Paper Title
The Frontier of Estimation in Consumption Computing: Evidence from Asean-5 Countries

The purpose to compare the parametric estimation between the Maximum Likelihood Estimator (MLE) and James-Stein Estimator (JSE) is econometrically conducted in this paper. For the methodological terms, the processes in this paper are divided into two sections. Firstly, the experimental part to compare the MLE and JSE for seeking the best fit estimator. This section employs the observations simulated by the bootstrapping approach. For the second process, it is the real econometric application, which collected the variables of consumptions in ASEAN-5 (Thailand, Singapore, Philippines, Malaysia, and Indonesia) to confirm the estimator selected from the former section can be applied in reality. Empirically, the results represented that the JSE is better than the MLE, especially in the case of factor-dimensions increasing. These results are supported by the testing of symmetrical distributions and graphical presentations. Consequently, this is undeniable that the JSE will be the big challenge to trustworthily convince economists for realizing the traditional way are not always fitted for real economic data in the upcoming future. Keywords - Consumptions, ASEAN-5, James-Stein Estimator (JSE), Maximum Likelihood Estimator (MLE)