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Annual Gross Domestic Product (GDP) for Nigeria using observed annual time-series data for the period 1981-2012 was studied. Five different econometric disaggregation techniques, namely the Denton, Denton-Cholette, Chow-Lin-maxlog, Fernandez, and Litterman-maxlog, are used for quarterisation. We made use of quarterly Export and Import as the indicator variables while disaggregating annual into quarterly data. The time series properties of estimated quarterly series were examined using various methods for measuring the accuracy of prediction such as, Theil's Inequality Coefficient, Root Mean Squared Error (RMSE), Absolute Mean Difference (MAD), and Correlation Coefficients. Results obtained showed that export and import are not good indicators for predicting GDP for Nigeria is concerned for the period covered. Denton method proved to be the worst using Mean Absolute Difference (MAD) and Theil's Inequality Coefficient. However, RSME% and Pearson's correlation coefficient gave robust values for Litterman-maxlog, thereby making it the best method of temporal disaggregation of Nigeria GDP.

This study examined the awareness level and attitude of family planning among rural dwellers in the South western part of Nigeria and its consequences on population/economy of Nigeria. Data were gathered from 300 respondents who were randomly selected from Seriki rural communities of western Nigeria using proportional allocation of the stratified random sampling technique. The research considered to know the level of awareness between the traditional family planning methods and modern methods of contraception. The modern methods were found to be more significantly embraced than traditional family planning methods based on the analysis of the result obtained which showed that 175% preferred modern methods while 125% preferred traditional methods. The factors considered in examining these are educational background, economic factors, marital status, social factor, ethnicity and illiteracy level; the data collected based on these factors are analyzed using principal component analysis technique in order to determine the most prevalent factor that causes attitudinal problems. The results give rise to the Eigenvalues and Eigenvectors of the components, whereby the variance proportion for each is given as 0.4844, 0.2391, 0.1480, 0.0597, 0.0461 and 0.0227 for economics, educational background, ethnicity, illiteracy, marital status and social status respectively, thereby qualifying the factors as the first PC, second PC, third PC, fourth PC, fifth PC and sixth PC respectively. Thus, economic factor which is the first PC is the factor that is predominantly responsible for the discovered low level of awareness and poor attitudinal behavior towards family planning.