NOTES ON THE ESTIMATORS PROPERTIES IN CASE OF IMPUTED DATA SETS (Uwagi na temat wlasnosci estymatorow wyznaczanych na bazie niepelnych danych)

• Authors: Zmyslona Beata
• Languages of publication: PL

Abstracts

EN

In current surveys practice the most common method for handling non-response item is simple imputation. The simple imputation methods are the prediction methods for missing data. The imputed values are treated as if they were observed. This results in under or overestimation of the estimator variance, especially if the missing data mechanism is non-random. Simple imputation is inappropriate when the goal is to construct test statistics and confidence of intervals. The paper shows examples of the impact of imputation on the estimates properties. One solution is to use multiple imputation methods that take into account the so-called imputation error.

Keywords

EN

IMPUTATION ERROR; MATRIX OF LOST INFORMATION AS A RESULT OF MISSING DATA; MULTIPLE IMPUTATION; STATISTICAL INFERENCE IN CASE OF IMPUTED DATA

Discipline

• ECONOMICS: ECONOMICS

• Publisher: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
• Journal: Econometrics. Ekonometria. Advances in Applied Data Analytics
• Year: 2011
• Issue: 30 (Zastosowania metod ilościowych)
• Pages: 83-93
• Document type: ARTICLE

Contributors

author

Zmyslona Beata

• Beata Zmyslona, Uniwersytet Ekonomiczny we Wroclawiu, Katedra Statystyki, ul. Komandorska 118/120, 53-345 Wroclaw, Poland

Identifiers

CEJSH db identifier

11PLAAAA107819