The measurement of foreign indebtedness in the selected transition countries (multivariate and multicriterial analysis) using SPSS and Decision Lab Softwares

The aim of this paper is statistical analysis of foreign indebtedness in the selected transition countries using appropriate software support. The paper stress out the benefit of using SPSS and Decision Lab in the process of education and research. There is a constant evidence of the growth of the foreign indebtedness in all the countries in transition, both EU member states and (pre)accession countries. The status and trends of external debt are important indicators of potential macroeconomic problems, determining that the management of foreign debt should be a task for all governments. After appropriate testing, classification of selected countries in transition (Bosnia and Herzegovina, Croatia, Czech, Estonia, Hungary, Latvia, Latvia, Macedonia, Poland, Slovenia) is done using multivariate cluster analysis (SPSS) according to the key indicators of the state and trends of foreign indebtedness. In addition, ranking (Decision Lab) of those countries will be done in relation to the indebtedness indicators by the multicriteria analysis method. Comparative analysis of the results will be also done. The additional advantage of such analysis is that classification and ranking can be done for all countries, based on all indicators of external indebtedness at the same time using SPSS and Decision Lab software.