Authors : Udoh Edet Joshua and Omonona Bolarin Titus
Abstract: This study discusses the statistical inconsistency in agricultural data sources and its implications for policy formulation in the last three decades. Time series data of some crops output from FOS, FAO, USDA and CBN are statistically analyzed to test the likelihood of data asymmetry among the different sources. The results of the analysis recognize the existence of data asymmetry; among the four data sources for the period under review. This, therefore, makes the estimations based on these different data sources to result in conflicting and contrary estimates and indices as shown in the constant growth rate analysis. The study then concludes by recognizing that analysis on rather inconsistent data series not only systematically fail to predict outcomes correctly but also becomes increasingly obvious that the predictive failure will lead to wrongful policy statements. Therefore, the study recognizes the need for the observed asymmetry to be removed. It calls for actions to be taken to harmonize and unify the different data sources. Hence, there is an urgent need for conducting agricultural census in the country in the new millennium.
Udoh Edet Joshua and Omonona Bolarin Titus , 2007. Asymmetry in Agricultural Data Sources: Implication for Policy Formulation in the Last Three Decades in Nigeria . Pakistan Journal of Social Sciences, 4: 252-260.