小地区生育率估算：比较四参数自有子女法和基于泊松回归的人-期法

IF 1.1 Q3 DEMOGRAPHY

Spatial Demography Pub Date : 2019-05-08 DOI:10.1007/s40980-019-00051-5

Pedzisai Ndagurwa, Clifford Odimegwu

{"title":"小地区生育率估算：比较四参数自有子女法和基于泊松回归的人-期法","authors":"Pedzisai Ndagurwa, Clifford Odimegwu","doi":"10.1007/s40980-019-00051-5","DOIUrl":null,"url":null,"abstract":"This study assesses the capabilities of the 4-parameters own children method (4-pOCM) approach in the estimation of fertility rates of small areas using Schoumaker’s (2013) Poisson regression-based person-period approach (PPA). The paper was designed to appraise the Excel toolkit designed by Garenne and McCaa (2017) to implement the 4-pOCM in relation to Schoumaker’s (2013) Stata software command tfr2 which implements a Poisson regression-based PPA to calculate fertility rates. Using a descriptive approach, analyses were conducted on the 2015 Zimbabwe Demographic and Health Survey, applying the two tools and methods to the estimation of national and subnational fertility rates. The results showed that the 4-pOCM was able to maintain consistency in its estimates between national to subnational levels just like the proven tfr2. The study concluded that the 4-pOCM can be a reliable reference method for studying fertility trends of small areas especially in African contexts where reliable vital registration data are limited.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"114 1","pages":"149-165"},"PeriodicalIF":1.1000,"publicationDate":"2019-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Small Area Estimation of Fertility: Comparing the 4-Parameters Own-Children Method and the Poisson Regression-Based Person-Period Approach\",\"authors\":\"Pedzisai Ndagurwa, Clifford Odimegwu\",\"doi\":\"10.1007/s40980-019-00051-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study assesses the capabilities of the 4-parameters own children method (4-pOCM) approach in the estimation of fertility rates of small areas using Schoumaker’s (2013) Poisson regression-based person-period approach (PPA). The paper was designed to appraise the Excel toolkit designed by Garenne and McCaa (2017) to implement the 4-pOCM in relation to Schoumaker’s (2013) Stata software command tfr2 which implements a Poisson regression-based PPA to calculate fertility rates. Using a descriptive approach, analyses were conducted on the 2015 Zimbabwe Demographic and Health Survey, applying the two tools and methods to the estimation of national and subnational fertility rates. The results showed that the 4-pOCM was able to maintain consistency in its estimates between national to subnational levels just like the proven tfr2. The study concluded that the 4-pOCM can be a reliable reference method for studying fertility trends of small areas especially in African contexts where reliable vital registration data are limited.\",\"PeriodicalId\":43022,\"journal\":{\"name\":\"Spatial Demography\",\"volume\":\"114 1\",\"pages\":\"149-165\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2019-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spatial Demography\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s40980-019-00051-5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spatial Demography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40980-019-00051-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DEMOGRAPHY","Score":null,"Total":0}

引用次数: 0

摘要

本研究评估了四参数自有子女法（4-pOCM）在使用 Schoumaker（2013 年）基于泊松回归的人-周期法（PPA）估算小地区生育率方面的能力。本文旨在评估 Garenne 和 McCaa（2017 年）为实施 4-pOCM 而设计的 Excel 工具包，以及 Schoumaker（2013 年）为计算生育率而实施基于泊松回归的 PPA 的 Stata 软件命令 tfr2。采用描述性方法，对 2015 年津巴布韦人口与健康调查进行了分析，将这两种工具和方法用于估算国家和国家以下各级的生育率。结果表明，4-pOCM 与经过验证的 tfr2 一样，能够在国家和国家以下级别之间保持估算的一致性。研究得出结论，4-pOCM 可以作为研究小地区生育率趋势的可靠参考方法，特别是在可靠的生命登记数据有限的非洲地区。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Small Area Estimation of Fertility: Comparing the 4-Parameters Own-Children Method and the Poisson Regression-Based Person-Period Approach

This study assesses the capabilities of the 4-parameters own children method (4-pOCM) approach in the estimation of fertility rates of small areas using Schoumaker’s (2013) Poisson regression-based person-period approach (PPA). The paper was designed to appraise the Excel toolkit designed by Garenne and McCaa (2017) to implement the 4-pOCM in relation to Schoumaker’s (2013) Stata software command tfr2 which implements a Poisson regression-based PPA to calculate fertility rates. Using a descriptive approach, analyses were conducted on the 2015 Zimbabwe Demographic and Health Survey, applying the two tools and methods to the estimation of national and subnational fertility rates. The results showed that the 4-pOCM was able to maintain consistency in its estimates between national to subnational levels just like the proven tfr2. The study concluded that the 4-pOCM can be a reliable reference method for studying fertility trends of small areas especially in African contexts where reliable vital registration data are limited.

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

Spatial Demography DEMOGRAPHY-

自引率

0.00%

发文量

期刊介绍： Spatial Demography focuses on understanding the spatial and spatiotemporal dimension of demographic processes. More specifically, the journal is interested in submissions that include the innovative use and adoption of spatial concepts, geospatial data, spatial technologies, and spatial analytic methods that further our understanding of demographic and policy-related related questions. The journal publishes both substantive and methodological papers from across the discipline of demography and its related fields (including economics, geography, sociology, anthropology, environmental science) and in applications ranging from local to global scale. In addition to research articles the journal will consider for publication review essays, book reviews, and reports/reviews on data, software, and instructional resources.