This article examines statistical inference for R  P Y  X  where X and Y are independent but not
identically distributed Pareto of the first kind (Pareto (I)) random variables with same scale parameter but different
shape parameters. The Maximum likelihood, uniformly minimum variance unbiased and Bayes estimators with
Gamma prior are used for this purpose. Simulation studies which compare the estimators are presented. Moreover,
sensitivity of Bayes estimator to the prior parameters is considered