Assessing the Efficiency of Defined Benefit Private and Public Pension Plans using Data Envelopment Analysis Adjusted Estimator

Abstract

This study uses data envelopment analysis (DEA) adjusted estimator to assess the efficiency of defined benefit private and public pension plans in the Republic of Congo. We also incorporate the industry fund in the assessment. The authors apply constant return to scale (CRS) adjusted estimator input and output orientation. In input orientation, we intellectualize efficiency as the ability of defined benefit pension funds to reduce costs, whereas assets remain constant. In output orientation, we conceive efficiency as raising the return on investment in existing contribution, administrative, and investment cost capacities. CRS-adjusted scores depict that the defined benefit private pension fund is on the efficient frontier regarding its input and output. The defined benefit public and industry pension funds are off the efficient frontier. Hence the private sector ranked first, is more efficient than the public sector, ranked third. The industry sector is less efficient compared to the private sector but more efficient than the public sector. As far as efficiency studies are concerned, this study is the first in sub-Saharan Africa to use the DEA-adjusted estimator to assess the efficiency of defined benefit pension funds.