A qualitative analysis of unemployment in Spain

Abstract

This paper analyzes the demographic characteristics of unemployment in Spain using individual household data. Binary-Logit models are estimated for three microdata sets at different periods of time, which should allow to detect possible compositional changes in unemployment over time. The results indicate that characteristics such that age, education level and marital status are relevant to explain differences in unemployment, while the variable sex has little explanatory power. The estimated models are used to predict unemployment probabilities as a function of individual characteristics.