Study of the parameters of Pareto distribution by various statistician examined. However, in most of these studies, a frequentist method is used. The aim of this article is the use of appropriate prior distributions for parameters of Pareto distribution and estimating the parameters via a Bayesian approach. We choose two conjugate priors for parameters and estimate them. Then, we compute variance of estimators and compare them with a frequentists approach. Finally, we compare our results with those of a frequentists method for analysing a real data set.