{"title":"估算小地区非机构平民人口:使用公共使用数据的修正队列构成方法","authors":"Andrew C. Forrester","doi":"10.1007/s12546-023-09322-x","DOIUrl":null,"url":null,"abstract":"<p>This article develops a demographic method to estimate the civilian noninstitutional population for counties and county equivalents in the U.S. While these data provide the key sampling frame for national labor market surveys and denominators for labor market prevalence rates, the data are thus far unavailable for small areas. I develop a modified cohort component method to produce novel, monthly estimates of the civilian noninstitutional population for all U.S. counties using publicly available data on population and vital statistics with minimal modifications. The resulting population data may be used by researchers and policymakers to study within-year population dynamics as they relate to economic and demographic factors. I further extend the method to produce short-term population projections that include the most current vital statistics. The method compares favorably to existing annual, midyear estimates by the U.S. Census Bureau, but is prone to error in areas with fewer vital events.\n</p>","PeriodicalId":45624,"journal":{"name":"JOURNAL OF POPULATION RESEARCH","volume":"48 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating the civilian noninstitutional population for small areas: a modified cohort component approach using public use data\",\"authors\":\"Andrew C. Forrester\",\"doi\":\"10.1007/s12546-023-09322-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This article develops a demographic method to estimate the civilian noninstitutional population for counties and county equivalents in the U.S. While these data provide the key sampling frame for national labor market surveys and denominators for labor market prevalence rates, the data are thus far unavailable for small areas. I develop a modified cohort component method to produce novel, monthly estimates of the civilian noninstitutional population for all U.S. counties using publicly available data on population and vital statistics with minimal modifications. The resulting population data may be used by researchers and policymakers to study within-year population dynamics as they relate to economic and demographic factors. I further extend the method to produce short-term population projections that include the most current vital statistics. The method compares favorably to existing annual, midyear estimates by the U.S. Census Bureau, but is prone to error in areas with fewer vital events.\\n</p>\",\"PeriodicalId\":45624,\"journal\":{\"name\":\"JOURNAL OF POPULATION RESEARCH\",\"volume\":\"48 1\",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JOURNAL OF POPULATION RESEARCH\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s12546-023-09322-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF POPULATION RESEARCH","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s12546-023-09322-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
Estimating the civilian noninstitutional population for small areas: a modified cohort component approach using public use data
This article develops a demographic method to estimate the civilian noninstitutional population for counties and county equivalents in the U.S. While these data provide the key sampling frame for national labor market surveys and denominators for labor market prevalence rates, the data are thus far unavailable for small areas. I develop a modified cohort component method to produce novel, monthly estimates of the civilian noninstitutional population for all U.S. counties using publicly available data on population and vital statistics with minimal modifications. The resulting population data may be used by researchers and policymakers to study within-year population dynamics as they relate to economic and demographic factors. I further extend the method to produce short-term population projections that include the most current vital statistics. The method compares favorably to existing annual, midyear estimates by the U.S. Census Bureau, but is prone to error in areas with fewer vital events.
期刊介绍:
The Journal of Population Research is a peer-reviewed, international journal which publishes papers on demography and population-related issues. Coverage is not restricted geographically. The Journal publishes substantive empirical analyses, theoretical works, applied research and contributions to methodology. Submissions may take the form of original research papers, perspectives, review articles and shorter technical research notes. Special issues emanating from conferences and other meetings are also considered.