Laidley Thomas, Conley Dalton
New York University.
Princeton University.
Soc Forces. 2018 Sep;97(1):129-156. doi: 10.1093/sf/soy020. Epub 2018 Apr 4.
Leisure time activity is often positioned as a key factor in child development, yet we know relatively little about the causal significance of various specific activities or the magnitude of their effects. Here, we couple individual fixed effects and instrumental variable approaches in trying to determine whether specific forms of leisure contribute to gains in test performance over time. We merge a restricted access version of the Panel Study of Income Dynamics (PSID) Child Development Supplement (CDS), longitudinally collected from 1997 to 2007, with a database of over three million county-day observations of sunlight. We use this proxy for weather to instrument for the variation in physical, outdoor, sedentary, and screen time behaviors based on CDS time diaries. We find evidence that physical and outdoor activity positively influence math performance, while sedentary behavior and screen time exhibit the opposite effect. Moreover, the effect sizes range from a quarter to three quarters of a standard deviation per additional daily hour of activity, rendering them meaningful in a real world sense. Our stratified results indicate that children from less educated mothers and girls seem to be most sensitive to the effects of active and passive forms of leisure. We conclude with a descriptive examination of the trend lines between our data and the new 2014 CDS cohort, providing relevant contemporary context for our findings.
休闲活动通常被视为儿童发展的关键因素,但我们对各种具体活动的因果重要性及其影响程度了解相对较少。在此,我们结合个体固定效应和工具变量方法,试图确定特定形式的休闲活动是否会随着时间的推移对测试成绩的提高有所贡献。我们将1997年至2007年纵向收集的收入动态面板研究(PSID)儿童发展补充调查(CDS)的受限访问版本与一个包含超过三百万个县日阳光观测数据的数据库进行合并。我们使用这个天气代理变量,根据CDS时间日记来衡量身体活动、户外活动、久坐行为和屏幕时间行为的变化。我们发现,身体活动和户外活动对数学成绩有积极影响,而久坐行为和屏幕时间则呈现相反的效果。此外,每增加一小时的日常活动,效应大小在四分之一到四分之三个标准差之间,从现实意义来看这些效应是有意义的。我们的分层结果表明,母亲受教育程度较低的孩子和女孩似乎对主动和被动形式的休闲活动的影响最为敏感。我们最后对数据与2014年新的CDS队列之间的趋势线进行了描述性检验,为我们的研究结果提供了相关的当代背景。