@article{kantar2016spatial,
  title = {Spatial Correlation Analysis of Unemployment Rates in Turkey},
  author = {Yeliz Mert Kantar and Semra Günay Aktaş},
  year = 2016,
  url = {https://ibimapublishing.com/articles/JEERBE/2016/136996/},
  journal = {Journal of Eastern Europe Research in Business and Economics},
  volume = (2016),
  pages = 9,
  doi = 10.5171/2016.136996,
  abstract = {The objective of the study is to investigate the spatial patterns of regional unemployment rates for the periods 2004, 2011, 2012 and 2013 at the province level in Turkey using local and global spatial autocorrelation statistics, and also by mapping analysis. To observe spatial patterns of the unemployment rate, we firstly utilize mapping analysis. After this, spatial statistics tools are employed. It was found that there is a significant neighboring effect among unemployment rates at the provincial level in Turkey over time. This means that neighboring provinces in Turkey have similar values in terms of unemployment rates, suggesting some spatial dependency at provincial level. In addition, as years pass, this similarity can be clearly seen. In particular, the spatial spread of unemployment rates over time indicates the need for urgent action on the unemployment problem in the east of Turkey.},
  keywords = {Unemployment; mapping analysis; Local and global Moran’s I; spatial autocorrelation.},
  note = Article ID: 136996
}