LISS Income Imputations
Course Project · Survey Data Analysis
Missing Data
Multiple Imputation
Survey Data
Comparing single versus multiple imputation in a high-dimensional LISS panel dataset, illustrating trade-offs between computational simplicity and statistical rigor.
As part of a course on Survey Data Analysis, I compared stepwise (single) imputation with multiple imputation in a high-dimensional dataset. This project illustrated the trade-offs between computational simplicity and statistical rigor, and showed me the practical challenges of handling missing data when many variables are involved.