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Social Indicators Research

Erschienen in:

01.05.2014

Parents Transmit Happiness Along with Associated Values and Behaviors to Their Children: A Lifelong Happiness Dividend?

verfasst von: Bruce Headey, Ruud Muffels, Gert G. Wagner

Erschienen in: Social Indicators Research | Ausgabe 3/2014

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Abstract

There are strong two-way links between parent and child happiness (life satisfaction), even for ‘children’ who have grown up, moved to their own home and partnered themselves. German panel evidence shows that transmission of (un)happiness from parents to children is partly due to transmission of values and behaviors known to be associated with happiness (Headey et al. in Proc Natl Acad Sci 107(42):17922–17926, 2010, in Soc Indic Res doi:10.1007/s11205-012-0079-8,2012). These values and behaviors include giving priority to pro-social and family values, rather than material values, maintaining a preferred balance between work and leisure, active social and community participation, and regular exercise. Both parents have about equal influence on the values and behaviors which children adopt. However, the life satisfaction of adult ‘children’ continues to be directly influenced by the life satisfaction of their mothers, with the influence of fathers being only indirect, via transmission of values and behaviors. There appears to be a lifelong happiness dividend (or unhappiness dividend) due to parenting. Structural equation models with two-way causation indicate that the life satisfaction of offspring can significantly affect the satisfaction of their parents, as well as vice versa, long after the ‘children’ have left home. Data come from 25 waves of the German Socio-Economic Panel Survey (SOEP 1984–2008). SOEP is the only panel survey worldwide in which data on life satisfaction have been obtained from parents and an adequate sub-sample of children no longer living in the parental home.

Vorheriger Artikel Prince George is Not (and never was) Canada’s Most Dangerous City: Using Police-Recorded Data for Comparison of Volume and Seriousness of Crimes

Nächster Artikel The Impact of Social and Economic Indicators on Maternal and Child Health

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It is also more common for women to be the immediate instigators of marital break-up than men (Headey et al. 2005).

Only 64 daughters and 35 sons, who had been raised by single mothers for five or more years during their childhood and adolescence, were now living separately from their parents, and had provided necessary data on life satisfaction, traits, values and behaviors.

Lucas (2008) notes that some studies report modest correlations between happiness and traits A and C. Trait O is usually found to be unrelated to happiness.

Ten items were included in 1990, 1992 and 1995 and then nine in 2004 and 2008. The item dropped in 2004 and 2008 related to the importance of having a wide circle of friends, which loaded on the pro-social factor.

The correlations have varied from year to year but are usually around 0.3.

Mean values are imputed for the nearest two adjacent years in which the questions were asked.

By definition, no bias occurs if cases are missing completely at random (MCAR). However, it is more usual for cases to be missing at random (MAR); that is, missingness can be associated with particular values of variables. For example, it is known that very high and very low income earners are less likely than others to answer income questions. If data are MAR, it appears preferable to impute rather than use the standard computing option of ‘listwise deletion’, which removes any case missing for any single variable in the model.

Regression analysis is essentially a single equation technique. Regression estimates derived from multi-equation systems are likely to be biased, due to correlations between explanatory variables and error terms in some or all equations. A key assumption of OLS regression is that such correlations are zero.

ML estimates are usually consistent and asymptotically normal under the (not very restrictive) assumption of conditional normality (STATA 2011). Only paths or covariances linking conditioning (i.e. control) variables may not be consistent and asymptotically normal (even then, the main problem lies just with estimates of standard errors). These paths are not usually of substantive interest; substantive interest lies in paths (1) linking exogenous with endogenous variables and (2) between endogenous variables.

From a mathematical standpoint, a model can be viewed as a set of constraints—or a set of restricted paths—limiting the possibilities of simply reproducing the input data. Attempts by a researcher to improve his/her model involve modifying these constraints to improve model fit, subject to the theory/hypotheses underlying the model.

The standardized root mean squared residual (SRMR) is also based on comparing coefficients in the input and output matrices. However it is not applicable when missing data have been imputed, as is the case in this article.

Sample numbers of ‘children’ living apart from their parents are barely adequate for longitudinal analysis of changes in life satisfaction. This is particularly the case for dyad analysis and analysis involving two-way causation.

Specifically, we estimates covariances between (1) the error terms of neuroticism and extroversion (2) the error terms of the 3 measures of values (3) the error terms of the 3 measures of behavioral choices and (4) the error terms of the life satisfaction measures for parents and ‘children’.

If they are not included, model fit is always extremely poor, because covariances that are present in the input data are only partially accounted for by the causal (structural) links in the model.

Socio-economic variables relating to parents are included in the equations where a parent measure is the dependent variable. Socio-economic variables for ‘children’ are included in equations where the dependent variable is a ‘child’ measure.

It is also common to include variables for age-squared and age-cubed, if one’s research involves ‘following’ respondents into and out of middle age. In our equations only the age variable itself was found to be statistically significant; the reason being that we only ‘follow’ respondents for a few years after ‘children’ have left the parental home. In early analyses we also included a variable measuring ‘years since left the parental home’. This proved not to be statistically significant and was dropped.

These results are for 2006, when respondents were asked questions about where (how far away) their parents lived.

The Pearson correlations are: father’s neuroticism = −0.15, fathers’ extroversion = 0.03, fathers’ household net income = 0.12, father unemployed = −0.08 and father in ‘bad health’ = −0.08.

The correlation between daughter and father life satisfaction now (for daughters who left home more than 5 years ago) is 0.24, whereas the correlation between daughter life satisfaction now and father satisfaction 10 years ago is 0.13. The parallel correlations for daughters and mothers are, respectively, 0.24 and 0.15. Differences between both these pairs of correlations are significant at the 0.001 level.

The correlation between son and father life satisfaction now is 0.15, compared with 0.16 for son now and father 10 years ago. The parallel correlations for sons and mothers are 0.22 and 0.20. Differences between these pairs of correlations are not significant even at the 0.05 level.

Results for the full model are available as computer print-out from the authors.

In the final models (Figs. 5, 6) parent traits, values and behaviors (but not life satisfaction) were treated as correlated exogenous variables, rather than as endogenous. This could be done without losing estimates of substantive interest, and had the benefit of improving the fit of final models.

The total effect appears not to exactly equal the sum of direct and indirect effects only due to rounding.

The total effect appears not to equal the sum of direct and indirect effects only due to rounding.

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Titel: Parents Transmit Happiness Along with Associated Values and Behaviors to Their Children: A Lifelong Happiness Dividend?
verfasst von: Bruce Headey
Ruud Muffels
Gert G. Wagner
Publikationsdatum: 01.05.2014
Verlag: Springer Netherlands
Erschienen in: Social Indicators Research / Ausgabe 3/2014
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI: https://doi.org/10.1007/s11205-013-0326-7

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