G2TT
来源类型Discussion paper
规范类型论文
来源IDDP17326
DP17326 How to measure parenting styles?
Christopher Rauh; Laetitia Renee
发表日期2022-05-24
出版年2022
语种英语
摘要In this paper, we measure parenting styles through unsupervised machine learning in a panel following children from age 5 to 29 months. The topic model classifies parents into two parenting styles: "warm" and "cold". Parents of the warm type tend to respond to children's expressions in a supportive manner, while parents of the cold type are less likely to engage with their children in an encouraging manner. Warm parenting is more likely amongst educated and older mothers. Although styles reveal some persistence, the share of parents with a warm style decreases with the age of the child, in particular for boys. Children of warm parents achieve higher cognitive and non-cognitive scores at later ages. We find that the topic model estimated on different sample splits, such as by education or child age, reveal additional information while maintaining robust overall patterns.
主题Labour Economics
关键词Parenting style Human capital Inequality Early childhood Machine learning
URLhttps://cepr.org/publications/dp17326
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/546361
推荐引用方式
GB/T 7714
Christopher Rauh,Laetitia Renee. DP17326 How to measure parenting styles?. 2022.
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