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. (2013). Object-Oriented Bayesian Network to deal with measurement error in household surveys. In Cladag 2013. 9th Meeting of the Classification and Data Analysis Group. Book of Abstracts (pp.296-299). CLEUP.
Object-Oriented Bayesian Network to deal with measurement error in household surveys
MARELLA, Daniela;VICARD, Paola
2013-01-01
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 discussedFile in questo prodotto:
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