Spatial Analysis of Unemployment Rate with Literacy Rate and Socioeconomic Development Index for cities of Turkey

Abstract

The objective of the study is to investigate the spatial pattern of unemployment rate with socio economic development index (SDI) and literacy rate for 81 cities of Turkey and also the spatial correlation between these variables. To observe spatial pattern of the considered variables, we firstly utilize mapping analysis. Then, statistic of spatial autocorrelation, known as Moran's I, is employed. It was found that while there is a positive and significant global Moran's I value for unemployment rate with SDI, the negative Moran's I is observed between unemployment rate and literacy rate. Results of mapping and spatial correlation analysis show that there is spatial clustering of unemployment rate, literacy rate and SDI of 81 cities of Turkey. Moreover, we consider classical linear and spatial regression analysis to model unemployment rate. It was found that the spatial error model is the best for modeling unemployment rate.