👉 Non-imputativeness is a concept in statistics and econometrics that refers to the degree of uncertainty or bias present in a dataset. In other words, it describes how much information an estimator depends on missing data. Non-imputative models (also known as imputed datasets) are used when the actual values of the dependent variable are not available. The goal is to estimate the effect of missing data by imputing the value that would have been observed in a given sample, based on other
