Tag: Missing Data

Missing data econometrics presents a fundamental challenge in empirical research. This article outlines 5 powerful techniques such as imputation, deletion, and machine learning strategies to handle incomplete datasets in econometric models. Introduction to Missing Data Econometrics Missing data econometrics refers to the application of statistical and computational techniques to deal with gaps or incomplete observations…