I am currently facing a set of data with missing values. I would like to impute these values with a Hot Deck. I have read upon the Hot Deck methods and decided to use Nearest Neigbour Hot Deck (NNHD) where k = 1. Additionally, I am using the Gower Distance to compute the similarity because my data set includes mixed data. I know that my data and its observations are split into donor and recipient.
I am sadly struggling to understand one thing. The NNHD imputes a missing value within a feature with a value from a donor within the same feature. Is the now imputed value going to be used for imputation within that feature? Or are only the "real" observed values used?