western districts and the spatial effects were dominated by spatially structured effects contributing 64%. Higher odds of IPV were observed for men in the Southern districts of Rwanda and spatial effects were dominated by district heterogeneity accounting for 62%. There were no statistically significant district clusters for IPV in both men or women. Women with partners who consume alcohol, and with controlling partners were at significantly higher odds of IPV while those in rich households and making financial decisions together with partners were at lower odds of experiencing IPV.

CONCLUSION

Campaigns against IPV should be strengthened, especially in the North-Western and Southern parts of Rwanda. In addition, the promotion of girl-child education and empowerment of women can potentially reduce IPV against women and girls. Furthermore, couples should be trained on making financial decisions together. In conclusion, the implementation of policies and interventions that discourage alcohol consumption and control behaviour, especially among men, should be rolled out.

Income Support Policy Packages and Birth Outcomes in U.S. States: An Ecological Analysis

Research suggests that generous social welfare programs play a role in maternal and child health. However, most studies examine a single policy in isolation. Drawing from research documenting low-income families 'packaging' of social policies, we create a novel measure summarizing the value of a collection of income support policies for the working poor. This collection includes: the Supplemental Nutrition Assistance Program (SNAP), the Earned Income Tax Credit (EITC), the minimum wage, and the unemployment insurance (UI) program. Using U.S. state-level administrative data from 1996 to 2014, we estimate fixed effects regression models to examine the relationship between birth outcomes and income support policies (individually and combined). We find that increases in the combined value of the four income supports are significantly associated with reductions in preterm births and low birthweight births, but not infant mortality rates. States with the highest observed levels of combined income support had 14% fewer PTBs and 7% fewer LBWs than states with the lowest levels of income support. Of the four individual income support policies, only unemployment insurance has no significant independent effects. SNAP benefits have the largest and most consistent effects, reducing poor birth outcomes across all three indicators. An annual increase of $1000 in SNAP benefits is associated with a 3% decline in infant deaths, 5% decline in preterm births, and 2% decline in low birthweight births. These results suggest that increasing the generosity of income support policies may be a promising strategy for improving birth outcomes in the United States.

Linear mixed model to identify the relationship between grain yield and other yield related traits and genotype selection for sorghum

Sorghum is the most popular crop in arid and semi-arid areas, especially in Sub-Saharan African countries. Genotype effects, environmental and the interaction of genotype by environmental factors have an influence on phenotypic traits. The aim of the study is to identify the relationship between grain yield and other yield-related traits and select the genotypes which perform better in grain yield as well as to examine the association between the uncorrelated phenotypic traits and grain yield via mixed model. The data was generated using a lattice square design. Principal component analysis was used to generate uncorrelated variables for the mixed model. The study revealed that there was a difference in grain yield due to the treatment and there was a pairwise relationship among the phenotypic variables. 77.12% of the total variance of the original phenotypic variables was explained by the first three principal components and decided to use PCAs as input variables for the mixed model. All PCs had significant effects on grain yield as well as grain yield variability due to random effects associated with genotypes, genotype interaction by treatment, and replication within the treatment. The variability of grain yield due to genotype effect was explained about 45.73%, the variation of grain yield due to the interaction of genotype by the treatment was also explained about 39.06% and 1.55% of the variation of grain was explained by replication within treatment. The best performer genotypes recommended for mass production were G40 (Genotype 40), G186 (Genotype 186) and G196 (Genotype 196) without any constraint of environment. The genotypes recommended for mass production under irrigation conditions were G40 (Genotype 40), G62 (Genotype 62) and G192 (Genotype 192). G26 (Genotype 26), G55 (Genotype 55) and G49 (Genotype 49) were the genotypes recommended for mass production under stress conditions. Overall, the study recommends using a mixed model to fit the grain yield, and future work will focus on to evaluate the performance of genotypes under different environments and years of production.

Simultaneity in binary outcome models with an application to employment for couples

Two of Peter Schmidt's many contributions to econometrics have been to introduce a simultaneous logit model for bivariate binary outcomes and to study estimation of dynamic linear fixed effects panel data models using short panels. In this paper, we study a dynamic panel data version of the bivariate model introduced in Schmidt and Strauss (Econometrica 43:745-755, 1975) that allows for lagged dependent variables and fixed effects as in Ahn and Schmidt (J Econom 68:5-27, 1995). We combine a conditional likelihood approach with a method of moments approach to obtain an estimation strategy for the resulting model. We apply this estimation strategy to a simple model for the intra-household relationship in employment. Our main conclusion is that the within-household dependence in employment differs significantly by the ethnicity composition of the couple even after one allows for unobserved household specific heterogeneity.

A guide to appropriately planning and conducting meta-analyses: part 2-effect size estimation, heterogeneity and analytic approaches

Meta-analyses by definition are a subtype of systematic review intended to quantitatively assess the strength of evidence present on an intervention or treatment. Such analyses may use individual-level data or aggregate data to produce a point estimate of an effect, also known as the combined effect, and measure precision of the calculated estimate. The current article will review several important considerations during the analytic phase of a meta-analysis, including selection of effect estimators, heterogeneity and various sub-types of meta-analytic approaches.

The contingent effect of incarceration on state health outcomes

Introduction

This study examines how growth in the population of former prisoners affects rates of communicable diseases such as tuberculosis, syphilis, chlamydia, and HIV.

Methods

We estimate state-level fixed effects count models showing how the former prisoner population affected communicable disease in U.S. states from 1987 to 2010, a period of dramatic growth in incarceration.

Results

We find contingent effects, based on how specific diseases are recognized, tested, and treated in prisons. The rate of former prisoners increases diseases that are poorly addressed in the prison health care system (e.g., chlamydia), but decreases diseases that are routinely tested and treated (e.g., tuberculosis). For HIV, the relationship has shifted in response to specific treatment mandates and protocols. Data on prison healthcare spending tracks these contingencies.

Discussion

Improving the health of prisoners can improve the health of the communities to which they return. We consider these results in light of the relative quality of detection and treatment available to underserved populations within and outside prisons.

Suicide as globalisation's Black Swan: global evidence

OBJECTIVES

This empirical study investigated the relationship between globalisation and suicide rates. We examined whether there is a beneficial or harmful relationship between economic, political and social globalisation and the suicide rate. We also estimated whether this relationship differs in high-, middle- and low-income countries.

STUDY DESIGN

Using panel data from 190 countries over the period 1990-2019, we examined the relationship between globalisation and suicide.

METHOD

We compared the estimated effect of globalisation on suicide rates using robust fixed-effects models. Our results were robust to dynamic models and models with country-specific time trends.

RESULTS

The effect of the KOF Globalisation Index on suicide was initially positive, leading to an increase in the suicide rate before decreasing. Concerning the effects of economic, political, and social dimensions of globalisation, we found a similar inverted U-shaped relationship. Unlike the middle-income and high-income countries, we found a U-shaped relationship for the case of low-income countries, indicating that suicide decreased with globalisation and then increased as globalisation continues to increase. Moreover, the effect of political globalisation disappeared in low-income countries.

CONCLUSION

Policy-makers in high- and middle-income countries, below the turning points, and low-income countries, above the turning points, must protect vulnerable groups from globalisation's disruptive forces, which can increase social inequality. Consideration of local and global factors of suicide will potentially stimulate the development of measures that might reduce the suicide rate.

Evaluating technological innovation impact: an empirical analysis of the offshore wind sector

This study analyzed the determinants that impact innovation on offshore wind energy (OSW) for a select group of countries, applying mixed-method approaches for a period between 2011 and 2021. The OSW sector witnessed cost reductions in recent years; therefore, this study analyzed how these factors impact technological innovation in the OSW sector. The fixed effects results proved trademark, carbon emissions, offshore wind capacity, and electricity from renewable energy, technical and scientific journals are significant and impact innovation regarding offshore wind energy. The maximum likelihood (MLE) coefficients are more robust than the restricted maximum likelihood (MREL) and better explained the significance of the variables in spurring OSW innovation. Ultimately, the interaction term "cross" came out significant in the analysis. It signified the importance of the interaction variables in scaling innovation. Similarly, the study forecasted OSW capacity additions to grow to more than 28GW by 2036, at a 48.8% growth rate, from the current over 55 G.W. capacity. Additionally, the infrastructure development of the OSW sector via a fitted line between total global offshore capacity and the development projects observed a negative relationship among these dual factors evaluated in the OSW, showing a decreasing trend of capacity additions among countries, as well as the fitted line relationship between total country OSW capacity and operational projects showed that China leads the globe with operational OSW projects. At the same time, Brazil is the new leader in the world regarding OSW capacity. The general analysis of the parameters of the OSW infrastructure plan showed the sector is declining regarding secured projects, development projects, operational projects, and capacities additions in some countries. However, global total capacity additions are on a steady path, declining a bit. This is attributable to the pandemic that slowed the global economy. This study will serve as a reference document for policy formulators regarding scaling up innovation for offshore wind energy.

The impact of cover crops on soil erosion in the US Midwest

This study examines the impact of cover crop adoption on soil erosion levels in the United States (US) Midwest. Based on a novel county-level panel data set with information on soil erosion levels and remotely-sensed cover crop acreage, we estimate linear panel fixed effect econometric models and conduct a number of robustness checks to investigate the direct impact of cover crops on two major types of soil erosion (wind and water erosion). Although we find that counties with higher cover crop acreage have statistically lower soil erosion levels due to water, wind, or both, we believe that the magnitudes of the estimated effects are modest. Longer-term multi-year use of cover crops also do not seem to increase the soil erosion reducing effects of cover crops over time. Results from the empirical analysis provide further empirical evidence on the impact of cover crops on soil erosion based on data that captures farmer behavior at the county-level and covers a wider geographical region in the US. Our findings also give insights to policy makers in terms of further understanding the magnitude of the soil erosion benefits from cover crops.

No "honeymoon phase": whose health benefits from retirement and when

Does retirement lead to a short, transitory health boost, followed by a stable longer-run effect? The short-run effect has been hypothesized to be a kind of honeymoon effect, that is followed by a longer-run effect that may be either positive or negative. We examine the time path of the health effect of retirement and study effect heterogeneities between individuals along several dimensions. Moreover, we study a broad range of health outcomes, all in order to come to an understanding of the effect patterns that lie behind the diverse findings reported in previous research. For identification we use a fixed effects instrumental variable approach in which the normal and early retirement age thresholds serve as instruments. Using data for 10 countries from the Survey of Health, Retirement and Ageing in Europe (SHARE), we find that retiring both at the normal and early retirement eligibility ages significantly improves all the health aspects we consider. Other than hypothesized, results do not show a honeymoon phase-like transitory health boost. Instead, especially blue-collar workers go through an adjustment period after retiring, in which their health worsens. Afterwards, health stabilizes and improves, so that retirement has a health preserving effect in the longer run. This beneficial health effect of retirement occurs across all occupational groups, across a range of health outcomes, and for both sexes, though there are a number of heterogeneities between groups regarding which health outcomes are particularly affected.

A new alcohol-related traffic law, a further reduction in traffic fatalities? Analyzing the case of Turkey

BACKGROUND

In June 2013, an alcohol-related traffic law took effect in Turkey. The law 6487 introduced administrative fines for not respecting blood alcohol concentration limits, health warning messages on alcohol containers (bottles, cans), and prohibited the sale of alcohol beverages in retail facilities between 10 p.m. and 6 a.m.. This article examines how this law is associated with traffic fatality variation.

METHODS

Data from the Turkish Statistical Institute for the 2008-2019 period were analyzed. Outcomes were traffic fatality rates per 100,000 population and 10,000 motor vehicles. Exposure variable was the presence of law 6487. Alcohol, tobacco, and related beverages' household expenditure, unemployment rate, number of health professionals, number of crashes, and lags of the outcomes represented control variables. A time-series cross-regional fixed effect model was applied.

RESULTS

Empirical estimates suggest that the law 6487 was associated with a reduction of 15% (Incidence Rate Ratio (IRR) 0.85, 95% Confidence Interval (CI): 082, 0.94) in the traffic fatality per population rate and with a reduction of 14% (IRR: 0.86 (95% CI: 0.78, 0.92) in the traffic fatality per motor-vehicle rate. After 6 years of its implementation, this intervention was associated with an absolute reduction of 1519 (95% reduction interval: 1177, 1810) traffic fatalities.

CONCLUSIONS

Our research emphasizes that legislation with direct and indirect measures targeting driving under the influence of alcohol (DUIA) may be related to traffic fatalities reduction.

PRACTICAL APPLICATIONS

This finding has important implications for policy and future research in contexts in which alcohol consumption is low such is in Turkey. Future research should seek to identify mechanisms that explain how laws are ultimately associated with DUIA variation.

Is the Effect of Environmental Attitudes on Behavior Driven Solely by Unobserved Heterogeneity?

A large body of research exists investigating the link between environmental attitudes and behavior. Many empirical studies have found modest positive effects, suggesting that attitudes toward the environment might indeed influence environmental behavior. However, most of the previous empirical work is cross-sectional and correlational in nature. This means that the issue of the causal effect of environmental attitudes on behavior is far from settled, and that the relationships observed in the past may be due to unobserved confounders. In a panel study using six waves of the GESIS Panel Survey, we examine the individual-level effect of changes in one's attitudes on changes in different forms of environmental behavior. We use fixed effects panel regression within the structural equation modeling framework to control for unobserved time-invariant confounders, while also tackling other methodological challenges. We find that environmental attitudes have no effect on behavior after controlling for unobserved confounders. However, there is a robust effect of attitudes on willingness to sacrifice. This suggests that creating more positive attitudes might make individuals more willing to accept sacrifices for environmental protection.

The demographic and economic features: the nexus with internet use

The goal of this study was to examine the nexus between demographic dividend type and economic features with internet use. The data source was from the World Development Indicator of the World Bank. The unit analysis was country. The panel data analysis method were used for the examination, employing fixed effects regression models using country income level, country regional group, and year as identifiers. The random effects regression model, pooled least square model, and static generalized method of moments were utilized for robustness checks. The dependent variable was the percentage of population using the internet. The independent variables consisted of demographic and economic variables. The demographic variable was the demographic dividend type, while the economic variables were access to electricity, GDP, inflation rate, and foreign direct investment. The results of fixed effects regression indicate that after controlling for the economic features, higher internet use in a country was associated with late- and post-demographic dividend type. Higher internet use was also associated with higher access to electricity, higher GDP, lower inflation rate, and higher foreign direct investment inflow. Robustness checks using random-effects and pooled least square models, using fixed-effects model by country income level, using two-stage least square, and using second stage regression by G20 and non-G20 country group division and year, similarly gave consistent results. The association of internet use with the demographic and economic features may imply that population-based and economic development program should be enhanced toward the favorable ones that increase internet usage among the population.

The Role of Conditional Likelihoods in Latent Variable Modeling

In psychometrics, the canonical use of conditional likelihoods is for the Rasch model in measurement. Whilst not disputing the utility of conditional likelihoods in measurement, we examine a broader class of problems in psychometrics that can be addressed via conditional likelihoods. Specifically, we consider cluster-level endogeneity where the standard assumption that observed explanatory variables are independent from latent variables is violated. Here, "cluster" refers to the entity characterized by latent variables or random effects, such as individuals in measurement models or schools in multilevel models and "unit" refers to the elementary entity such as an item in measurement. Cluster-level endogeneity problems can arise in a number of settings, including unobserved confounding of causal effects, measurement error, retrospective sampling, informative cluster sizes, missing data, and heteroskedasticity. Severely inconsistent estimation can result if these challenges are ignored.

The Brazilian Family Health Strategy and adult health: Evidence from individual and local data for metropolitan areas

Previous studies have found that the expansion of primary health care in Brazil following the country-wide family health strategy (ESF), one of the largest primary care programs in the world, has improved health outcomes. However, these studies have relied either on aggregate data or on limited individual data, with no fine-grained information available concerning household participation in the ESF or local supply of ESF services, which represent crucial aspects for analytical and policy purposes. This study analyzes the relationship between the ESF and health outcomes for the adult population in metropolitan areas in Brazil. We investigate this relationship through two linked dimensions of the ESF: the program's local supply of health teams and ESF household registration. In contrast with previous studies focusing on comparisons between certain definitions of "treated" versus "nontreated" populations, our results indicate that the local density of health teams is important to the observed effects of the ESF on adult health. We also find evidence consistent with the presence of positive primary health care spillovers to people not registered with the ESF. However, current ESF coverage levels in metropolitan areas have limited ability to address prevailing health inequalities. Our analysis suggests that the local intensity of ESF coverage should be a key consideration for evaluations and policy efforts related to future ESF expansion.

Female education and maternal health care utilization: evidence from Uganda

Background

Maternal health care is among the key indicators of population health and economic development. Therefore, the study attempted to explore female education and maternal healthcare utilization in Uganda. The study identified the causal effect of introduction of free education by exploiting the age as an instrument at the second stage model (BMC Health Serv Res. 2015. 10.1186/s12913-015-0943-8; Matern Child Health J. 2009;14:988–98). This instrument provided an exogenous source of variation in the years of schooling and allowed to implement a regression discontinuity design which accounted for heterogeneity in the cohort overtime.

Methods

The study used the Ordinary Least Squares (OLS) to help predict years of schooling that were used in the second stage model in the Two Stage Least Squares (2SLS). The study further used the Regression Discontinuity Design (RDD) model with a running variable of birth years to observe its effect on education. To control for heterogeneity in regions in the second stage model, a fixed effects model was used.

Results

Female education indeed had a positive impact on maternal health care utilization. It was further found out that age also influences maternal health care utilization.

Conclusions

Therefore, as an effort to improve professional maternal health care utilisation, there is need to focus on education beyond primary level. Uganda Government should also ensure that there is an improvement in community infrastructure and security across all regions and locations.

Maternal health care (MHC) utilization is one of the Millennium Development Goals (SDG) of pursuit. Globally, most low-income countries like Uganda contribute greatly to pregnancy-related mortalities that are largely preventable through adequate utilization of essential maternal health care services. Though Uganda over time has registered some increase in maternal utilization, this has been attributed to a number of factors. This study intended to demonstrate whether the introduction of free primary education in Uganda led to increase in the utilization of maternal health services. To address this, we used Ordinary Least Squares (OLS), Two Stage Least Squares (2SLS), Probit and Regression Discontinuity Design (RDD) models using Demographic Health Survey (DHS) data 2006 and 2011. The study found out that indeed the introduction of free primary education increased the utilization of MHC.

Bridging the gap between multilevel modeling and economic methods

Many datasets used in the social sciences have a hierarchical structure, where lower units of aggregation are 'nested' in higher units. In many disciplines, such data are analyzed using multilevel modeling (MLM, also known as hierarchical linear modeling). However, MLM as a framework is relatively unknown in economics. Instead, economists use a range of separate econometric methods, including cluster-robust standard errors, fixed effects models, models with cross-level interactions, and estimated dependent variable models. Relying on an extensive literature review, this paper describes this methodological divide and provides a detailed comparison between MLM and 'economic methods' in their abilities to deal with three methodological challenges inherent in multilevel data ‒ clustering, omitted variables, and coefficients' heterogeneity across groups. We unfold the comparative advantages of these two methodological approaches and provide practical recommendations about which of them should be used, why, and in what settings.

Felon history and change in U.S. employment rates

In recent decades, the share of U.S. adults with felony-level criminal records has risen and the growth in the employment rate has slowed. Sociological theories of labeling and stigmatization, as well as economic theories of statistical discrimination, suggest a possible causal connection between the two phenomena. Surveys of employers have shown increasing reliance on criminal background checks, for example, and audit studies reveal explicit discrimination against people with felony-level criminal records. This paper draws on novel, state-level annual measures of individuals with felony-level records to estimate pooled cross-sectional, panel models predicting changes in aggregate employment rates. Estimates from these models indicate that a 1 percentage point increase in the share of a state's adult population with a felony history is associated with 0.3 percentage point increase in non-employment (being unemployed or not in the labor force) among those aged 18 to 54. Subgroup analysis shows that effects are stronger for women and whites. These results suggest that the stigma of a felony record may play an important part in aggregate employment rates as well as in individual hiring practices.

Gender differences in the relationship between informal caregiving and subjective health: the mediating role of health promoting behaviors

Background

In most of developed societies, the prevalence of informal care is on the rise due to rapid population ageing. This study investigates longitudinal associations between informal caregiving and health among caregivers and potential gender differences in this relationship. Moreover, drawing on the Health Promotion Model, this study examines the mediating role of health promoting behaviors in the link between informal caregiving and caregiver’s health.

Methods

Seven waves of a large-scale (N = 9,608), a nationally representative longitudinal study of middle- and old-aged adults in Korea between 2006 and 2018, were used. To address the possibility of omitted variable bias, this study employed ordinary least squares models with lagged dependent variables (OLS-LDV) as well as fixed effects (FE) models. Univariate Sobel-Goodman mediation tests were used.

Results

Findings from OLS-LDV models showed that transition into informal caregiving is negatively associated with health satisfaction and self-rated health. FE results also suggest that our results are robust to controlling for unobserved heterogeneity. In the model where informal caregiving is interacted with gender, we found that these associations were largely driven by women caregivers. Results from Sobel-Goodman tests revealed that a decrease in regular exercise partially explains the observed association between informal caregiving and subjective health outcomes (11% for health satisfaction and 8% for self-rated health).

Conclusions

Although informal caregiving can be a rewarding role, it poses a threat to caregiver’s subjective health. Findings of this hold important implications and provide evidence in support of a gender-conscious approach to improve the health and well-being of informal caregivers.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-12612-3.

Accounting for total variation and robustness in profiling health care providers

Monitoring outcomes of health care providers, such as patient deaths, hospitalizations, and hospital readmissions, helps in assessing the quality of health care. We consider a large database on patients being treated at dialysis facilities in the United States, and the problem of identifying facilities with outcomes that are better than or worse than expected. Analyses of such data have been commonly based on random or fixed facility effects, which have shortcomings that can lead to unfair assessments. A primary issue is that they do not appropriately account for variation between providers that is outside the providers' control due, for example, to unobserved patient characteristics that vary between providers. In this article, we propose a smoothed empirical null approach that accounts for the total variation and adapts to different provider sizes. The linear model provides an illustration that extends easily to other non-linear models for survival or binary outcomes, for example. The empirical null method is generalized to allow for some variation being due to quality of care. These methods are examined with numerical simulations and applied to the monitoring of survival in the dialysis facility data.

Long-Term Effects of Integrated Strategies of Community Health Promotion on Diabetes Mellitus Mortality: a Natural Policy Experiment Based on Aggregated Longitudinal Secondary Data

Integrated strategies of community health promotion (ISCHP) are based on intersectoral collaborations using the Health in All Policies approach to address determinants of health. While effects on health determinants have been shown, evidence on the effectiveness of ISCHP on health outcomes is scarce. The aim of this study is to assess the long-term effects of ISCHP on diabetes mellitus mortality (DMM) in German communities. A nonrandomized evaluation based on secondary county-level official data (1998-2016) was performed. In April 2019, 149 communities in Germany with ISCHP out of 401 were identified. Communities with < 5 measurements of DMM, starting before 1999 or after 2015, were excluded. Analyses included 65 communities with ISCHP (IG) and 124 without ISCHP (CG). ISCHP ran for a mean of 5.6 years. Fixed effects (FE) models were used to estimate effects of ISCHP and duration on DMM taking into account the time-varying average age. The FE estimator for DMM is b =  - 2.48 (95% CI - 3.45 to - 1.51) for IG vs. CG and b =  - 0.30 (95% CI - 0.46 to - 0.14) for ISCHP duration (0-16 years). In the first year of an ISCHP, a reduction of the annual DMM of 0.3 per 100,000 population (1%), and in the 16th year of 4.8 (14%) was achieved. This study provides preliminary evidence of the effectiveness of ISCHP in Germany. Limitations include inaccuracies to classify IG and CG and possible selection bias. Longitudinal county-level data may be an efficient data source to evaluate complex interventions, thereby contributing to further strengthen evidence-based integrated health promotion.

Spatial data analysis of malnutrition among children under-five years in Ethiopia

Background

Childhood malnutrition is a major cause of child mortality under the age of 5 in the sub-Saharan Africa region. This study sought to identify the risk factors and spatial distribution of the composite index of anthropometric failure (CIAF).

Methods

Secondary data from 2000, 2005, 2011, and 2016 Ethiopian Health and Demographic Survey (EDHS) were used. The generalized geo-additive mixed model was adopted via the Integrated Nested Laplace Approximation (INLA) with a binomial family and logit link function.

Results

The CIAF status of children was found to be positively associated with the male gender, the potency of contracting a disease, and multiple births. However, it was negatively associated with family wealth quartiles, parental level of education, place of residence, unemployment status of mothers, improved sanitation, media exposure, and survey years. Moreover, the study revealed significant spatial variations on the level of CIAF among administrative zones.

Conclusions

The generalized geo-additive mixed-effects model results identified gender of the child, presence of comorbidity, size of child at birth, dietary diversity, birth type, place of residence, age of the child, parental level of education, wealth index, sanitation facilities, and media exposure as main drivers of CIAF. The results would help decision-makers to develop and carry out target-oriented programs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-021-01391-x.

Birth order and alcohol-related mortality by ethnic origin and national context: Within-family comparisons for Finland and Sweden

BACKGROUND

Previous studies have found that birth order is an important predictor of later life health, including hospitalisation for alcohol use. We examine the relationship between birth order and alcohol-related mortality in two national contexts, within native families who differ on ethnic origin.

METHODS

We study the association between birth order and alcohol-related mortality after age 17, using Finnish register data for cohorts born 1953-1999 and Swedish register data for cohorts born 1940-1999. We apply Cox proportional hazard models and use sibling fixed effects that eliminate confounding by factors shared by siblings. We separate full-sibling groups by ethnic origin, which for Finland means mother's and father's Finnish or Swedish ethnolinguistic affiliation. For Sweden, we distinguish native-born according to whether one or both parents were born in Sweden or Finland.

RESULTS

We find a positive correlation between birth order and alcohol-related mortality, but only for ethnic Finns in Finland and primarily men. Within these sibling groups, second-borns have an alcohol-related mortality risk that is 9% higher than that of first-borns, third-borns 19 % higher, fourth-borns 22 % higher, and fifth- or higher-borns 47 % higher. No such birth order associations can be found for any of the other ethnic groups analysed in Finland or Sweden.

CONCLUSIONS

Our findings suggest that cultural-related behaviours typical for ethnic groups, and the national context in which they are studied, are relevant for whether any association between birth order and alcohol-related mortality can be observed. Differences in the social interplay within the family may be an important factor.

Gender differences in the relationship between perceived discrimination and personality traits in young adulthood: Evidence using sibling fixed effects

RATIONALE

Although perceived discrimination (PD) is known to be associated with personality traits, family background characteristics may confound this association. Moreover, little is known about whether the relationship differs by gender.

OBJECTIVE

This study investigates whether the association between PD and personality traits is confounded by family background characteristics. Given gender differences in contexts and perceptions of discrimination as well as personality traits, this study also explores whether the association between PD and personality traits differs for men and women.

METHODS

Using data from the National Longitudinal Study of Adolescent to Adult Health, this study examines the association between PD and Big Five personality traits among young adults. This study uses sibling fixed effects models with a lagged dependent variable to account for unobservable family-level characteristics, such as genetics, parental characteristics, family environment, and childhood social contexts.

RESULTS

Sibling fixed effects estimates showed that PD was associated with lower levels of conscientiousness and extraversion and higher levels of neuroticism. There were also gender differences such that PD was associated with lower conscientiousness only for women and lower extraversion only for men. The positive association with neuroticism was apparent for both men and women.

CONCLUSION

This study suggests that the association between PD and personality traits is generally not confounded by stable family-level characteristics shared by siblings. This study also documents gender differences in the relationship between PD and personality traits. Given substantial implications of personality for a broad range of outcomes, especially among young adults, the findings of this study reaffirm the commitment of the whole society to eradicate any form of discrimination.

Socio-economic resources and adult mental health in Canada: controlling for time-invariant confounders and investigating causal directionality

OBJECTIVE

The aim of this study was to investigate whether family income and education have a causal effect on psychological distress among Canadian adults.

METHODS

We executed fixed-effects regression analyses using data from the Longitudinal and International Study of Adults (LISA). We investigated whether changes in family income and education from wave 2 (2014) to wave 3 (2016) corresponded with changes in psychological distress during this same time period. We also investigated whether changes in these socio-economic resources from wave 1 (2012) to wave 2 (2014) corresponded with lagged changes in psychological distress from wave 2 (2014) to wave 3 (2016). These models controlled for all time-invariant confounders with time-invariant effects, as well as the time-varying factors age, marital status, household size, and employment status.

RESULTS

Obtaining a postsecondary degree corresponded with lagged decreases in psychological distress among women ages 18 to 32 (b = -1.97; 95% CI = -3.53, -0.42) and men over the age of 32 (b = -1.86; 95% CI = -3.57, -0.15). The effect of postsecondary education was stronger when considering adults who stayed married throughout the three waves (b = -2.29; 95% CI = -4.37, -0.21).

CONCLUSION

Completing postsecondary education may have a lagged causal effect on psychological distress, and the life course timing for when postsecondary completion reduces distress is different for women and men.

Gendered associations between household labour force participation and mental health using 17 waves of Australian cohort data

PURPOSE

There is some evidence that employed women report more time pressure and work-life penalties than employed men and other women; however little is known about whether this exerts a mental health effect. This analysis examined associations between household labour force arrangements (household-employment configuration) and the mental health of men and women.

METHODS

Seventeen waves of data from the Household Income and Labour Dynamics Survey (2001-2017) were used. Mental health was measured using the Mental Health Inventory (MHI-5). A six-category measure of household-employment configuration was derived: dual full-time employed, male-breadwinner, female-breadwinner, shared part-time employment (both part-time), male full-time/female part-time (modified male-breadwinner, MMBW), and female full-time/male part-time. Using fixed-effects regression methods, we examined the within-person effects of household-employment configuration on mental health after controlling for time-varying confounders.

RESULTS

For men, being in the female-breadwinner configuration was associated with poorer mental health compared to being in the MMBW configuration (β-1.98, 95% CI - 3.36, - 0.61). The mental health of women was poorer when in the male-breadwinner configuration, compared to when in the MMBW arrangement (β-0.89, 95% CI - 1.56, - 0.22).

CONCLUSION

These results suggest that the mental health of both men and women is poorer when not in the labour force, either as a man in the female-breadwinner arrangement, or as a woman in the male-breadwinner arrangement. These results are particularly noteworthy for women, because they pertain to a sizeable proportion of the population who are not in paid work, and highlight the need for policy reform to support women's labour force participation.

Social media use and emotional and behavioural outcomes in adolescence: Evidence from British longitudinal data

We investigate the relationship between social media use and emotional and behavioural outcomes in adolescence using data from a large and detailed longitudinal study of teenagers from the UK. We use individual fixed effects, propensity score matching and treatment effects with Inverse Probability Weighted Regression Adjustment, controlling for a rich set of children's and family's characteristics and using comprehensive sensitivity analyses and tests to assess the potential role of unobserved variables. Our results show that prolonged use of social media (more than 4 hours per day) is significantly associated with poor emotional health and increased behavioural difficulties, and in particular decreased perception of self-value and increased incidence of hyperactivity, inattention and conduct problems. However, limited use of social media (less than 3 h per day) compared to no use has some moderate association with positive peer relationships.

Identifying sensitive periods when changes in parenting and peer factors are associated with changes in adolescent alcohol and marijuana use

PURPOSE

There are well-established associations between parental/peer relationships and adolescent substance use, but few longitudinal studies have examined whether adolescents change their substance use in response to changes in their parents' behavior or peer networks. We employ a within-person change approach to address two key questions: Are changes in parenting and peer factors associated with changes in adolescent marijuana and alcohol use? Are there sensitive periods when changes in parenting and peer factors are more strongly associated with changes in adolescent marijuana and alcohol use?

METHODS

We analyzed longitudinal data collected annually on 503 boys, ages 13-19, recruited from Pittsburgh public schools. Questionnaires regarding parental supervision, negative parenting practices, parental stress, physical punishment, peer delinquency, and peer drug use were administered to adolescents and their caretakers. Alcohol and marijuana use were assessed by a substance use scale adapted from the National Youth Survey.

RESULTS

Reductions in parental supervision and increases in peer drug use and peer delinquency were associated with increases in marijuana frequency, alcohol frequency, and alcohol quantity. Increases in parental stress were associated with increases in marijuana and alcohol frequency. The magnitudes of these relationships were strongest at ages 14-15 and systematically decreased across adolescence. These associations were not due to unmeasured stable confounders or measured time-varying confounders.

CONCLUSIONS

Reducing or mitigating changes in parenting and peer risk factors in early adolescence may be particularly important for preventing substance use problems as adolescents transition into young adulthood.

Estimating group fixed effects in panel data with a binary dependent variable: How the LPM outperforms logistic regression in rare events data

Estimating fixed effects models can be challenging with rare events data. Researchers often face difficult trade-offs when selecting between the Linear Probability Model (LPM), logistic regression with group intercepts and the conditional logit. In this paper, I survey these tradeoffs and argue that, in fact, the LPM with fixed effects produces more accurate estimates and predicted probabilities than maximum likelihood specifications when the dependent variable has less than 25 percent of ones. I use Monte Carlo simulations to show when the LPM with fixed effects should be preferred. I perform these simulations on common time-series cross-sectional (TSCS) data structures found in the literature as well as big data. This paper provides clarity around fixed effects models in TSCS data and a novel technique to identify which one to use as a function of the frequency of events in y.

Do transitions in and out of homelessness relate to mental health episodes? A longitudinal analysis in an extremely disadvantaged population

This paper studies the association between homelessness and mental health episodes focusing on episodes of depression, anxiety and other conditions (bipolar affective disorder, schizophrenia, and post-traumatic stress disorder). Using panel data from the Australian Journeys Home survey, we investigate the extent to which this association is due to common determinants of homelessness and mental health episodes, or whether there is a causal link between them. The results indicate that episodes of depression increase the probability that a person becomes homeless. This is not the case for other mental health conditions. We find no evidence that becoming homeless causes a person to have a mental health episode. Instead, respondents are less likely to be diagnosed with depression in the 6 months after being precariously housed. Overall, our results indicate that, except for depression, the links between mental health episodes and homelessness are complex and are mostly unlikely to be causal. Using information on service usage, we find suggestive evidence that people use mental health services when they need to but that more coordination with housing services is required to protect them from becoming precariously housed.

Is the problem mine, yours, or ours? The impact of unemployment on couples' life satisfaction and specific domain satisfaction

Using longitudinal data from the German Socio-Economic Panel (SOEP, 1984-2017) and conducting fixed effects panel regressions, this study investigates the impact of unemployment on couples' overall life satisfaction, as well as both partners' satisfaction in specific life domains. Results confirm that job loss is harmful to both partners' life satisfaction. In line with gender role models, the costs of unemployment are significantly higher in couples in which the male partner is unemployed and these differences are much more pronounced in West Germany than in East Germany. Although the consequences of unemployment are primarily negative, the findings also reveal positive side-effects for the unemployed individual thanks to the increased time available for leisure activities. This applies to both unemployed men and women. Similar effects are not observed among their respective partners, who do not enjoy a shift in time use as a result of their partners' job loss. Regarding the non-pecuniary costs of unemployment, significant spillover effects on partners' well-being only emerge among female partners of unemployed men in West Germany: They become significantly less satisfied with health, housework, leisure and family life upon men's unemployment.

The New school food standards and nutrition of school children: Direct and Indirect Effect Analysis

The Healthy, Hunger-Free Kids Act (HHFKA) of 2010 made sweeping changes to school nutritional standards. We estimate the impacts of shifts in school nutritional standards on dietary quality as well as dietary quantity of children's food intakes from school and away-from-school food sources. We find the average effect of consuming school food, rather than away-from-school food, on children's overall dietary quality significantly increased from the pre- to post-HHFKA implementation period. This effect was solely driven by substantial improvements in the dietary quality of foods acquired at school, mainly among older and higher-income children. Our indirect effect analysis indicated that children shifted towards consuming lower-quality diets at home in the post-HHFKA period, thereby partially offsetting the positive effects of the HHFKA on their overall dietary quality. Indirect impacts were primarily driven by a subset of children consuming more than a third of their daily calories from school food. Additionally, we find suggestive evidence of a modest decrease in daily calorie intake, particularly among older and higher-income children. Together, our findings imply that the HHFKA, despite its unintended negative indirect effects, led children to consume more-nutritious, less-energy-dense diets.

Shifts in gender equality and suicide: A panel study of changes over time in 87 countries

BACKGROUND

Increasing gender equality remains an imperative for countries and organisations worldwide, and is associated with the improved life outcomes of men and women. Unlike many health and wellbeing indicators, death by suicide is more common among men, but suicidal behaviours are more common among women. Understanding of the relationship between gender equality and suicide is inchoate, and limited to cross-sectional work. We sought to address this gap by examining within-country changes in gender equality over time, in relation to suicide rates.

METHODS

Data from 87 countries for the years 2006-2016 were used in this analysis. Gender Equality was measured using the Gender Gap Index (GGI), produced by the World Economic Forum. Male and female suicide rates came from the World Health Organization. Fixed and random-effects unbalanced panel regression models were used, adjusting for: GDP/capita; population; urban/rural ratio; number of children/person;% unemployed; year. Models were stratified by gender.

RESULTS

Increasing within-country gender equality was associated with a significant reduction in suicide rates for women (Coef. -7.08, 95% CI -12.35 to -1.82, p = 0.009). For men, there was insufficient evidence that increasing within-country gender equality was associated with reduced within-country suicide rates (Coef. -5.76, 95% CI -19.40 to 7.86, p = 0.403).

LIMITATIONS

The reporting and collection of suicide data is known to vary across countries.

CONCLUSION

There is evidence that within-country increases in gender equality are associated with significant reductions in within-country suicide-rates for women. More research is needed to understand the drivers of these associations.

Mediation of the relationship between home loss and worsened cardiometabolic profiles of older disaster survivors by post-disaster relocation: A natural experiment from the Great East Japan earthquake and tsunami

The underlying mechanism for deterioration in cardiometabolic health after major natural disasters is unknown. We leveraged natural experiment data stemming from the 2011 Great East Japan Earthquake and Tsunami (n = 1165) to examine whether specific types of post-disaster accommodations explain the association between disaster-related property damage and objectively measured cardiometabolic profiles of older disaster survivors. Causal mediation analysis showed that relocation to trailer-style temporary shelters largely mediated the associations between home loss and unhealthy changes in anthropometric measures (72.6% of 0.65 kg/m² for body mass index and 62.3% of 3.89 cm for waist circumference), but it did not mediate the associations with serum lipid measures. This study demonstrates that there are outcome-specific pathways linking disaster damage and health of survivors.

Estimating the influence of adolescent delinquent behavior on adult health using sibling fixed effects

Despite the well-established link between juvenile delinquency and socioeconomic attainment in adulthood, less is known about whether engagement in delinquent behavior during adolescence shapes adult health outcomes. This study examines the association between juvenile delinquency and adult physical and mental health, and whether this association is confounded by unobserved family heterogeneity. Moreover, this study explores the potential underlying mechanisms through which juvenile delinquency shapes adult physical and mental health. Using data from the National Longitudinal Study of Adolescent to Adult Health (Add Health) 1994-1995 (Wave 1) and 2007-2008 (Wave 4), we adopted a sibling fixed effect approach to account for genetic factors, family environment, and childhood social contexts such as school and neighborhood effects. The conventional OLS results show that engagement in delinquent behavior during adolescence strongly predicts higher levels of Framingham cardiovascular disease (CVD) risk score and depressive symptoms in adulthood. Once we account for family-specific heterogeneity, however, the point estimates of the associations of delinquency with CVD risk score and depressive symptoms are attenuated by 33% and 45%, respectively. Despite this attenuation, the association of juvenile delinquency with adult health is robust: a one standard-deviation increase in juvenile delinquency is associated with approximately 8 and 6 percent of one standard-deviation increases in CVD risk and depressive symptoms, respectively. Our mediation analyses suggest that a combination of several mediating pathways jointly explain the association between juvenile delinquency with adult health. The most consistent and significant mediating pathways connecting juvenile delinquency to both physical and mental health included disruption in student-teacher relationship, smoking, criminal justice contact, and educational attainment. Moreover, while binge drinking explained part of the association between delinquency and CVD risk score, student-friend relationship partially mediated the association with depression.

Do financial barriers to access to primary health care increase the risk of poor health? Longitudinal evidence from New Zealand

Primary health care policies in New Zealand, as in many countries, have focused on reducing barriers to access. Financial barriers to obtaining timely health care, while not the only important barriers, are amongst the most important, and are amenable to policy reforms. There is little robust empirical evidence about the extent to which cost related barriers are associated with adverse health outcomes. Past evidence is limited to cross-sectional studies of selected groups, selected primary health care services, and to cross-sectional studies that are susceptible to unmeasured confounding bias. Using fixed effects regression modelling and data from 17,363 participants with at least two observations in three waves (2004-05, 2006-07, 2008-09) of the SoFIE-Health panel data, this study examines the impact of financial barriers to access to primary health care (general practitioner and dentist) on health status using a longitudinal national panel study of adult New Zealanders. Self-rated health (SRH), physical health (PCS) and mental health summary scores (MCS) were the health measures. The two exposures were: not seeing 1) the doctor and 2) the dentist because of cost at least once during the preceding 12 months. We also tested for interactions between the exposure (deferral of care) and age, gender, ethnicity and three health outcomes. For all outcomes, after adjusting for time-varying confounders, health deteriorated as the number of waves increased in which a non-visit was reported. Moreover, the effect size for any health deterioration was greater for deferring a dentist visit than for deferring a physician visit. Except gender and age (for MCS and doctor visits), and gender and ethnicity (for SRH and dentist visits) we did not find any evidence of interactions. These results support policy responses focussed on decreasing financial barriers to access. In the New Zealand context this finding is particularly important for dental care.

The effect of cash transfers on mental health - new evidence from South Africa

BACKGROUND

Mental health and poverty are strongly interlinked. There is a gap in the literature on the effects of poverty alleviation programmes on mental health. We aim to fill this gap by studying the effect of an exogenous income shock generated by the Child Support Grant, South Africa's largest Unconditional Cash Transfer (UCT) programme, on mental health.

METHODS

We use biennial data on 10,925 individuals from the National Income Dynamics Study between 2008 and 2014. We exploit the programme's eligibility criteria to estimate instrumental variable Fixed Effects models.

RESULTS

We find that receiving the Child Support Grant improves adult mental health by 0.822 points (on a 0-30 scale), 4.1% of the sample mean.

CONCLUSION

Our findings show that UCT programmes have strong mental health benefits for the poor adult population.

Men's age at first birth and alcohol-related morbidity and mortality among siblings

BACKGROUND

Men's age at first birth may negatively or positively affect alcohol-related morbidity and mortality, although little evidence is available.

METHODS

We used register data of over 22,000 brothers to analyze the associations between age at first birth and alcohol-related morbidity and mortality from the age of 35 until the age of 60 or 72. We employed conventional Cox models and inter-sibling models, which allowed adjustment for unobserved social and genetic characteristics shared by brothers.

RESULTS

The findings show that men's age at first birth was inversely associated with alcohol-related morbidity and mortality, independent of unobserved characteristics shared by brothers and of observed demographic confounders. Men who had their first child late at 35-45 years experienced lower alcohol-related morbidity and mortality (hazard ratio (HR) = 0.57, 95 % confidence interval (CI) = 0.43, 0.75) than men who had their first child at 25-29. Men who had their first child before age 20 had the highest morbidity and mortality among all fathers (HR = 1.36, 95 % CI = 1.09, 1.69), followed by men who had their child at 20-24 (HR = 1.12, 95 % CI = 1.00, 1.25).

CONCLUSIONS

The results imply that the inverse association between men's age at first birth and alcohol-related morbidity and mortality is not driven by familial characteristics.

Statistical evidence on the impact of agricultural straw burning on urban air quality in China

Agricultural straw burning is prevalent globally with a long history, but evidence on its pollution and health impact is limited in many countries. This study quantifies the effect of agricultural straw burning on urban air quality in China. Fixed-effects (FE) panel regression models are employed to link straw burning points detected by high-resolution satellites to air quality monitored at 1650 ground-level stations from 2013 to 2015. The method can explain over 80% of the monthly variation in urban air quality during straw burning seasons. The results show that straw burning primarily affects particulate matter, and has negligible effects on other pollutants. Specifically, ten additional burning points in a month in the rural farmland of a city can lead to a 5.19 ± 2.54 µg/m³ (3.67%±1.76%) increase in urban PM₁₀ concentration. The effect is statistically significant for monthly burnings over 20 points. Upwind burnings' effect is 2-4 times larger than that of non-upwind burnings. The contribution from straw burning remains significant for daily and annual PM₁₀ in urban areas. These estimates imply that straw burning should be properly regulated to improve air quality and protect public health in China, and the method and findings have broad implications for other agrarian regions with similar issues.

Health in widowhood: The roles of social capital and economic resources

A sizeable literature has demonstrated strong negative associations between widowhood and health, but longitudinal evidence on moderating factors has been mixed. This study assesses the roles of pre-existing social capital and wealth in moderating changes in health in the event of spousal death. Samples of widowed individuals (n = 796) and matched married controls (n = 8233) are employed from 17 consecutive waves of the Household, Income and Labour Dynamics in Australia Survey (2001-2017). Individual-level fixed-effects models are used to estimate changes in physical and mental health before and after spousal death, in reference to one's own health more than two years before widowhood. Results show a temporary physical health improvement in the year of spousal death, and a decline in mental health beginning up to two years before spousal death, lasting up to two years after spousal death. Using social capital-from children, club membership or volunteering status, and social connections-observed earlier than two years before spousal death, this study finds that widowed individuals with higher social capital show poorer mental health than those with less capital. This negative moderating role is more marked among widowed males than females. In contrast, greater wealth, particularly from non-financial assets, is associated with earlier psychological adjustment among males. For females, mental health in widowhood shows little difference by wealth. These findings suggest that social capital may not be sufficient to protect deteriorations in mental health among widowed individuals, and that the pursuit of alternative avenues may be especially important among the less wealthy.

Family income and self-rated health in Canada: Using fixed effects models to control for unobserved confounders and investigate causal temporality

The objective of this study was to investigate whether the association between family income and adult self-rated health in Canada is causal in nature. The data came from the 2012, 2014 and 2016 waves of the Longitudinal and International Study of Adults linked to current and historical family income data from the Canada Revenue Agency. We used fixed effects models to describe associations between changes in self-rated health between 2012, 2014 and 2016 and changes in equivalized family income between (i) 2011, 2013 and 2015, (ii) 2008, 2009 and 2010, (iii) 2005, 2006 and 2007, (iv) 2002, 2003 and 2004 and (v) 1999, 2000 and 2001. We identified weak negative associations between family income and self-rated health operative over fourteen years or so for both women and men. These associations may be causal in nature. In addition, the implementation of models where changes in income preceded changes in self-rated health suggests that the associations reflect the causal effect of family income on self-rated health rather than the converse. These results make a contribution to the Canadian literature where nearly all previous research on associations between income and self-rated health is cross-sectional in nature and therefore incapable of establishing causal directionality.

The effect of informal caregiving on social capital investments

Social capital is a resource derived from a person's social network and is important for various outcomes. Social capital declines over time and requires investments to avoid further declines or to increase the stock. However, certain life events can negatively affect social capital. This paper analyzes how informal caregiving, defined as unpaid assistance to persons who cannot perform the usual activities of daily living without help, affects social capital investments. Drawing on the German Socio-Economic Panel (GSOEP) with data for 15 years, I apply fixed-effects (FE) regressions to estimate the effect of changing caregiving status (extensive margin) and the effect of an additional hour of caregiving (intensive margin) on social capital investments. The results show that caregiving negatively affects investments in social capital for weak and strong ties unrelated to the care task. Furthermore, caregiving increases investments in strong ties that are care related.

Longitudinal effects of urban green space on walking and cycling: A fixed effects analysis

This study examined whether changes in green space within the living environment were associated with changes in walking and cycling frequencies in a cohort of 3,220 Dutch adults between 2004, 2011 and 2014. Data on self-reported weekly time spent walking and cycling for active commute and leisure were linked to geographic information system (GIS) measures of total green areas within 1000 m buffer zones around each participant's home address, and distance to the nearest green space. First, cross-sectional linear regression models showed no statistically significant associations between green space measures and walking and cycling. Second, fixed effects (FE) models were used to analyze whether changes in green space were associated with changes in walking and cycling, using longitudinal data from respondents who did not relocate over time. As distance to the nearest green area increased by 100 m, individuals spent 22.76 fewer (95% CI: -39.92, -5.60) minutes walking for leisure per week and 3.21 more (95% CI: 0.46, 5.96) minutes walking for active commute. Changes in distance to green space were not significantly related to changes in cycling measures. No clear associations between changes in green areas within 1000 m buffers and changes in walking and cycling were observed. Overall, there was weak evidence of an effect of changes in green space area on changes in walking, and no evidence for cycling.

Family Size and Educational Attainment: Cousins, Contexts, and Compensation

This paper analyses the effect of family size on children's educational attainment using a new research design that combines fixed effects and instrumental variable (IV) approaches. We use (a) data on first cousins who belong to the same extended family but to different nuclear families to control for extended family fixed effects and (b) variation in in-married spouses' number of siblings (a proxy for their fecundity and preferences) as an IV for variation in family size within extended families. We find that family size has a negative causal effect on educational attainment and, moreover, that the negative effect is smaller in families with stronger social ties. Our results suggest that contextual characteristics outside the nuclear family moderate the negative effect of family size on children's educational attainment.