利用 PSID 建立的代际联系模型中的损耗,并将其扩展到健康和兄弟姐妹模型。

Pub Date : 2011-01-01 DOI:10.2202/1935-1682.2868
John M Fitzgerald
{"title":"利用 PSID 建立的代际联系模型中的损耗,并将其扩展到健康和兄弟姐妹模型。","authors":"John M Fitzgerald","doi":"10.2202/1935-1682.2868","DOIUrl":null,"url":null,"abstract":"<p><p>Selective attrition potentially biases estimation of intergenerational links in health and economic status. This paper documents attrition in the PSID through 2007 for a cohort of children, and investigates attrition bias in intergenerational models predicting adult health, education and earnings, including models based on sibling differences. Although attrition affects unconditional means, the weighted PSID generally maintains its representativeness along key dimensions in comparison to the National Health Interview Survey. Using PSID, sibling correlations in outcomes and father-son correlations in earnings are not significantly affected by attrition. Models of intergenerational links with covariates yield more mixed results with females showing few robust impacts of attrition and males showing potential attrition bias for education and earnings outcomes. For adult health outcomes conditional on child background, neither gender shows significant impacts of attrition for the age ranges and models considered here. Sibling models do not produce robustly higher attrition impacts than individual models.</p>","PeriodicalId":74952,"journal":{"name":"","volume":"11 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3285469/pdf/nihms351011.pdf","citationCount":"0","resultStr":"{\"title\":\"Attrition in Models of Intergenerational Links Using the PSID with Extensions to Health and to Sibling Models.\",\"authors\":\"John M Fitzgerald\",\"doi\":\"10.2202/1935-1682.2868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Selective attrition potentially biases estimation of intergenerational links in health and economic status. This paper documents attrition in the PSID through 2007 for a cohort of children, and investigates attrition bias in intergenerational models predicting adult health, education and earnings, including models based on sibling differences. Although attrition affects unconditional means, the weighted PSID generally maintains its representativeness along key dimensions in comparison to the National Health Interview Survey. Using PSID, sibling correlations in outcomes and father-son correlations in earnings are not significantly affected by attrition. Models of intergenerational links with covariates yield more mixed results with females showing few robust impacts of attrition and males showing potential attrition bias for education and earnings outcomes. For adult health outcomes conditional on child background, neither gender shows significant impacts of attrition for the age ranges and models considered here. Sibling models do not produce robustly higher attrition impacts than individual models.</p>\",\"PeriodicalId\":74952,\"journal\":{\"name\":\"\",\"volume\":\"11 3\",\"pages\":\"\"},\"PeriodicalIF\":0.0,\"publicationDate\":\"2011-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3285469/pdf/nihms351011.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2202/1935-1682.2868\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2202/1935-1682.2868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

选择性减员可能会使对健康和经济状况代际联系的估计出现偏差。本文记录了 PSID 到 2007 年的一组儿童的自然减员情况,并研究了预测成人健康、教育和收入的代际模型(包括基于兄弟姐妹差异的模型)中的自然减员偏差。虽然自然减员会影响无条件平均值,但与全国健康访谈调查相比,加权 PSID 在关键维度上总体上保持了代表性。使用 PSID,结果中的兄弟姐妹相关性和收入中的父子相关性不会受到自然减员的显著影响。带有协变量的代际联系模型得出的结果比较复杂,女性很少受到自然减员的有力影响,而男性则在教育和收入结果方面表现出潜在的自然减员偏差。对于以儿童背景为条件的成人健康结果,在本文考虑的年龄范围和模型中,男女均未显示出显著的自然减员影响。兄弟姐妹模型对自然减员的影响并不比个体模型大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attrition in Models of Intergenerational Links Using the PSID with Extensions to Health and to Sibling Models.

Selective attrition potentially biases estimation of intergenerational links in health and economic status. This paper documents attrition in the PSID through 2007 for a cohort of children, and investigates attrition bias in intergenerational models predicting adult health, education and earnings, including models based on sibling differences. Although attrition affects unconditional means, the weighted PSID generally maintains its representativeness along key dimensions in comparison to the National Health Interview Survey. Using PSID, sibling correlations in outcomes and father-son correlations in earnings are not significantly affected by attrition. Models of intergenerational links with covariates yield more mixed results with females showing few robust impacts of attrition and males showing potential attrition bias for education and earnings outcomes. For adult health outcomes conditional on child background, neither gender shows significant impacts of attrition for the age ranges and models considered here. Sibling models do not produce robustly higher attrition impacts than individual models.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
×
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:481959085
Book学术官方微信