Fertility Level, Trend and Differentials in Nigeria: A Multivariate Analysis Approach

Chijioke J. Nweke¹, George C. Mbaeyi^1, , Kelechi C. Ojide¹ and Chukwunenye I. Okonkwo¹

¹Department of Mathematics/Computer Science/Statistics, Alex Ekwueme Federal University Ndufu-Alike, Nigeria

Cite this paper

Chijioke J. Nweke, George C. Mbaeyi, Kelechi C. Ojide and Chukwunenye I. Okonkwo. Fertility Level, Trend and Differentials in Nigeria: A Multivariate Analysis Approach. American Journal of Applied Mathematics and Statistics. 2019; 7(6):231-236. doi: 10.12691/AJAMS-7-6-5

Abstract

We present an empirical approach to changes in some fertility measures using multivariate profile analysis to determine level, trend and differences in fertility measures in Nigeria. ASFR, TFR and MNCEB was studied with respect to residency for three time points. Results obtained showed strong evidence of mean differences in TFR across zones with both ASFR, TFR and MNCEB showing no interaction with respect to residency. Various profile plots and tests showed evidences of parallelism for all the fertility measures considered. Some implications and suggestions with regards to policy formulation were also given.

Keywords

profile, changes, rates, profile analysis, fertility

Copyright

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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