Gender, Loneliness and Happiness during COVID-19

in Journal of Behavioral and Experimental Economics (in press)

We analyse a measure of loneliness from a representative sample of German individuals interviewed in both 2017 and at the beginning of the COVID-19 pandemic in 2020. Both men and women felt lonelier ... [more ▼]

We analyse a measure of loneliness from a representative sample of German individuals interviewed in both 2017 and at the beginning of the COVID-19 pandemic in 2020. Both men and women felt lonelier during the COVID-19 pandemic than they did in 2017. The pandemic more than doubled the gender loneliness gap: women were lonelier than men in 2017, and the 2017-2020 rise in loneliness was far larger for women. This rise is mirrored in life-satisfaction scores. Men’s life satisfaction changed only little between 2017 and 2020; yet that of women fell dramatically, and sufficiently so to produce a female penalty in life satisfaction. We estimate that almost all of this female penalty is explained by the disproportionate rise in loneliness for women during the COVID-19 pandemic. [less ▲]

Well-being and working from home during COVID-19

in Information Technology and People (in press)

Purpose – The authors track the well-being of individuals across five European countries during the course of the coronavirus disease 2019 (COVID-19) pandemic and relate their well-being to working from ... [more ▼]

Purpose – The authors track the well-being of individuals across five European countries during the course of the coronavirus disease 2019 (COVID-19) pandemic and relate their well-being to working from home. The authors also consider the role of pandemic-policy stringency in affecting well-being in Europe. Design/methodology/approach – The authors have four waves of novel harmonised longitudinal data in France, Italy, Germany, Spain and Sweden, covering the period May–November 2020. Well-being is measured in five dimensions: life satisfaction, a worthwhile life, loneliness, depression and anxiety. A retrospective diary indicates whether the individual was working in each month since February 2020 and if so whether at home or not at home. Policy stringency is matched in per country at the daily level. The authors consider both cross- section and panel regressions and the mediating and moderating effects of control variables, including household variables and income. Findings – Well-being among workers is lower for those who work from home, and those who are not working have the lowest well-being of all. The panel results are more mitigated, with switching into working at home yielding a small drop in anxiety. The panel and cross-section difference could reflect adaptation or the selection of certain types of individuals into working at home. Policy stringency is always negatively correlated with well-being. The authors find no mediation effects. The well-being penalty from working at home is larger for the older, the better-educated, those with young children and those with more crowded housing. Originality/value – The harmonised cross-country panel data on individuals’ experiences during COVID-19 are novel. The authors relate working from home and policy stringency to multiple well-being measures. The authors emphasise the effect of working from home on not only the level of well-being but also its distribution. [less ▲]

Children’s internalizing behavior development is heterogeneously associated with the pace of epigenetic aging

in Biological Psychology (in press)

Background: Internalizing behaviors are an indicator of children’s psychological and emotional development, predicting future mental disorders. Recent studies have identified associations between DNA ... [more ▼]

Background: Internalizing behaviors are an indicator of children’s psychological and emotional development, predicting future mental disorders. Recent studies have identified associations between DNA methylation (DNAm) and internalizing behaviors. This prospective study aimed at exploring the associations between pace of biological aging and the developmental trajectories of internalizing behaviors. Methods: Participants were children from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort (N=974). Measures of DNA methylation were collected at birth, age 7 and ages 15-17. The pace of aging was estimated using the DunedinPoAm algorithm (PoAm). Internalizing behaviors reported by caregivers between ages 4 and 16 using the Strengths and Difficulties Questionnaire. To explore heterogeneity in the association between PoAm and internalizing behaviors we use Poisson quantile regression in cross-section heterogeneity and longitudinal latent class analysis over the childhood and adolescence. Results: Internalizing behavior trajectories were identified: low-risk, childhood limited, late onset and early onset (persistent). Accelerated aging at birth was negatively associated with internalizing behaviors in early childhood but positively correlated during adolescence. Higher PoAm at birth increased chance of low-risk profile, while decreasing likelihood of childhood limited trajectory. PoAm at age 15 was negatively associated with childhood limited profile and positively linked to late onset trajectories. Associations were larger at higher values of internalizing symptoms. Conclusions: The heterogeneity in the association between biological age acceleration and internalizing behaviors suggests a complex dynamic relationship, particularly in children with high or increased risk of adverse mental health outcomes. [less ▲]

Maternal genetic risk for depression and child human capital

in Journal of Health Economics (2023), 87

We here address the causal relationship between the maternal genetic risk for depression and child human capital using UK birth-cohort data. We find that an increase of one standard deviation (SD) in the ... [more ▼]

We here address the causal relationship between the maternal genetic risk for depression and child human capital using UK birth-cohort data. We find that an increase of one standard deviation (SD) in the maternal polygenic risk score for depression reduces their children’s cognitive and non-cognitive skill scores by 5 to 7% of a SD throughout adolescence. Our results are robust to a battery of sensitivity tests addressing, among others, concerns about pleiotropy and dynastic effects. Our Gelbach decomposition analysis suggests that the strongest mediator is genetic nurture (through maternal depression itself), with genetic inheritance playing only a marginal role. [less ▲]

Pace of aging, family environment and cognitive skills in children and adolescents

in SSM - Population Health (2022)

Pace of aging is an epigenetic clock which captures the speed at which someone is biologically aging compared to the chronological-age peers. We here use data from the Avon Longitudinal Study of Parents ... [more ▼]

Pace of aging is an epigenetic clock which captures the speed at which someone is biologically aging compared to the chronological-age peers. We here use data from the Avon Longitudinal Study of Parents and Children (ALSPAC) to investigate the interrelation between the study children’s parental social class at birth, and their pace of aging and cognitive skills measures in childhood and adolescence. We show that children from lower parental social classes display faster pace of aging and that the social class gradient in pace of aging is strongest in adolescence. About one third of this association can be explained by other socio-economic and demographic covariates, as well as life events. Similarly, study children’s pace of aging manifests a negative association with their measures of cognitive skills in late adolescence only. This association becomes stronger as the contemporary pace of aging of the mother becomes faster. Our results seem to identify adolescence as the period of life when pace of aging, family environment and cognitive skills measures begin to interact. [less ▲]

Distance-based social index numbers: a unifying approach

in Journal of Mathematical Economics (2022)

We present a unified approach to the design of social index numbers. Our starting point is a model that employs an exogenously given partition of the population into subgroups. Three classes of group ... [more ▼]

We present a unified approach to the design of social index numbers. Our starting point is a model that employs an exogenously given partition of the population into subgroups. Three classes of group-dependent measures of deprivation are characterized. The three groups are nested and, beginning with the largest of these, we narrow them down by successively adding two additional axioms. This leads to a parameterized class the members of which are based on the differences between the income (or wealth) levels of an individual and those who are better off. We then proceed to show that our measures are sufficiently general to accommodate a plethora of indices, including measures of inequality and polarization as well as distance-based measures of phenomena such as diversity and fractionalization. [less ▲]

The impact of COVID-19 lockdown stringency on loneliness in five European countries

in Social Science and Medicine (2022)

Rationale: The coronavirus pandemic has forced governments to implement a variety of different dynamic lockdown-stringency strategies in the last two years. Extensive lockdown periods could have potential ... [more ▼]

Rationale: The coronavirus pandemic has forced governments to implement a variety of different dynamic lockdown-stringency strategies in the last two years. Extensive lockdown periods could have potential unintended consequences on mental health, at least for at-risk groups. Objective: We present novel evidence on the heterogeneous direct and indirect effects of lockdown-stringency measures on individuals’ perception of social isolation (i.e. loneliness) using panel data from five European countries (Germany, France, Spain, Italy and Sweden), which tracks changes in both in-person and remote social interactions between May 2020 and March 2021. Method: We combine data from the COME-HERE panel survey (University of Luxembourg) and the Oxford COVID-19 Government Response Tracker (OxCGRT). We implement a dynamic mixture model in order to estimate the loneliness sub-population classes based on the severity of loneliness, as well as the evolution of social interactions. Results: While loneliness is remarkably persistent over time, we find substantial heterogeneity across individuals, identifying four latent groups by loneliness severity. Group membership probability varies with age, gender, education and cohabitation status. Moreover, we note significant differences in the impact of social interactions on loneliness by degree of severity. Older people are less likely to feel lonely, but were more affected by lockdown measures, partly due to a reduction in face-to-face interactions. On the contrary, the younger, especially those living alone, report high levels of loneliness that are largely unaffected by changes in the pandemic after lockdown measures were initially implemented. Conclusions: Understanding the heterogeneity in loneliness is key for the identification of at-risk populations that can be severely affected by extended lockdown measures. As part of public-health crisis-response systems, it is critical to develop support measures for older individuals living alone, as well as promoting continuous remote communication for individuals more likely to experience high levels of loneliness. [less ▲]

The distributive impact of the Luxembourg tax-benefit system: a more comprehensive measurement

in Public Finance Review (2022), 50

This article studies the distribution of income in Luxembourg by integrating two aspects that have been previously neglected: indirect taxation and in-kind transfers. The integration of the latter is ... [more ▼]

This article studies the distribution of income in Luxembourg by integrating two aspects that have been previously neglected: indirect taxation and in-kind transfers. The integration of the latter is essential in Luxembourg, the country with the highest public expenditure per capita in the OECD. These issues have been understudied because of some methodological challenges, including the lack of data containing all the necessary information for this type of analysis. However, with the EUROMOD microsimulation model, different data sources, and imputation methods, we are able to obtain a more complete view of the income distribution in Luxembourg. We find that, as in many developed countries, indirect taxes are regressive. On the other hand, in-kind transfers play an important role in reducing income inequality, in particular through education and health services. [less ▲]

Social Protection and Multidimensional Poverty: Lessons from Ethiopia, India and Peru

in World Development: the Multi-Disciplinary International Journal Devoted to the Study and Promotion of World Development (2021), 147

We investigate the impact of three large-scale social-protection schemes in Ethiopia, India, and Peru on multidimensional poverty. Using data from the Young Lives cohort study, we show the trend, changes ... [more ▼]

We investigate the impact of three large-scale social-protection schemes in Ethiopia, India, and Peru on multidimensional poverty. Using data from the Young Lives cohort study, we show the trend, changes and evolution of multidimensional poverty for individuals in program participant households. We follow a number of strategies to produce estimates that deal with non-random program placement. Our findings show that both the incidence and intensity of multidimensional poverty declined in all three countries over the period 2006 - 2016, more so for program participants than non-participants. We find positive short-term impact on asset formation, livestock holding, and some living standard indicators. In all three countries these positive impacts are sustained even in the medium and longer-term. [less ▲]

Predicting Vulnerability to Poverty with Machine Learning

Poster (2021, May 21)