Although the determinants of crime rates have been widely studied in the literature, previous studies have not taken into account the existence of outliers that may affect the estimation accuracy. In this study, socioeconomic determinants of crime rates against property and people were investigated using Path analysis based on both classical and robust (MM-estimator) approaches. Findings present that unemployment and migration rates are effective on crime rates against people according to both estimation approaches. However, crime rates against property are only affected from migration rates with regards to the classical approach, whereas income and unemployment rates are unique significant determinants according to the robust approach.
CITATION STYLE
Yorulmaz, Ö., & Giray Yakut, S. (2017). Türkiye’de Suç Oranını Et kileyen Sosyoekonomik Faktörlerin İncelenmesi: Path Analizine Dayanıklı Yaklaşım. M U Iktisadi ve Idari Bilimler Dergisi, 307–322. https://doi.org/10.14780/muiibd.329943
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