Adjust for non-ignorable panel attrition in the analysis of leaving the parental home

IF 3.4 2区社会学 Q1 Medicine

Advances in Life Course Research Pub Date : 2024-03-04 DOI:10.1016/j.alcr.2024.100605

Yusi Luo , Jamil Nur , Ying Jin

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引用次数: 0

Abstract

Leaving the parental home is an important life event that has received significant attention in the literature. Research on this topic relies heavily on panel data; however, panel data faces the issue of serious non-ignorable panel attrition associated with leaving the parental home. This paper addresses this issue using the UK Household Longitudinal Study (UKHLS) as a case study. It introduces an adjustment procedure that combines panel gap imputation via the next observation carried backward and inverse probability weighting based on the retrieved information about leaving the parental home. The results show that this adjustment method yields more precise model estimates for leaving the parental home, and after the adjustment, the positive marginal effects of age and living with non-biological parents, as well as the negative marginal effects of Asian ethnicity and regional house prices, become more pronounced. This adjustment method has the potential to be applied to address non-ignorable panel attrition associated with other events in different panel data.

查看原文本刊更多论文

在分析离开父母家庭的情况时，对不可忽略的小组自然减员进行调整

离开父母家庭是一个重要的人生事件，在文献中受到了极大的关注。有关这一主题的研究在很大程度上依赖于面板数据；然而，面板数据面临着与离开父母家庭相关的严重的不可忽略的面板流失问题。本文以英国家庭纵向研究（UKHLS）为案例，探讨了这一问题。它引入了一种调整程序，该程序结合了通过向后转移下一个观测值进行的面板缺口估算，以及基于检索到的离开父母家庭信息进行的反概率加权。结果表明，这种调整方法能得到更精确的离开父母家庭的模型估计值，而且经过调整后，年龄和与非亲生父母同住的正边际效应，以及亚裔和地区房价的负边际效应变得更加明显。这种调整方法有可能用于解决不同面板数据中与其他事件相关的不可忽略的面板流失问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in Life Course Research SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

6.10

自引率

2.90%

发文量

期刊介绍： Advances in Life Course Research publishes articles dealing with various aspects of the human life course. Seeing life course research as an essentially interdisciplinary field of study, it invites and welcomes contributions from anthropology, biosocial science, demography, epidemiology and statistics, gerontology, economics, management and organisation science, policy studies, psychology, research methodology and sociology. Original empirical analyses, theoretical contributions, methodological studies and reviews accessible to a broad set of readers are welcome.