Object-oriented bayesian networks for modelling the respondent measurement error

Daniela Marella and Paola Vicard ()

No 167, Departmental Working Papers of Economics - University 'Roma Tre' from Department of Economics - University Roma Tre

Abstract: In this paper Object-Oriented Bayesian networks are proposed as a tool to model measurement errors in a categorical variable due to respondent. A mixed measurement error model is presented and an Object-Oriented Bayesian network implementing such a model is introduced. The insertion of evidence represented by the observed value and its propagation throughout the network yields for each unit the probability distribution of the true value given the observed. Two methods are used to predict the individual true value and their performance is evaluated via simulation.

Keywords: Bayesian networks; Measurement errors; Respondent Error. (search for similar items in EconPapers)
JEL-codes: C11 C18 C80 C83 (search for similar items in EconPapers)
Date: 2012-11
New Economics Papers: this item is included in nep-ecm
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Persistent link: https://EconPapers.repec.org/RePEc:rtr:wpaper:0167

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