This paper develops a new imputation methodology applied to missing incomes values in PNAD. PNAD is the main Brazilian household survey, but it has no imputation. The imputation process starts by fitting regression models applied to different income sources considering the complex sampling...

This paper develops a new imputation methodology applied to missing incomes values in PNAD. PNAD is the main Brazilian household survey, but it has no imputation. The imputation process starts by fitting regression models applied to different income sources considering the complex sampling...

Statistical matching methods permit to integrate two or more data sources with the purpose of investigating the relationship between variables not jointly observed. Recently these methods received much attention as valid alternative to produce new statistical outputs.The paper provides an...

This paper examines the sample proportions estimates in the presence of univariate missing categorical data. A database about smoking habits (2011 National Addiction Survey of Mexico) was used to create simulated yet realistic datasets at rates 5% and 15% of missingness, each for MCAR, MAR and...

This paper examines the sample proportions estimates in the presence of univariate missing categorical data. A database about smoking habits (2011 National Addiction Survey of Mexico) was used to create simulated yet realistic datasets at rates 5% and 15% of missingness, each for MCAR, MAR and...

This paper presents the multiple imputation model for the imputation of the missing values of the Austrian Household Survey on Housing Wealth 2008. It is based on Bayesian inference and on the fully conditional specification approach. Both theoretical framework and model specification are...