About this document

Laura Howe by vikas kumar is a document available to read on EtoBox.

The document discusses the use of Principal Components Analysis (PCA) to construct a wealth index from correlated variables, highlighting its data reduction capabilities and the challenges of using dummy variables for categorical data. It compares different methods of handling categorical variables in PCA, demonstrating that the choice of method can significantly affect the resulting wealth index. The authors suggest treating ordinal variables as continuous or using Multiple Correspondence Analysis (MCA) as

Author

vikas kumar

Language

EN