This study aims to analyze the efficiency level of conventionalcommercial banks and Islamic commercial in Indonesia fromthe first quarter 2018 - fourth 2020. researchperiod is third year with data used are 12 anduses a quantitative approach. The method this research isStochastic Frontier Analysis (SFA). results thatconventional more efficient than Islamiccommercial both before COVID-19 pandemic...

This dissertation applies the Bayesian approach as a method to improve the estimation efficiency of existing econometric tools. The first chapter suggests the Continuous Choice Bayesian (CCB) estimator which combines the Bayesian approach with the Continuous Choice (CC) estimator suggested by Imai and Keane (2004). Using simulation study, I provide two important findings. First, the CC estimato...

The study analyzed the cost efficiency of a subset Nigerian listed financial firms and looked at impact corporate governance on enterprises. Additionally, it evaluated how affected chosen organizations in Nigeria taking into consideration capital structure efficiency. They were with intention supplying details interactions between structure, governance, number 2005 2020 which is post-consolidat...

China’s banking system has a relatively high level of state control, while an important task in regulating the is to manage profitability banks. Using stochastic frontier approach assess commercial banks not only allows for bank’s ability generate profits relative leading industry be assessed but also takes into account specifics management technologies used and influence market environment. Th...

This paper aims to estimate a translog stochastic frontier production function in the analysis of a panel of 150 mixed Catalan farms in the period 1989-1993, in order to attempt to measure and explain variation in technical inefficiency scores with a one-stage approach. The model uses gross value added as the output aggregate measure. Total employment, fixed capital, current assets, specific co...

Parametric stochastic frontier models have a long history in applied production economics, but the class of tractible parametric models is relatively small. Consequently, researchers have recently considered non–parametric alternatives such as kernel density estimators, functional approximations, and data envelopment analysis (DEA). The purpose of this paper is to present an information theoret...