Modeling approach to Evade Flaws in Myers’ Method

Every researcher while doing any socio demographic project or even in the censuses of many countries, especially in the developing world at an initial stage use to focus on the data quality. As per the present context of the paper, obviously age reporting error is significant to manifest either in the census or project report based on the data either from census or sample. Usually Myers’ index (1940), to a large extent, has been given in those records and reports. Sometimes Whipple’s index (1920) has also been presented in some reports. An attempt has been made to control the many kind of flaws in Myers’ method which were proposed by Bachi (1951), Ramachandran, (1965) and others at different time. The current technique solely is an exercise to show how the many defects at a single attempt and time point are eradicated by utilization of some mathematical model. The corrected Indices are then compared with the original Myers’. The disparity indices for male and female populations are then estimated by forming disparity coefficients in order to have the quantity of error committed while calculating Myers’ index and final discussion has been made.