Browsing by Subject "Kriminalstatistik"
Now showing 1 - 1 of 1
- Results Per Page
- Sort Options
Publication Modelling of spatial effects in count data(2017) Glaser, Stephanie; Jung, RobertIn this thesis, spatial structures in discrete valued count observations are modelled. More precisely, a global spatial autocorrelation parameter is estimated in the framework of a nonlinear count data regression model. For this purpose, cross-sectional and panel count data models are developed which incorporate spatial autocorrelation and allow for additional explanatory variables. The proposed models include the so-called "Spatial linear feedback model" for cross-sectional data as well as for panel data including fixed effects, which is estimated using maximum likelihood estimation. Additionally, two approaches for a distribution-free panel estimation using GMM are presented. The models are applied to a cross-sectional U.S. start-up firm births data set and a panel data set with crime counts from Pittsburgh.