Expanding notions of social reproduction: Grandparents’ educational attainment and grandchildren's cognitive skills
Research highlights
▶ Young children with college-educated grandparents have stronger literacy and math skills at the start of school than children with grandparents with less education, even after controlling for parent education and other demographic factors.
Section snippets
Background
We situate this study within both micro- and macro-level conceptualizations of child development. At the micro level, our analyses are informed by developmental ecological theory, which recognizes that cognitive development flows from multiple sources related to children's environments (see Bronfenbrenner, 1979, Bronfenbrenner and Morris, 1998). The social, economic, and physical contexts in which young children's lives are enmeshed form an ecology of interconnected factors that support their
Social reproduction
Inherited privilege and status remain powerful factors in the distribution of opportunity in American life. Indeed, one of the least disputed findings within the social science literature is that parents pass on a portion of their socioeconomic advantage (or disadvantage) to their children (see Brooks-Gunn and Duncan, 1997, Jencks et al., 1972, Mayer, 1997). The topic has occupied social scientists for nearly a century. Two of the earliest studies in this arena, Lynd and Lynd's (1929) Middletown
Three generations: considering the role of grandparents
Systematic research on grandparenthood began during the latter half of the twentieth century; previously, studies were based on anecdotal evidence that portrayed grandparents as a disturbance to the normal functioning of the nuclear family (Tomlin, 1998). As recently as the 1980s, studies essentially ignored the influence of grandparents on grandchildren, arguing that the real forces of socialization operated only through parents (Szinovacz, 1998). A developing literature, however, is examining
Challenges of estimating grandparent effects
In addition to OLS regression techniques, this study also employs propensity score matching, which addresses concerns regarding the endogeneity inherent in our research questions. Although randomization arguably produces the most robust treatment estimates, psychologists and social scientists often investigate topics that for temporal, logistical, and/or ethical reasons do not lend themselves well to random assignment. This is certainly the case in the context of our current study, as
Research focus
The importance of parental social class to child outcomes is well documented. More recently, however, researchers have begun to expand their scope beyond two generations to investigate the direct and indirect role grandparents play in their grandchildren's social and academic development. Clearly, grandparent influences are important to consider for both their micro-level effects on children's cognitive growth and their macro-level implications for socioeconomic reproduction. As more children
Data
This study employed data from the Early Childhood Longitudinal Study, Kindergarten Cohort (ECLS-K), sponsored by the National Center of Education Statistics (National Center for Educational Statistics, 2004b). The ECLS-K collection of base-year (1998) data followed a stratified random design structure. The primary sampling units were geographic areas consisting of counties or groups of counties from which about 1000 public and private schools offering kindergarten programs were selected. A
Descriptive results
Table 2 presents information on children's cognitive and socio-demographic backgrounds organized by their grandparents’ educational attainment. These descriptive results address the first of our three research questions. A strong linear relationship is evident between children's cognitive skills and their grandparents’ level of education. A roughly one-third standard deviation gap in initial mathematics and literacy skills separates children with college-educated grandparents from those whose
Analytic results
The previous section presented descriptive analyses exploring the associations between grandparents’ education and their grandchildren's cognitive profiles and socio-demographic backgrounds. The aim here is to investigate these complex and interrelated associations within a multivariate framework that identifies the unique links between grandparent educational attainment and their grandchildren's cognitive outcomes. Table 3, Table 4 present multivariate regression models predicting young
Regression-adjusted propensity matched estimates
We began this stage of the analyses by constructing a sample containing comparable treatment and control groups. Table 5, which displays the results for the probit estimation, indicates that parents’ high school educational background and welfare receipt were strong predictors of grandparent educational attainment. The next step in the propensity analysis required matching the treated and control groups. Each individual child in the treatment group was paired with a child in the control group
Discussion
The intergenerational crystallization of socioeconomic advantage has generated vigorous debate among social scientists, policymakers, and the public. Our current study confirms that historical disadvantages in educational attainment represent an additional source of variability in child outcomes. Across multiple cognitive and socio-demographic dimensions, children with more-educated grandparents differ systematically from those with less-educated grandparents. Indeed, our study suggests
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2020, European Economic ReviewCitation Excerpt :As an example, scholars (e.g., Braun and Stuhler, 2018; Neidhöfer and Stockhausen, 2018) have examined whether the grandparent-to-offspring association remains after interacting the grandparents’ socio-economic status with a dummy variable controlling for whether the grandparents were still alive at the date of birth of the grandchild. Other studies instead exploit information on whether grandparents were co-resident with the offspring and parents during the childhood of the former (e.g., Ferguson and Ready, 2011; Kroeger and Thompson, 2016; Zeng and Xie, 2014). Overall, while Zeng and Xie (2014) find that the “[...] causal processes of intergenerational influence occur primarily inside households through daily interaction” (Zeng and Xie, 2014, p. 614), other research testing such a contact-based mechanism of transmission is usually not supportive of a direct grandparental effect (e.g., Ferguson and Ready, 2011; Braun and Stuhler, 2018).
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2020, Research in Social Stratification and MobilityCitation Excerpt :Since then, research on multigenerational social mobility has exploded, culminating in recent analyses in a special issue on “Inequality Across Multiple Generations” in Research in Social Stratification and Mobility (Pfeffer, 2014), major review pieces on grandparent effects in Sociological Science (Anderson, Sheppard, & Monden, 2018) and The Economic Journal (Solon, 2018), and high-profile research in the top sociology and demography journals in the U.S. and Europe (Andrade & Thomsen, 2018; Belsky et al., 2018; Braun & Stuhler, 2018; Erola, Kilpi-Jakonen, Prix, & Lehti, 2018; Pfeffer & Killewald, 2018; Sheppard & Monden, 2018). Researchers continue to build a robust literature on multigenerational mobility using data from a variety of countries – Australia (Hancock, Mitrou, Povey, Campbell, & Zubrick, 2016), Chile (Celhay & Gallegos, 2015), China (Zeng & Xie, 2014), Denmark (Møllegaard & Jæger, 2015), Finland (Lehti, Erola, & Tanskanen, 2018), Germany (Hertel & Groh-Samberg, 2014), Mexico (Arenas, 2017), the Netherlands (Bol & Kalmijn, 2016), Sweden (Hällsten, 2014; Modin, Erikson, & Vågerö, 2013), Taiwan (Chiang & Park, 2015), the United Kingdom (Chan & Boliver, 2013), and the United States (Ferguson & Ready, 2011; Hertel & Groh-Samberg, 2014; Jæger, 2012; Wightman & Danziger, 2014) – and data types – from historical and genealogical records (Clark, 2014; Knigge, 2016; Piraino, Muller, Cilliers, & Fourie, 2014; Song & Campbell, 2017) to multi-wave longitudinal surveys and register data (Ferrie, Massey, & Rothbaum, 2016; Hällsten & Pfeffer, 2017; Kolk, 2014; Park & Kuentae, 2019; Pfeffer & Killewald, 2018). The massive variation in time, contexts, data quality, and analysis choices throughout the literature, along with researchers’ inability to test all mechanisms simultaneously in any given dataset, arguably provides a fragmented view of both the existence of multigenerational effects at all and the causal pathways of these effects.
Family fortunes: The persisting grandparents' effects in contemporary British society
2019, Social Science ResearchCitation Excerpt :Grandparents may also affect grandchildren in less direct ways. For example, grandchildren may benefit from a secure and stable environment, such as living in a catchment area with good schools, which grandparents contribute financially to securing (Ferguson and Ready, 2011; Hagestad, 2006). One of the most important ways in which grandparents affect grandchildren's attainment is through transferring their knowledge, attitudes, values and family ‘ethos’ accruing from their socio-economic positions and life-long experiences (Portes et al., 2009).
The effect of grandparents' economic, cultural, and social capital on grandchildren's educational success
2015, Research in Social Stratification and MobilityFamily background as a predictor of reading comprehension performance: An examination of the contributions of human, financial, and social capital
2014, Learning and Individual DifferencesThe Child and Adult Care Food Program and the nutrition of preschoolers
2013, Early Childhood Research QuarterlyCitation Excerpt :In addition, the longitudinal nature of the data allowed us to include children's prior outcomes (food consumption, BMI, and food insecurity) as covariates, which is a powerful method for addressing the non-random selection associated with CACFP participation (NICHD Early Child Care Research Network & Duncan, 2003). Analytically, we addressed the issue of selection on observed characteristics (including prior outcomes) by using propensity-score-weighted regression, an approach that is becoming more widely used in non-experimental evaluation (see Imbens & Wooldridge, 2009 for a detailed review of recent developments in techniques for program evaluation; Williamson, Morley, Lucas, & Carpenter, 2012 for an excellent non-technical discussion of propensity score methods; and Ferguson & Ready, 2011, and Ryan, Johnson, Rigby, & Brooks-Gunn, 2011 for recent applications in early childhood research). Propensity-score-weighted regression has several advantages over standard multiple regression for program evaluation foremost of which is better “matching” (i.e., balance of covariates) between the children who did and did not participate in CACFP.
- 1
The authors are listed alphabetically and each contributed equally to this work.
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Jason Ferguson's efforts were supported in part by a Graduate Research Fellowship from the National Science Foundation.