南达科他州10个农村县年龄收入相关性缺失:真实资本外流还是自我选择偏差?

Daren Junker, Meredith Redlin, David P. Olson, Gary Aguiar
{"title":"南达科他州10个农村县年龄收入相关性缺失:真实资本外流还是自我选择偏差?","authors":"Daren Junker, Meredith Redlin, David P. Olson, Gary Aguiar","doi":"10.4148/OJRRP.V7I3.1741","DOIUrl":null,"url":null,"abstract":"Previous research establishes a positive correlation between age and income during the working years of 18 to 65. Survey data from the first 10 communities in a development project in South Dakota do not exhibit this correlation. Census data is examined for the 10 counties involved to determine whether the correlation is absent countywide or if self-selection bias may have produced this result. With income distributions matching their respective counties and working age distributions that do not, factors that might skew self-selection in the observed manner are examined from a life-course perspective. Often the assumption is made that small data sets from applied projects cannot yield much information of value for research purposes. Applying nonparametric tests appropriately allowed some surprises to be discovered and explained in one such small data set. Income has long been positively correlated with age (DiazGimenez, Glover, and Rios-Rull 2011) 1 , but this correlation did not appear in surveys collected from participants in 10 community book reads across South Dakota hosted by the SDSU Extension and the Political Science and Sociology departments of South Dakota State University.","PeriodicalId":91938,"journal":{"name":"Online journal of rural research and policy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Absence of Age-Income Correlation in Ten Rural South Dakota Counties: Real Capital Outflow or Self-selection Bias?\",\"authors\":\"Daren Junker, Meredith Redlin, David P. Olson, Gary Aguiar\",\"doi\":\"10.4148/OJRRP.V7I3.1741\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Previous research establishes a positive correlation between age and income during the working years of 18 to 65. Survey data from the first 10 communities in a development project in South Dakota do not exhibit this correlation. Census data is examined for the 10 counties involved to determine whether the correlation is absent countywide or if self-selection bias may have produced this result. With income distributions matching their respective counties and working age distributions that do not, factors that might skew self-selection in the observed manner are examined from a life-course perspective. Often the assumption is made that small data sets from applied projects cannot yield much information of value for research purposes. Applying nonparametric tests appropriately allowed some surprises to be discovered and explained in one such small data set. Income has long been positively correlated with age (DiazGimenez, Glover, and Rios-Rull 2011) 1 , but this correlation did not appear in surveys collected from participants in 10 community book reads across South Dakota hosted by the SDSU Extension and the Political Science and Sociology departments of South Dakota State University.\",\"PeriodicalId\":91938,\"journal\":{\"name\":\"Online journal of rural research and policy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Online journal of rural research and policy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4148/OJRRP.V7I3.1741\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Online journal of rural research and policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4148/OJRRP.V7I3.1741","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

先前的研究表明,在18岁至65岁的工作年限内,年龄与收入之间存在正相关关系。来自南达科塔州一个开发项目的前10个社区的调查数据没有显示出这种相关性。对涉及的10个县的人口普查数据进行了检查,以确定是否在全县范围内不存在相关性,或者是否自我选择偏差可能导致了这一结果。由于收入分配与各自的县相匹配,而工作年龄分布与之不匹配,因此可能以观察到的方式扭曲自我选择的因素从生命历程的角度进行了检查。通常假设来自应用项目的小数据集不能为研究目的产生很多有价值的信息。适当地应用非参数测试可以在这样一个小数据集中发现和解释一些意外。长期以来,收入与年龄呈正相关(DiazGimenez, Glover和Rios-Rull, 2011) 1,但这种相关性并没有出现在SDSU扩展和南达科他州立大学政治科学和社会学系主办的南达科他州10个社区读书活动参与者的调查中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Absence of Age-Income Correlation in Ten Rural South Dakota Counties: Real Capital Outflow or Self-selection Bias?
Previous research establishes a positive correlation between age and income during the working years of 18 to 65. Survey data from the first 10 communities in a development project in South Dakota do not exhibit this correlation. Census data is examined for the 10 counties involved to determine whether the correlation is absent countywide or if self-selection bias may have produced this result. With income distributions matching their respective counties and working age distributions that do not, factors that might skew self-selection in the observed manner are examined from a life-course perspective. Often the assumption is made that small data sets from applied projects cannot yield much information of value for research purposes. Applying nonparametric tests appropriately allowed some surprises to be discovered and explained in one such small data set. Income has long been positively correlated with age (DiazGimenez, Glover, and Rios-Rull 2011) 1 , but this correlation did not appear in surveys collected from participants in 10 community book reads across South Dakota hosted by the SDSU Extension and the Political Science and Sociology departments of South Dakota State University.
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
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Using text analysis to assess the mental health impacts of COVID-19 on rural healthcare providers Treating a Public Health Crisis for Rural Moms – A Comparative Analysis of Four Rural States Addressing Maternal Opioid Misuse with Medicaid Innovation Models Mentee Perceptions of Public School Superintendent Mentorship in a Rural, Midwest State “You’re in apple land but you are a lemon:” Connection, Collaboration, and Division in Early ‘70s Indian Country Expanding the Capacity of Rural Cancer Care With Teleoncology
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1