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...

window analysis is a known technique to evaluate performance during the time periods based on data envelopment analysis. in application of window analysis is assumed that efficient frontier have not changed during the periods in the study. unlike the window analysis, malmquist index tries to identify difference between efficient frontiers and separated them. but the means of different frontier ...

Malmquist Productivity Index (MPI) is a numeric index that is of great importance in measuring productivity and its changes. In recent years, tools like DEA have been utilized for determining MPI. In the present paper, some models are recommended for calculating MPI when there are just ratio data available. Then, using DEA and DEA-R, some models are proposed under the constant returns to scale ...

This stuely aflempts to measure the prodllctivi~y of Ihe life insurance inelustry by employing the non-parametric Malmquist Index approach. The ]inding shows that despite the productivity growth in the insurance industry, it is relatively loll' compared to the real economic growth experienced by Malaysia. Like the mallufacllfring sectol; thefurure growth of this indusll~y 1V0uld depend on its a...

The paper assesses the extent to which sampling variation affects findings about Malmquist productivity change derived using Data Envelopment Analysis (DEA), in the first stage calculating productivity indices and in the second stage investigating the farm-specific change in productivity. Confidence intervals for Malmquist indices are constructed using Simar and Wilson’s (1999) bootstrapping pr...