traces_event


       A dataset with micro-level data to generate contextual indicator of risk of war victimization by aggregation.
The dataset consists of 243110 cases and three variables.
The cases are individuals by three-month time periods.<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

traces_event function

The dataframe contains the following columns: <code>area</code> - context ID variable, ranges from 1 to 80 <code>w_all</code> - experience of a war event (0 - no, 1 - yes) <code>weight</code> - design weights 

Format

TRACES dataset. Full  TRACES datasets can be accessed through the Data and Research Information
Services from the Swiss Foundation for Research in the Social Sciences (www.unil.ch/daris).

traces_event: Dataset traces_event

Description

Usage

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