The DHS Program User Forum
Discussions regarding The DHS Program data and results
Home » Data » Geographic Data » Sample Weights in Geographically Weighted Regression
Sample Weights in Geographically Weighted Regression [message #13935] Fri, 26 January 2018 10:48 Go to previous message
mcarrel is currently offline  mcarrel
Messages: 2
Registered: November 2017
Member
I would like to use geographically weighted regression techniques to understand how the relationship between covariates and outcomes in the Kenya DHS vary over space (i.e. is the relationship between wealth and health care usage different across clusters). Geographically weighted regression can be done in R but not SAS or Stata and doesn't have built in commands for applying sample weights, only spatial weights. Is there a way to multiply the sample weight by all the covariates and the dependent variable and then incorporate this new, already weighted, data into the geographically weighted regression environment?
 
Read Message
Read Message
Previous Topic: Spatial Data Repository Geospatial Covariates
Next Topic: cluster-level data for spatially modeled map surfaces for recent population-based survey
Goto Forum:
  


Current Time: Thu Apr 25 19:14:59 Coordinated Universal Time 2024