The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The aim of the paper is a comparison of efficiency of Slovak and Czech commercial composite insurance companies by data envelopment analysis (DEA) models. DEA models are non-parametric techniques for evaluation of efficiency and performance of the set of homogenous units based on solving of linear programming problems. The basic idea of DEA models consists in estimation of an efficient frontier that defines production possibility set of the problem. The efficient frontier is estimated from the data set that contains the most important characteristics influencing the efficiency of the units. The units lying on the frontier are considered as efficient and the remaining ones as inefficient. Their efficiency score is measured as a distance from the efficient frontier. The following characteristics are taking into account in our analysis: premium income, other income, insurance claims and operating expenses.