Regional fertility data analysis: A small area Bayesian approach

Eduardo Castro; Zhen Zhang; Arnab Bhattacharjee; Jose M Martins; Tapabrata Maiti

Regional fertility data analysis: A small area Bayesian approach

Eduardo Castro
, Zhen Zhang
, Arnab Bhattacharjee
, Jose M Martins
, Tapabrata Maiti

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

We use small area Bayesian statistics to develop a model for age-specific fertility rates. The model is then used to estimate age-specific fertility rates and total fertility rates at the regional NUTS III area level for Portugal. The paper makes important contributions to small area Bayesian statistics in a spatial domain focusing on estimation of fertility rates. The estimates obtained are useful for demographic policy in Portugal.

Original language	English
Title of host publication	Current Trends in Bayesian Methodology with Applications
Editors	Satyanshu K Upadhyay, Umesh Singh, Dipak K Dey, A Loganathan
Publisher	CRC Press
Pages	203-224
ISBN (Print)	9781482235111
Publication status	Published - 7 May 2015

Cite this

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title = "Regional fertility data analysis: A small area Bayesian approach",

abstract = "We use small area Bayesian statistics to develop a model for age-specific fertility rates. The model is then used to estimate age-specific fertility rates and total fertility rates at the regional NUTS III area level for Portugal. The paper makes important contributions to small area Bayesian statistics in a spatial domain focusing on estimation of fertility rates. The estimates obtained are useful for demographic policy in Portugal.",

author = "Eduardo Castro and Zhen Zhang and Arnab Bhattacharjee and Martins, \{Jose M\} and Tapabrata Maiti",

year = "2015",

month = may,

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language = "English",

isbn = "9781482235111",

pages = "203--224",

editor = "Upadhyay, \{Satyanshu K\} and Umesh Singh and Dey, \{Dipak K\} and A Loganathan",

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publisher = "CRC Press",

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Regional fertility data analysis: A small area Bayesian approach. / Castro, Eduardo; Zhang, Zhen; Bhattacharjee, Arnab et al.
Current Trends in Bayesian Methodology with Applications. ed. / Satyanshu K Upadhyay; Umesh Singh; Dipak K Dey; A Loganathan. CRC Press, 2015. p. 203-224.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Regional fertility data analysis: A small area Bayesian approach

AU - Castro, Eduardo

AU - Zhang, Zhen

AU - Bhattacharjee, Arnab

AU - Martins, Jose M

AU - Maiti, Tapabrata

PY - 2015/5/7

Y1 - 2015/5/7

N2 - We use small area Bayesian statistics to develop a model for age-specific fertility rates. The model is then used to estimate age-specific fertility rates and total fertility rates at the regional NUTS III area level for Portugal. The paper makes important contributions to small area Bayesian statistics in a spatial domain focusing on estimation of fertility rates. The estimates obtained are useful for demographic policy in Portugal.

AB - We use small area Bayesian statistics to develop a model for age-specific fertility rates. The model is then used to estimate age-specific fertility rates and total fertility rates at the regional NUTS III area level for Portugal. The paper makes important contributions to small area Bayesian statistics in a spatial domain focusing on estimation of fertility rates. The estimates obtained are useful for demographic policy in Portugal.

M3 - Chapter (peer-reviewed)

SN - 9781482235111

SP - 203

EP - 224

BT - Current Trends in Bayesian Methodology with Applications

A2 - Upadhyay, Satyanshu K

A2 - Singh, Umesh

A2 - Dey, Dipak K

A2 - Loganathan, A

PB - CRC Press

ER -

Regional fertility data analysis: A small area Bayesian approach

Abstract

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