Application of Multilevel Models in Geography: Example of Unemployment

Application of Multilevel Modeling in Geography: Example of Unemployement Abstract Multilevel models are an effective methodological tool for analyzing hierarchically structured data. It is a quantitative method based on regression analysis whose use in geography is currently not so widespread. In view of this fact this work is aimed especially at a detailed introduction of the statistical method of multilevel modeling, including both an introduction to all its possibilities and limitations, as well as an example of application of this method in the specific geographic research from the area of unemployment. The purpose of this analysis is to identify particular individual and regional variables related to unemployment and to uncover the effect of these variables on unemployment. Keywords: multilevel modeling, quantitative methods, unemployment, Czechi