The Classical Linear Regression Model with one Incomplete Binary Variable

Toutenburg, Helge; Nittner, T. (1999): The Classical Linear Regression Model with one Incomplete Binary Variable. Sonderforschungsbereich 386, Discussion Paper 178

Abstract

We present three different methods based on the conditional mean imputation when binary explanatory variables are incomplete. Apart from the single imputation and multiple imputation especially the so-called pi imputation is presented as a new procedure. Seven procedures are compared in a simulation experiment when missing data are confined to one independent binary variable: complete case analysis, zero order regression, categorical zero order regression, pi imputation, single imputation, multiple imputation, modified first order regression. After a brief theoretical description of the simulation experiment, MSE-ratio, variance and bias are used to illustrate differences within and between the approaches.

• Dokumententyp: Paper (Forschungsbericht)
• Fakultät: Mathematik, Informatik und Statistik > Statistik > Sonderforschungsbereich 386 ; Sonderforschungsbereiche > Sonderforschungsbereich 386
• Themengebiete: 500 Naturwissenschaften und Mathematik > 510 Mathematik
• Sprache: Englisch
• ID: 1566
• Veröffentlicht am: 04. Apr. 2007