Est modus in rebus: a longitudinal study of intergenerational solidarity and Locus of Control

2014 ◽  
Vol 35 (6) ◽  
pp. 1242-1277 ◽  
Author(s):  
VALERIA BORDONE

ABSTRACTThis study challenges the persistent assumption behind research on intergenerational relationships, wondering: ‘can there be too much of a good thing’? The guiding hypothesis states that intergenerational solidarity, although beneficial for older parents' wellbeing at moderate levels, may be negatively associated with their individual sense of control at high levels. In contrast to previous studies, fixed-effects regression models on panel data from the English Longitudinal Study of Ageing control for selection in solidarity and changes in health. The analysis of 4,811 women and 3,847 men above the age of 50 also accounts for intergenerational conflict. Using multiple dimensions of intergenerational solidarity, our findings offer insight into the different roles of the various types of solidarity and can aid the design of formal and informal social support interventions.

2019 ◽  
Vol 7 (1) ◽  
pp. 1-60 ◽  
Author(s):  
Viola Angelini ◽  
Michael Daly ◽  
Mirko Moro ◽  
Maria Navarro Paniagua ◽  
Elanor Sidman ◽  
...  

BackgroundThe Winter Fuel Payment (WFP) is a non-NHS population-level policy intervention that aims to reduce cold exposure and enhance the health and well-being of older adults. Labelling this cash transfer as ‘winter fuel’ has been shown to lead to increased household energy expenditure, but it is not known if this expenditure produces warmer homes or health benefits.ObjectivesFirst, the association between indoor temperature and health was established to identify the outcome measures most likely to be affected by the WFP. Then, whether or not receiving the WFP is associated with raised household temperature levels and/or improved health was assessed.DesignRandom and fixed effects regression models were used to estimate the link between ambient indoor temperature and health. A regression discontinuity (RD) design analysis exploiting the sharp eligibility criteria for the WFP was employed to estimate the potential impact of the payment.SettingThe sample was drawn from the English Longitudinal Study of Ageing (ELSA), an observational study of community-dwelling individuals aged ≥ 50 years in England.ParticipantsAnalyses examining the association between household temperature and health had a maximum sample of 12,210 adults aged 50–90 years. The RD analyses drew on a maximum of 5902 observations.InterventionThe WFP provides households with a member who is aged > 60 years (up to 2010, from which point the minimum age increased) in the qualifying week with a lump sum annual payment, typically in November or December.Main outcome measuresDifferences in indoor temperature were examined, and, following an extensive literature review of relevant participant-reported health indicators and objectively recorded biomarkers likely to be affected by indoor temperature, a series of key measures were selected: blood pressure, inflammation, lung function, the presence of chest infections, subjective health and depressive symptom ratings.Data sourcesThe first six waves of the ELSA were drawn from, accessible through the UK Data Service (SN:5050 English Longitudinal Study of Ageing: Waves 0–7, 1998–2015).ResultsResults from both random and fixed-effects multilevel regression models showed that low levels of indoor temperature were associated with raised systolic and diastolic blood pressure levels and raised fibrinogen levels. However, across the RD models, no evidence was found that the WFP was consistently associated with differences in either household temperature or the health of qualifying (vs. non-qualifying) households.LimitationsThe presence of small effects cannot be ruled out, not detectable because of the sample size in the current study.ConclusionsThis study capitalised on the sharp assignment rules regarding WFP eligibility to estimate the potential effect of the WFP on household temperature and health in a national sample of English adults. The RD design employed did not identify evidence linking the WFP to warmer homes or potential health and well-being effects.Future workFurther research should utilise larger samples of participants close to the WFP eligibility cut-off point examined during particularly cold weather in order to identify whether or not the WFP is linked to health benefits not detected in the current study, which may have implications for population health and the evaluation of the effectiveness of the WFP.FundingThe National Institute for Health Research Public Health Research programme.


2021 ◽  
Author(s):  
Michael Daly ◽  
Eric Robinson

BackgroundIn late 2020 a second wave of COVID-19 infections occurred in many countries and resulted in a national lockdown in the UK including stay at home orders and school closures. This study aimed to compare the prevalence of psychological distress before and during the second COVID-19 wave in the UK. MethodsThis study drew on data from 10,657 participants from the nationally representative probability-based UK Household Longitudinal Study (UKHLS). The 12-item General Health Questionnaire (GHQ-12) assessment measure was used to detect the proportion of UK adults experiencing clinically significant psychological distress. Changes in distress levels associated with the second pandemic wave were examined between September 2020 and January 2021 using logistic regression and linear fixed-effects regression models. ResultsLongitudinal analyses showed that the prevalence of clinically significant distress rose by 5.8% (95% CI:4.4-7.2) from 21.3% in September 2020 to 27.1% in January 2021, compared with a 2019 pre-pandemic estimate of 21% in this cohort. Fixed effects analyses confirmed that the second COVID-19 wave was associated with a significant within-person increase in distress (d =0.15, p<.001). Increases were particularly pronounced among those with school-age children in the home. LimitationsA non-specific measure of mental health symptoms was utilized and it was not possible to separate the potential impact of the pandemic from other changes occurring in tandem within the study period. ConclusionClinically significant distress rose during the second wave of the COVID-19 pandemic and reached levels similar to those observed in the immediate aftermath of the first pandemic wave.


2020 ◽  
pp. 004912412091493
Author(s):  
Marco Giesselmann ◽  
Alexander W. Schmidt-Catran

An interaction in a fixed effects (FE) regression is usually specified by demeaning the product term. However, algebraic transformations reveal that this strategy does not yield a within-unit estimator. Instead, the standard FE interaction estimator reflects unit-level differences of the interacted variables. This property allows interactions of a time-constant variable and a time-varying variable in FE to be estimated but may yield unwanted results if both variables vary within units. In such cases, Monte Carlo experiments confirm that the standard FE estimator of x ⋅ z is biased if x is correlated with an unobserved unit-specific moderator of z (or vice versa). A within estimator of an interaction can be obtained by first demeaning each variable and then demeaning their product. This “double-demeaned” estimator is not subject to bias caused by unobserved effect heterogeneity. It is, however, less efficient than standard FE and only works with T > 2.


2016 ◽  
Vol 1 ◽  
pp. 29 ◽  
Author(s):  
Olga Scrivner ◽  
Manuel Díaz-Campos

In recent years there has been growing interest in quantitative methods for analyzing linguistic data.  Advanced multifactorial statistical analyses, such as inferential trees and mixed-effects logistic regression models, have become more accessible for linguistic research as a result of the availability of an open source programming environment provided by the statistical software R. In the present paper, we introduce a novel toolkit, Language Variation Suite, a software program that offers a friendly environment for conducting quantitative analyses. We demonstrate how theory built on traditional monofactorial analysis can be extended to macro and micro multifactorial approaches allowing for a deeper understanding of language variation. The focus of the analysis is based on intervocalic /d/ deletion in Spanish from the Diachronic Study of the Speech of Caracas 1987 and 2004-2010. In contrast to traditional methodological approaches we have treated intervocalic /d/ as a continuous dependent variable according to the intensity ratio measurements obtained. Furthermore, we have integrated various syntactic, phonetic and sociolinguistic factors. Non-parametric and fixed-effects regression models revealed that overall age (younger speakers), sex (male speakers), phonetic context (low vowels), token frequency and morphosyntactic category (past participles) have a significant effect on the lenition of intervocalic /d/. In contrast, the mixed-effects model selected only phonetic context, frequency and category, showing that individual speaker variation is higher than group variation.


2020 ◽  
pp. 1-11 ◽  
Author(s):  
Kosuke Imai ◽  
In Song Kim

Abstract The two-way linear fixed effects regression (2FE) has become a default method for estimating causal effects from panel data. Many applied researchers use the 2FE estimator to adjust for unobserved unit-specific and time-specific confounders at the same time. Unfortunately, we demonstrate that the ability of the 2FE model to simultaneously adjust for these two types of unobserved confounders critically relies upon the assumption of linear additive effects. Another common justification for the use of the 2FE estimator is based on its equivalence to the difference-in-differences estimator under the simplest setting with two groups and two time periods. We show that this equivalence does not hold under more general settings commonly encountered in applied research. Instead, we prove that the multi-period difference-in-differences estimator is equivalent to the weighted 2FE estimator with some observations having negative weights. These analytical results imply that in contrast to the popular belief, the 2FE estimator does not represent a design-based, nonparametric estimation strategy for causal inference. Instead, its validity fundamentally rests on the modeling assumptions.


2007 ◽  
Vol 38 (3) ◽  
pp. 433-439 ◽  
Author(s):  
J. M. Boden ◽  
D. M. Fergusson ◽  
L. J. Horwood

BackgroundThis study examined the associations between cigarette smoking and suicidal ideation and suicide attempts, both before and after control for potentially confounding using fixed effects regression models.MethodData were gathered during the Christchurch Health and Development Study, a 25-year longitudinal study of a birth cohort of New Zealand children (635 males, 630 females). The analysis was based on a sample of 1041 participants with available data on cigarette smoking and suicidal behaviour from ages 16 to 25 years. The main outcome measures were suicidal ideation and suicide attempts, ages 16–18, 18–21, and 21–25.ResultsThere were significant bivariate associations between the frequency of cigarette smoking and both suicidal ideation and suicide attempts. Cohort members who smoked 20 or more cigarettes per day had odds of suicidal ideation that were 3.39 times (95% CI 2.06–5.59) those of non-smokers, and odds of suicide attempt that were 4.39 (95% CI 2.18–8.85) times those of non-smokers. Control for non-observed fixed confounding factors reduced the association between cigarette smoking and suicidal ideation and suicide attempts to statistical non-significance. After adjustment, those smoking more than 20 cigarettes per day had odds of suicidal ideation that were 1.00 times (95% CI 0.46–2.18) those of non-smokers, and odds of suicide attempt that were 1.84 (95% CI 0.81–4.18) times those of non-smokers.ConclusionsThe findings suggest that the associations between frequency of cigarette smoking and suicidal behaviour may largely be explained by the non-observed background factors and life circumstances that are associated with both cigarette smoking and suicidal behaviour.


2011 ◽  
Vol 23 (2) ◽  
pp. 173-195
Author(s):  
Sebastian Schnettler ◽  
Anja Steinbach

Consistent with inclusive fitness theory, evolutionary biologists predict that individuals care more for their biological than their social children and hence that biological children assess the relationships to their parents better than stepchildren. To test this assumption, we use data from the U.S. National Longitudinal Study of Adolescent Health (Add Health). Unlike many other studies that have been conducted so far, this survey allows us to analyze the consequences of the dynamic between social and biological parent-child relationships within the same families. We use comparisons of sibling pairs and fixed-effects regression to achieve the within-family comparison. Both the descriptive and multivariate regression results confirm that – even after controlling for other relevant influences – biological parenthood matters with regard to children’s relationship assessments (perceived parental care and closeness of the parent-child relationship) and in both the relationships to resident fathers and mothers. In the discussion, we comment on the possible integration of the evolutionary and sociological perspectives and close with some recommendations for future data collection that could allow researchers to analyze the relative impact of biological and social influences on parent-child relationships on a more fine-grained level. Zusammenfassung Abgeleitet aus der Theorie der Verwandtenselektion sagen Evolutionsbiologen vorher, dass Individuen gegenüber ihren biologischen Kindern mehr Fürsorge zeigen sollten als gegenüber Kindern, zu denen eine soziale Elternschaft besteht. Entsprechend wird erwartet, dass biologische Kinder die Beziehungen zu ihren Eltern besser einschätzen als Stiefkinder. Zur Überprüfung dieser Hypothese ziehen wir die Daten der U.S. National Longitudinal Study of Adolescent Health (Add Health) heran. Diese Studie erlaubt es, im Gegensatz zu vielen anderen Datenquellen, die Konsequenzen der innerfamilialen Dynamik sozialer und biologischer Eltern-Kind-Beziehungen zu untersuchen. Um diesen Vergleich innerhalb der Familien zu ermöglichen, untersuchen wir Geschwisterdyaden und führen eine fixed-effects-Regression durch. Die Resultate der deskriptiven und der multivariaten Analysen bestätigen, dass der Status biologischer Elternschaft auch dann die Beziehungs-einschätzungen der Jugendlichen (wahrgenommene elterliche Fürsorge und emotionale Nähe) vorhersagt, wenn für andere relevante Einflussfaktoren kontrolliert wird – sowohl in Bezug auf die väterliche als auch auf die mütterliche Beziehung. In der Diskussion kommentieren wir das Ergebnis im Hinblick auf eine mögliche Integration evolutionsbiologischer und soziologischer Forschungsperspektiven und schließen mit einigen Empfehlungen für die zukünftige empirische Datenerhebung ab. Eine Umsetzung dieser Empfehlungen könnte es interessierten Forscherinnen und Forschern in Zukunft ermöglichen, die relative Bedeutung biologischer und sozialer Einflüsse auf die Eltern detaillierter zu untersuchen.


2019 ◽  
Author(s):  
Diederik Boertien ◽  
Philipp M. Lersch

Objective: To document gender differences in how economic wealth changes following the dissolution of marriage and cohabitation in Germany.Background: Wealth can be an important resource to deal with the adverse economic consequences of union dissolution. Marital property regimes usually ensure that both partners receive a share of the couples’ wealth following a divorce. The dissolution of cohabiting unions is not governed by such rules in most countries, including Germany, which may lead to a more unequal division of wealth following the dissolution of cohabitation as compared to marriage.Method: The analysis consists of multivariable fixed-effects regression models based on longitudinal data from the German Socio-Economic Panel (N = 6,388 individuals) for the years 2002 to 2017.Results: Changes in wealth are relatively similar for men and women after the dissolution of marriage. The dissolution of cohabiting unions is related to losses in wealth for women, but not for men. Controlling for post-dissolution processes, gender inequality increases after the dissolution of cohabitations.Conclusion: Union dissolution is associated with wealth losses. The legal protection of the economically weaker spouse in marriage prevents gender inequality in these wealth losses. Lacking such legal protection, cohabitation is associated with gender inequality in the consequences of dissolution.


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