In this paper we propose to use the Object-Oriented Bayesian Networks architecture to model measurement errors in the Italian Survey on Household Income and Wealth (SHIW) 2008 when the variable of interest is categorical. The network implemented is used to stochastically impute micro data for households. Potentialities and possible extensions of this approach are discussed.
Marella, D., Vicard, P. (2015). Object-Oriented Bayesian Network to Deal with Measurement Error in Household Surveys. In T.M. I. Morlini (a cura di), Advances in Statistical Models for Data Analysis (pp. 157-164). Springer International Publishing Switzerland [10.1007/978-3-319-17377-1_17].
Object-Oriented Bayesian Network to Deal with Measurement Error in Household Surveys
MARELLA, Daniela;VICARD, Paola
2015-01-01
Abstract
In this paper we propose to use the Object-Oriented Bayesian Networks architecture to model measurement errors in the Italian Survey on Household Income and Wealth (SHIW) 2008 when the variable of interest is categorical. The network implemented is used to stochastically impute micro data for households. Potentialities and possible extensions of this approach are discussed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
