Understanding Recent Fertility Trends in the UK and Improving Methodologies for Fertility Forecasting
Understanding Recent Fertility Trends in the UK and Improving Methodologies for Fertility Forecasting
批准号:
ES/S009477/1
负责人:
Hill Kulu
金额:
$72.19万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --
中文摘要
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英文摘要
The last two decades have witnessed dramatic fluctuations in fertility levels, which were not predicted by demographers or government statisticians: Fertility significantly increased in the first decade of the 21st century, whereas it has declined thereafter. These fluctuations have significant implications for planning and policy making, at both national and local levels. For example, the fertility increase between 2001 and 2012 led to more than 60 thousand additional births in the UK annually. The causes of the recent fertility dynamics are unclear. Some researchers attribute the recent fluctuations in fertility levels to changes in fertility timing - i.e. the postponement or acceleration of childbearing. Others emphasise the importance of changes in population composition or changes in childbearing behaviour in response to past policy changes and the post-2008 economic recession. Birth registration data used by government statisticians at the Office for National Statistics (ONS), National Records of Scotland (NRS) and Northern Ireland Statistical Research Agency (NISRA) inform us about the total number of births and aggregated fertility measures; however, they do not provide information about childbearing trends by parity (birth order), which is critical to understanding and predicting fertility trends. High-quality large-scale longitudinal data provide the opportunity to conduct a detailed analysis of parity-specific fertility; for example, to determine whether fertility has recently declined because of the (further) postponement of childbearing and increased childlessness among women or because of declining family size among mothers (e.g. fewer third births).Childbearing is naturally a sequential process; decisions on having an additional child are likely to be evaluated on the basis of experience with previous children. Detailed analysis of fertility by parity will thus significantly enhance our ability to forecast future fertility. In this project we will harmonise census-linked administrative data from the ONS Longitudinal Study, Scottish Longitudinal Study, and Northern Ireland Longitudinal Study, together with survey data from the Understanding Society study. The project is thus novel in that it uses data from the all four UK constituent countries; focuses on the analysis of childbearing trends by birth order, and brings together experts in demography and statistical forecasting to develop better methods for fertility forecasting. First, we will calculate annual parity-specific fertility rates by UK country to determine how much changes in fertility levels are attributable to the changes in first, second, third or fourth births. We will then adjust fertility rates for characteristics of that population (e.g. place of birth, educational level) to determine how much a change in fertility levels in the UK over time is attributable to changes in population composition, and how much to changes in childbearing behaviour, possibly as a result of changing policies and economic environment. Finally, we will use information on parity-specific fertility to forecast future fertility levels in the UK using Bayesian methodology.The project will bring together researchers from the Universities of St Andrews and Southampton, as well as government statisticians from ONS, NRS, and NISRA, to work on an important policy-relevant topic. The project will greatly improve our understanding of the factors associated with changing fertility dynamics in the UK and will show how existing large-scale longitudinal datasets can be used for cross-country analysis of fertility by birth order. It will also significantly improve the methodology used for fertility forecasts for the UK and its constituent countries. A better understanding of the present childbearing trends and forecast of the future developments will be critical to inform the planning of demand for various public services (e.g., nurseries, school places and housing).
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DOI:
10.1002/psp.2546
发表时间:
2021-12-29
期刊:
POPULATION SPACE AND PLACE
影响因子:
2.4
作者:
[Berrington, Ann, Ellison, Joanne, Kulu, Hill]
通讯作者:
Kulu, Hill
DOI:
10.4337/9781788975544.00033
发表时间:
2021
期刊:
影响因子:
--
作者:
[Sullivan O]
通讯作者:
Sullivan O
Investigating the application of generalized additive models to discrete-time event history analysis for birth events
研究广义加性模型在出生事件离散时间事件历史分析中的应用
DOI:
10.4054/demres.2022.47.22
发表时间:
2022
期刊:
Demographic Research
影响因子:
2.1
作者:
[Ellison J]
通讯作者:
Ellison J
Cross-national differences in the use of contraception and abortion services between England, Wales, and Scotland.
英格兰、威尔士和苏格兰之间使用避孕和堕胎服务的跨国差异。
DOI:
10.1136/bmjsrh-2022-201635
发表时间:
2023
期刊:
BMJ sexual & reproductive health
影响因子:
3.3
作者:
[Kuang B]
通讯作者:
Kuang B
Twenty years of having babies across different countries of the UK: How has parents' partnership status changed?
英国不同国家生孩子二十年:父母的伴侣关系发生了怎样的变化?
DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
[Kuang B.]
通讯作者:
Kuang B.
共 9 条
Partner Relationships, Residential Relocations and Housing in the Life Course
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批准号:ES/L01663X/2
-
项目类别:Research Grant
-
资助金额:$9.42万
-
财政年份:2017
-
负责人:Hill Kulu
-
依托单位:
Partner Relationships, Residential Relocations and Housing in the Life Course
-
批准号:ES/L01663X/1
-
项目类别:Research Grant
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资助金额:$33.29万
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财政年份:2014
-
负责人:Hill Kulu
-
依托单位:
海外基金