homog_census


A dataset with an indicator of ethnic homogeneity in TRACES areas of former Yugoslavia, calculated on the basis of national censuses and official estimates from 2000 to 2006. It should be used as a precise contextual indicator in multilevel analyses. <p></p><p>     </p>

Provides tools to construct and exploit spatially weighted context data. Spatial weights are derived by a Kernel function from a user-defined matrix of distances between contextual units. Spatial weights can then be applied either to precise contextual measures or to aggregate estimates based on micro-level survey data, to compute spatially weighted context data. Available aggregation functions include indicators of central tendency, dispersion, or inter-group variability, and take into account survey design weights. The package further allows combining the resulting spatially weighted context data with individual-level predictor and outcome variables, for the purposes of multilevel modelling. An ad hoc stratified bootstrap resampling procedure generates robust point estimates for multilevel regression coefficients and model fit indicators, and computes confidence intervals adjusted for measurement dependency and measurement error of aggregate estimates. As an additional feature, residual and explained spatial dependency can be estimated for the tested models.

Till Junge

spacom

Spatially Weighted Context Data for Multilevel Modelling

homog_census function

The dataframe contains the following columns: <code>area</code> - context ID variable, ranges from 1 to 80 <code>Homog_00</code> - proportion of largest ethnic group in the area 

Format

Our own calculation based on national censuses and official estimates from 2000 to 2006.

homog_census: Dataset homog_census

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