Rheumatoid arthritis (RA) is a chronic, debilitating inflammatory, progressive musculoskeletal disease that affects 0.5-1.0% of the adult population in Western countries. The joint destruction and progressive functional disability associated with uncontrolled RA result in tremendous impacts on health-related quality of life, ability to work, and mortality. In addition, the treatment of the disease and associated complications exact a substantial economic burden to the patients, their families, and society. In the last decade, several biological agents (biologics) have been approved for use in RA, revolutionizing treatment. These biologics, which target cytokines such as tumor necrosis factor or lymphocytes such as B or T cells, reduce functional disability and substantially slow the progression of joint damage. However, because these agents typically cost ten to 100 times more than existing available older drug therapies, there has been worldwide concern regarding their impact on healthcare budgets. As such, there has been increased attention towards economic evaluation as a means to determine whether, and in which subgroup of patients, these newer, more expensive agents confer appropriate value for their additional cost. Indeed, evaluations have guided coverage decisions for both private and public health insurance agencies such as the National Institute for Health and Clinical Excellence in the UK. The use of economic evaluations to determine value for money for these agents has attracted both debate and controversy. Some of the controversy is related to the appropriateness of the structure of, and assumptions underlying, the decision models employed to estimate the long-term costs and benefits of these agents over existing therapies. To fully appreciate the debate, one must first understand the basic principles of economic evaluation and the necessity for using decision models to evaluate cost effectiveness. To understand the basic principles of economic evaluation, we refer the reader to an introductory article aimed at clinical rheumatologists. This paper attempts to explain the rationale for the use of economic modeling approaches to assess the value of biologics for RA using specific examples from the literature.