MULTIPLE IMPUTATION OF MISSING DATA IN SUSTAINABLE DEVELOPMENT MODELLING

A multiple imputation technique is proposed to measure sustainable development using models of structural equations (LISREL) for the treatment of missing data. The reliability of such technique is verified comparing the estimation model with missing data to the estimation model with imputed data. The results show that the missing data problem significantly affect the estimation.

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Year of publication:	2007-02
Authors:	Benedetti, Roberto ; Lima, Rita ; Pandimiglio, Alessandro
Published in:	Economia, Societa', e Istituzioni. - Dipartimento di Economia e Finanza (DEF). - Vol. XVIII.2006, 3
Publisher:	Dipartimento di Economia e Finanza (DEF)
Subject:	LISREL \| Markov Chain Monte Carlo \| Multiple Imputation \| Sustainable Development

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Extent:	application/pdf
Type of publication:	Article
Classification:	C15 - Statistical Simulation Methods; Monte Carlo Methods ; C51 - Model Construction and Estimation ; O10 - Economic Development. General
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005700789