Municipal-level estimates of child mortality for Brazil : a new approach using Bayesian statistics

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Municipal-level estimates of child mortality for Brazil : a new approach using Bayesian statistics

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dc.contributor.advisor Potter, Joseph E.
dc.contributor.advisor Hummer, Robert A.
dc.creator McKinnon, Sarah Ann
dc.date.accessioned 2010-12-14T19:08:08Z
dc.date.accessioned 2010-12-14T19:08:22Z
dc.date.available 2010-12-14T19:08:08Z
dc.date.available 2010-12-14T19:08:22Z
dc.date.created 2010-08
dc.date.issued 2010-12-14
dc.date.submitted August 2010
dc.identifier.uri http://hdl.handle.net/2152/ETD-UT-2010-08-1866
dc.description.abstract Current efforts to measure child mortality for municipalities in Brazil are hampered by the relative rarity of child deaths, which often results in unstable and unreliable estimates. As a result, it is not possible to accurately assess true levels of child mortality for many areas, hindering efforts towards constructing and implementing effective policy initiatives for the reduction of child mortality. However, with a spatial smoothing process based upon Bayesian Statistics it is possible to “borrow” information from neighboring areas in order to generate more stable and accurate estimates of mortality in smaller areas. The objective of this study is to use this spatial smoothing process to derive estimates of child mortality at the level of the municipality in Brazil. Using data from the 2000 Brazil Census, I derive both Bayesian and non-Bayesian estimates of mortality for each municipality. In comparing the smoothed and raw estimates of this parameter, I find that the Bayesian estimates yield a clearer spatial pattern of child mortality with smaller variances in less populated municipalities, thus, more accurately reflecting the true mortality situation of those municipalities. These estimates can then be used, ultimately, to lead to more effective policies and health initiatives in the fight for the reduction of child mortality in Brazil.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subject Child mortality
dc.subject Brazil
dc.subject Bayesian statistics
dc.subject Spatial smoothing
dc.title Municipal-level estimates of child mortality for Brazil : a new approach using Bayesian statistics
dc.date.updated 2010-12-14T19:08:22Z
dc.contributor.committeeMember Powers, Daniel A.
dc.contributor.committeeMember Pullum, Thomas W.
dc.contributor.committeeMember Schmertmann, Carl P.
dc.contributor.committeeMember Assunção, Renato M.
dc.description.department Sociology
dc.type.genre thesis
dc.type.material text
thesis.degree.department Sociology
thesis.degree.discipline Sociology
thesis.degree.grantor University of Texas at Austin
thesis.degree.level Doctoral
thesis.degree.name Doctor of Philosophy

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