{"title":"使用人口登记册进行生育率分析的方法问题。","authors":"S. Watkins, M. Gutmann","doi":"10.1080/01615440.1983.10594105","DOIUrl":null,"url":null,"abstract":"Some problems encountered in using population registers to study the process of fertility decline are described using the example of La Hulpe Belgium during the nineteenth century. Particular attention is paid to potential biases introduced into both traditional and nontraditional demographic measures by the characteristics of the population register. Consideration is given to when the exposure to risk of pregnancy begins and ends to problems of time and space and to how the data available can be used to measure the process of fertility decline. (ANNOTATION)","PeriodicalId":45535,"journal":{"name":"Historical Methods","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"1983-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/01615440.1983.10594105","citationCount":"10","resultStr":"{\"title\":\"Methodological issues in the use of population registers for fertility analysis.\",\"authors\":\"S. Watkins, M. Gutmann\",\"doi\":\"10.1080/01615440.1983.10594105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Some problems encountered in using population registers to study the process of fertility decline are described using the example of La Hulpe Belgium during the nineteenth century. Particular attention is paid to potential biases introduced into both traditional and nontraditional demographic measures by the characteristics of the population register. Consideration is given to when the exposure to risk of pregnancy begins and ends to problems of time and space and to how the data available can be used to measure the process of fertility decline. (ANNOTATION)\",\"PeriodicalId\":45535,\"journal\":{\"name\":\"Historical Methods\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"1983-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/01615440.1983.10594105\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Historical Methods\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1080/01615440.1983.10594105\",\"RegionNum\":2,\"RegionCategory\":\"历史学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HISTORY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Historical Methods","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/01615440.1983.10594105","RegionNum":2,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HISTORY","Score":null,"Total":0}
Methodological issues in the use of population registers for fertility analysis.
Some problems encountered in using population registers to study the process of fertility decline are described using the example of La Hulpe Belgium during the nineteenth century. Particular attention is paid to potential biases introduced into both traditional and nontraditional demographic measures by the characteristics of the population register. Consideration is given to when the exposure to risk of pregnancy begins and ends to problems of time and space and to how the data available can be used to measure the process of fertility decline. (ANNOTATION)
期刊介绍:
Historical Methodsreaches an international audience of social scientists concerned with historical problems. It explores interdisciplinary approaches to new data sources, new approaches to older questions and material, and practical discussions of computer and statistical methodology, data collection, and sampling procedures. The journal includes the following features: “Evidence Matters” emphasizes how to find, decipher, and analyze evidence whether or not that evidence is meant to be quantified. “Database Developments” announces major new public databases or large alterations in older ones, discusses innovative ways to organize them, and explains new ways of categorizing information.