Objective: The objective of the paper is to reconcile the data from the different periods in order to determine the trend in infant mortality in Colombia over the entire period since 1979.
Methodology: All available data on life births and on infant deaths were aggregate to level of Department (State/Province), providing a series for the first and third periods. A linear regression model estimating the general relationship IM=αeβt where α is the projected initial level of IM, and β is the average rate of IM decline. Estimates were applied to each Department and to all combined, assuming fixed effects across Departments and for each of the two series.
Results: The regression estimates suggest that the two series can be aligned and the IM rates for the intermediate period approximated accordingly, so to give a consistent rate of decline in IM for the entire period. This is achieved mainly by eliminating, for each period, Departments with high levels of variations in IM, suggesting bad data and denoted by R2<0.2, and “too low” variations, suggesting “too good” data and denoted R2>0.8.
Learning Objectives: Identify the potential fixed data for a more consistent Infant Mortality Rate trend by using combinations of regional data within the regression model.