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 proceedingChapter (peer-reviewed)

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 languageEnglish
Title of host publicationCurrent Trends in Bayesian Methodology with Applications
EditorsSatyanshu K Upadhyay, Umesh Singh, Dipak K Dey, A Loganathan
PublisherCRC Press
Pages203-224
ISBN (Print)9781482235111
Publication statusPublished - 7 May 2015

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  • Cite this

    Castro, E., Zhang, Z., Bhattacharjee, A., Martins, J. M., & Maiti, T. (2015). Regional fertility data analysis: A small area Bayesian approach. In S. K. Upadhyay, U. Singh, D. K. Dey, & A. Loganathan (Eds.), Current Trends in Bayesian Methodology with Applications (pp. 203-224). CRC Press.