{"title":"对 van Raalte 等人的 \"The Dangers of Drawing Cohort Profiles From Period Data:研究说明 \"的评论。","authors":"Carl P Schmertmann","doi":"10.1215/00703370-11484875","DOIUrl":null,"url":null,"abstract":"<p><p>van Raalte et al. (2023) alerted demographers to the potential dangers of calculating cohort measures from the \"diagonals\" of gridded age-period (AP) data. In the case of cohort fertility, however, a minor change to the estimation procedure can mitigate the trend and cohort size biases that the authors identify. With an appropriate algorithm, researchers can estimate cohort fertility indices from AP data quite well.</p>","PeriodicalId":48394,"journal":{"name":"Demography","volume":" ","pages":"967-971"},"PeriodicalIF":3.6000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Commentary on van Raalte et al.'s \\\"The Dangers of Drawing Cohort Profiles From Period Data: A Research Note\\\".\",\"authors\":\"Carl P Schmertmann\",\"doi\":\"10.1215/00703370-11484875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>van Raalte et al. (2023) alerted demographers to the potential dangers of calculating cohort measures from the \\\"diagonals\\\" of gridded age-period (AP) data. In the case of cohort fertility, however, a minor change to the estimation procedure can mitigate the trend and cohort size biases that the authors identify. With an appropriate algorithm, researchers can estimate cohort fertility indices from AP data quite well.</p>\",\"PeriodicalId\":48394,\"journal\":{\"name\":\"Demography\",\"volume\":\" \",\"pages\":\"967-971\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Demography\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1215/00703370-11484875\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Demography","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1215/00703370-11484875","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
引用次数: 0
摘要
van Raalte 等人(2023 年)提醒人口学家注意从网格年龄段(AP)数据的 "对角线 "计算队列指标的潜在危险。然而,就队列生育率而言,对估算程序稍作改动,就能减轻作者所指出的趋势和队列规模偏差。通过适当的算法,研究人员可以很好地从 AP 数据中估计队列生育率指数。
Commentary on van Raalte et al.'s "The Dangers of Drawing Cohort Profiles From Period Data: A Research Note".
van Raalte et al. (2023) alerted demographers to the potential dangers of calculating cohort measures from the "diagonals" of gridded age-period (AP) data. In the case of cohort fertility, however, a minor change to the estimation procedure can mitigate the trend and cohort size biases that the authors identify. With an appropriate algorithm, researchers can estimate cohort fertility indices from AP data quite well.
期刊介绍:
Since its founding in 1964, the journal Demography has mirrored the vitality, diversity, high intellectual standard and wide impact of the field on which it reports. Demography presents the highest quality original research of scholars in a broad range of disciplines, including anthropology, biology, economics, geography, history, psychology, public health, sociology, and statistics. The journal encompasses a wide variety of methodological approaches to population research. Its geographic focus is global, with articles addressing demographic matters from around the planet. Its temporal scope is broad, as represented by research that explores demographic phenomena spanning the ages from the past to the present, and reaching toward the future. Authors whose work is published in Demography benefit from the wide audience of population scientists their research will reach. Also in 2011 Demography remains the most cited journal among population studies and demographic periodicals. Published bimonthly, Demography is the flagship journal of the Population Association of America, reaching the membership of one of the largest professional demographic associations in the world.