This paper uses a new non-parametric, unconditional, hyperbolic order-α quantile estimator to construct a hyperbolic version of the Malmquist index. Unlike traditional non-parametric efficiency estimators, the new estimator is both robust to data outliers and has a root-n convergence rate. We use this estimator to examine changes in the efficiency and productivity of U.S. banks between 1985 and...

In this research we employ data envelopment analysis (DEA) to measure the Malmquist productivity of semiconductor packaging and testing firms in Taiwan from 2000 to 2003. Malmquist productivity has three components: the measurement of technical change, the measurement of the frontier forward shift, and the measurement of the frontier backward shift of a company over two consecutive periods. Thi...

This study examines the productivity growth of the nationwide banks of China over the ten years to 2006. Using a bootstrap method for the Malmquist index estimates of productivity growth are constructed with appropriate confidence intervals. The paper adjusts for the quality of the output by accounting for the non-performing loans on the balance sheets and test for the robustness of the results...

The goal of this study examines the quantitative implications of the Malmquist index in a standard Real Business Cycle (RBC) model as a measure of technology shock. To achieve this, the paper first investigates the empirical validity of the equivalence proposition on the two technology shock measures: a relatively new Malmquist Index and the predominant Solow residual. On the basis of permutati...

This paper ranks the pension funds management companies according to their change in total productivity for the period 1994–2007. We estimate the change in total productivity, breaking this down into technically efficient change and technological change by means of data envelopment analysis (DEA-Malmquist index). The aim of this procedure is to seek out those best practices that will lead to im...

This paper talks about the measurement of efficiency and productivity of non-life insurance firms in India. This study is focused on twelve private non-life insurance firms and four public sector non-life insurance firms of India in the period 2008-09 to 2012-13. Data Envelopment Analysis (DEA) coupled with Malmquist productivity Index is used in measuring the efficiency as well as productivity...