Determinants of Children's Mental Health: Relative Contributions When Accounting for Unobserved Heterogeneity, Endogeneity and Self-Selection

IF 2.4 3区 地球科学 Q1 GEOGRAPHY
Anna Tort-Carrera, J. Paul Elhorst, Govert E. Bijwaard
{"title":"Determinants of Children's Mental Health: Relative Contributions When Accounting for Unobserved Heterogeneity, Endogeneity and Self-Selection","authors":"Anna Tort-Carrera,&nbsp;J. Paul Elhorst,&nbsp;Govert E. Bijwaard","doi":"10.1111/gean.70020","DOIUrl":null,"url":null,"abstract":"<p>While the neighborhood has been shown to contribute to children's mental health, the extent of this contribution is not yet sufficiently clear due to several methodological challenges. We investigate the relative contribution– sign, magnitude, and significance– of six neighborhood characteristics associated with children's mental health when accounting for unobserved heterogeneity, endogeneity, and self-selection in neighborhoods of different socio-economic status. Using a correlated random effects model in space and time and two waves of data extracted from the Lifelines Cohort Study of children between 7 and 15 years of age in northern Netherlands, we analyze both internalizing and externalizing behavior. Besides the importance of the environment for healthy child development, our empirical findings show that the magnitude and significance of neighborhood characteristics increase significantly, especially when we control for endogeneity of maternal family characteristics. Controlling for self-selection again reduces the magnitude slightly, but only for externalizing behavior. Controlling for unobserved child-invariant factors is also found to be significant, but not for unobserved heterogeneity.</p>","PeriodicalId":12533,"journal":{"name":"Geographical Analysis","volume":"57 4","pages":"732-743"},"PeriodicalIF":2.4000,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gean.70020","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geographical Analysis","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/gean.70020","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0

Abstract

While the neighborhood has been shown to contribute to children's mental health, the extent of this contribution is not yet sufficiently clear due to several methodological challenges. We investigate the relative contribution– sign, magnitude, and significance– of six neighborhood characteristics associated with children's mental health when accounting for unobserved heterogeneity, endogeneity, and self-selection in neighborhoods of different socio-economic status. Using a correlated random effects model in space and time and two waves of data extracted from the Lifelines Cohort Study of children between 7 and 15 years of age in northern Netherlands, we analyze both internalizing and externalizing behavior. Besides the importance of the environment for healthy child development, our empirical findings show that the magnitude and significance of neighborhood characteristics increase significantly, especially when we control for endogeneity of maternal family characteristics. Controlling for self-selection again reduces the magnitude slightly, but only for externalizing behavior. Controlling for unobserved child-invariant factors is also found to be significant, but not for unobserved heterogeneity.

Abstract Image

儿童心理健康的决定因素:考虑未观察到的异质性、内生性和自我选择时的相对贡献
虽然邻里关系已被证明有助于儿童的心理健康,但由于一些方法上的挑战,这种贡献的程度还不够清楚。当考虑到不同社会经济地位的社区中未观察到的异质性、内质性和自我选择时,我们研究了与儿童心理健康相关的六个社区特征的相对贡献——符号、幅度和重要性。我们利用空间和时间上的相关随机效应模型,以及从荷兰北部7至15岁儿童的生命线队列研究中提取的两波数据,分析了内化和外化行为。除了环境对儿童健康发展的重要性外,我们的实证研究结果表明,邻里特征的幅度和重要性显著增加,特别是当我们控制了母亲家庭特征的内生性时。对自我选择的控制再次略微降低了幅度,但仅限于外化行为。控制未观察到的子不变因素也很重要,但没有观察到异质性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
8.70
自引率
5.60%
发文量
40
期刊介绍: First in its specialty area and one of the most frequently cited publications in geography, Geographical Analysis has, since 1969, presented significant advances in geographical theory, model building, and quantitative methods to geographers and scholars in a wide spectrum of related fields. Traditionally, mathematical and nonmathematical articulations of geographical theory, and statements and discussions of the analytic paradigm are published in the journal. Spatial data analyses and spatial econometrics and statistics are strongly represented.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书