Evaluation of Statistical Matching and Selected SAE Methods

The book "Evaluation of Statistical Matching and Selected SAE Methods" by Verena Puchner offers a comprehensive analysis and comparison of statistical matching methods and selected Small Area Estimation (SAE) methods. It examines how the estimation of poverty at the regional level, based on EU-SILC samples, can be improved through the integration of microcensus data. The author aims to identify the best method for estimating poverty that exhibits both low bias and low variance. To achieve this, variables of interest are imputed into the microcensus datasets, utilizing regression models and selected unit-level SAE methods. The results of these methods are evaluated in terms of their accuracy and efficiency to optimize the estimates of poverty indicators.