In this paper, both maximum likelihood and Bayesian estimators for a partially accelerated step-stress life test model are considered using type II censored data from Pareto distribution of the second kind. The posterior means and posterior variances are obtained under the squared error (SE) loss function using Lindley's approximation procedure. The maximum likelihood estimators and analogous Bayes estimators are compared in terms of their mean-square errors based on simulated samples from Pareto distribution.