MULTIPLE IMPUTATION OF MISSING DATA IN SUSTAINABLE DEVELOPMENT MODELLING

Roberto Benedetti, Rita Lima and Alessandro Pandimiglio
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Roberto Benedetti: Universita' degli Studi "G. D'Annunzio"
Rita Lima: Universita' di Palermo, Cirmet

Economia, Societa', e Istituzioni, 2006, vol. XVIII, issue 3

Abstract: 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.

Keywords: LISREL; Markov Chain Monte Carlo; Multiple Imputation; Sustainable Development (search for similar items in EconPapers)
JEL-codes: C15 C51 O10 (search for similar items in EconPapers)
Date: 2007-02
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Persistent link: https://EconPapers.repec.org/RePEc:lui:rivesi:1835

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