Monitoring of German Fertility: Estimation of Monthly and Yearly Total Fertility Rates on the Basis of Preliminary Monthly Data

This paper introduces a set of methods for estimating fertility indicators in the absence of recent and short-term birth statistics. For Germany, we propose a set of straightforward methods that allow for the computation of monthly and yearly total fertility rates (mTFR) on the basis of preliminary...

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Main Authors: Gabriele Doblhammer, Nadja Milewski, Frederik Peters
Format: Article
Language:English
Published: Federal Institute for Population Research 2011-02-01
Series:Comparative Population Studies
Subjects:
Online Access:http://www.comparativepopulationstudies.de/index.php/CPoS/article/view/32
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spelling doaj-7d5a8b35d0af494c8ee3895c2c6012782021-08-02T03:47:51ZengFederal Institute for Population ResearchComparative Population Studies1869-89801869-89992011-02-0135215Monitoring of German Fertility: Estimation of Monthly and Yearly Total Fertility Rates on the Basis of Preliminary Monthly DataGabriele Doblhammer0Nadja Milewski1Frederik Peters2Rostock Center for the Study of Demographic Change, RostockRostock Center for the Study of Demographic Change, RostockRostock Center for the Study of Demographic Change, RostockThis paper introduces a set of methods for estimating fertility indicators in the absence of recent and short-term birth statistics. For Germany, we propose a set of straightforward methods that allow for the computation of monthly and yearly total fertility rates (mTFR) on the basis of preliminary monthly data, including a confidence interval. The method for estimating most current fertility rates can be applied when no information on the age structure and the number of women exposed to childbearing is available. The methods introduced in this study are useful for calculating monthly birth indicators, with minimal requirements for data quality and statistical effort. In addition, we suggest an approach for projecting the yearly TFR based on preliminary monthly information up to June.http://www.comparativepopulationstudies.de/index.php/CPoS/article/view/32Demographic monitoringGermanymonthly total fertility rateconfidence interval, TFR
collection DOAJ
language English
format Article
sources DOAJ
author Gabriele Doblhammer
Nadja Milewski
Frederik Peters
spellingShingle Gabriele Doblhammer
Nadja Milewski
Frederik Peters
Monitoring of German Fertility: Estimation of Monthly and Yearly Total Fertility Rates on the Basis of Preliminary Monthly Data
Comparative Population Studies
Demographic monitoring
Germany
monthly total fertility rate
confidence interval, TFR
author_facet Gabriele Doblhammer
Nadja Milewski
Frederik Peters
author_sort Gabriele Doblhammer
title Monitoring of German Fertility: Estimation of Monthly and Yearly Total Fertility Rates on the Basis of Preliminary Monthly Data
title_short Monitoring of German Fertility: Estimation of Monthly and Yearly Total Fertility Rates on the Basis of Preliminary Monthly Data
title_full Monitoring of German Fertility: Estimation of Monthly and Yearly Total Fertility Rates on the Basis of Preliminary Monthly Data
title_fullStr Monitoring of German Fertility: Estimation of Monthly and Yearly Total Fertility Rates on the Basis of Preliminary Monthly Data
title_full_unstemmed Monitoring of German Fertility: Estimation of Monthly and Yearly Total Fertility Rates on the Basis of Preliminary Monthly Data
title_sort monitoring of german fertility: estimation of monthly and yearly total fertility rates on the basis of preliminary monthly data
publisher Federal Institute for Population Research
series Comparative Population Studies
issn 1869-8980
1869-8999
publishDate 2011-02-01
description This paper introduces a set of methods for estimating fertility indicators in the absence of recent and short-term birth statistics. For Germany, we propose a set of straightforward methods that allow for the computation of monthly and yearly total fertility rates (mTFR) on the basis of preliminary monthly data, including a confidence interval. The method for estimating most current fertility rates can be applied when no information on the age structure and the number of women exposed to childbearing is available. The methods introduced in this study are useful for calculating monthly birth indicators, with minimal requirements for data quality and statistical effort. In addition, we suggest an approach for projecting the yearly TFR based on preliminary monthly information up to June.
topic Demographic monitoring
Germany
monthly total fertility rate
confidence interval, TFR
url http://www.comparativepopulationstudies.de/index.php/CPoS/article/view/32
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AT nadjamilewski monitoringofgermanfertilityestimationofmonthlyandyearlytotalfertilityratesonthebasisofpreliminarymonthlydata
AT frederikpeters monitoringofgermanfertilityestimationofmonthlyandyearlytotalfertilityratesonthebasisofpreliminarymonthlydata
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