Review on Data impediments to empirical work on health insurance Article

Review on Data impediments to empirical work on health insurance markets paper - Article Example it is found out that majority of the publicly available sources of data, that is commonly used by researchers are to carry out their study on the health insurance market shares, is unreliable. These data sources are said to portray great variability over the years and are relative to both a rational prior and to the inconsistency demonstrated in the health sectors discharge data. These data sources assume merger activities from specialized and from high professional findings. Their unreliability to the studying competition in the health insurance sector is revealed in their character to omit significant components of the market. Such omitted components may include the self-insured health plans. The article considers the private insurance industry that plays a more significant role in the health care sector in the United States. A large number of individuals in U.S purchase private insurance plans. Another significant number of individuals are covered through Medicaid while they are still enrolled in the private plans. The article compared the elderly people in U.S to the nonelderly. It was revealed that majority of the nonelderly individuals opt for the private insurance plans while 95 % of the elderly people are enrolled to the Medicare. Although a few numbers of the nonelderly are enrolled to the Medicaid, they are also found to have enrolled into the private plans. Only a quarter of the elderly people opt for the private insurance plans (Leemore et al. 11). According to this paper, the antitrust analysts and researchers cannot generate an accurate empirical analysis of competition in the health insurance industry through the use of a readily available market share data. These differences in shares and the concentration reported within different data sources would force researchers to choose among the competing data sets. The doubtfully high unpredictability within the data sets suggests