SPECIAL ISSUE DECOMPOSITION TECHNIQUES IN AFRICAN DEMOGRAPHIC RESEARCH CALL FOR PAPERS

One of the core interests in demography is the study of population composition, changes therein and the components of such changes. Understanding about the latter (population changes and their components) requires the application of decomposition techniques. There are formal methods specifically designed for these. Undoubtedly, there have been methodological advances in this subject area partly driven by astronomical expansion in computational power and increasing availability of population-based micro data.
Apart from providing clearer understanding about drivers of population dynamics, decomposition of changes or differences in demographic variables have been instrumental in design of population health programmes. It is also useful for evaluation of population/public health evaluations. Ultimately, decomposition techniques are very relevant to deeper understanding about contextual drivers of demographic and health transitions in Africa.
This special issue aims to synthesize methodological and empirical progress in use of decomposition techniques in African Demographic Research. It is also hoped that the special issue will chart new directions for further development in this important subject area.
African Population Studies Journal is an indexed Open Access Journal. It charges a token to offset production costs.
Submission guidelines:
Submissions can be in the form of systematic reviews or original articles showcasing deployment of decomposition techniques in an African country setting. Topics should focus on any demographic, population or public health outcome. Authors are advised to comply with the journal’s guidelines which are available at http://aps.journals.ac.za/pub/about/submissions#onlineSubmissions.
Further enquiries may be addressed to Joshua Akinyemi (joakinyemi@com.ui.edu.ng or odunjoshua@gmail.com) and Arlette Simo-Fotso (simofotsoarlette@yahoo.fr or asimofotso@worldbank.org )
Special issue editors:
Joshua Akinyemi, University of Ibadan, Nigeria
Arlette Simo Fotso, World Bank Group