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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Federal Institute for Population Research
2011-02-01
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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 |
work_keys_str_mv |
AT gabrieledoblhammer monitoringofgermanfertilityestimationofmonthlyandyearlytotalfertilityratesonthebasisofpreliminarymonthlydata AT nadjamilewski monitoringofgermanfertilityestimationofmonthlyandyearlytotalfertilityratesonthebasisofpreliminarymonthlydata AT frederikpeters monitoringofgermanfertilityestimationofmonthlyandyearlytotalfertilityratesonthebasisofpreliminarymonthlydata |
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1721243140724097024 |