Bayesian geoadditive modelling of breastfeeding initiation in Nigeria

Samson B. Adebayo
Additional contact information
Samson B. Adebayo: Department of Statistics, University of Munich, Germany, Postal: Department of Statistics, University of Munich, Germany

Journal of Applied Econometrics, 2004, vol. 19, issue 2, pages 267-281

Abstract: A study into the geographical variability of timing of initial child breastfeeding after birth was carried out with the data set from the 1999 Nigeria Demographic and Health Survey. The effect of the metrical covariate of the mother's age at birth was assumed to be nonlinear and estimated nonparametrically. Other categorical covariates are estimated in the usual parametric form. Within a Bayesian context, appropriate priors are assigned for the geographical location, vector of the unknown (nonlinear) smooth functions and a further vector of the fixed effect parameters. For instance, a Markov random field prior is assumed on the spatial effects. Inferences are based on Markov chain Monte Carlo techniques while Bayesian model diagnostics are based on the deviance information criteria. Copyright © 2004 John Wiley & Sons, Ltd.

Date: 2004
View list of references

Downloads: (external link)
http://hdl.handle.net/10.1002/jae.732 Link to full text; subscription required (text/html)
http://qed.econ.queensu.ca:80/jae/2004-v19.2/ Supporting data files and programs (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:jae:japmet:v:19:y:2004:i:2:p:267-281

Ordering information: This journal article can be ordered from
http://www3.intersci ... e.jsp?issn=0883-7252

Access Statistics for this article

Journal of Applied Econometrics is edited by M. Hashem Pesaran

More articles in Journal of Applied Econometrics from John Wiley & Sons, Ltd.
Series data maintained by Christopher F. Baum ().