The study demonstrates high accuracy in variance estimation in survey data, suggesting robustness across various disaggregations and timeframes.
This study addresses the challenge of estimating variances in household surveys, particularly when sampling design variables are absent in publicly available microdata. By implementing the Generalized Variance Function (GVF), Colombia's Household Survey for 2022 serves as a case study. GVF models were developed and validated using the standard errors published by the National Administrative Department of Statistics (DANE) of Colombia. These models demonstrated high accuracy and robustness for estimates across various levels of disaggregation and periodicities. Additionally, their validation with 2023 data confirmed their predictive capacity and applicability in similar contexts, underscoring their effectiveness as tools for evaluating the quality of estimates in complex surveys.
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Díaz et al. (2025) studied this question.
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