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Multiple Imputation Of Missing Data In Sustainable Development Modelling

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Author Info

  • Roberto Benedetti

    (Universita' degli Studi "G. D'Annunzio")

  • Rita Lima

    (Universita' di Palermo, Cirmet)

  • Alessandro Pandimiglio

    ()
    (Universita' degli Studi "G. D'Annunzio" e LUISS Guido Carli)

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.

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Bibliographic Info

Article provided by Dipartimento di Economia e Finanza, LUISS Guido Carli in its journal Economia, Societa', e Istituzioni.

Volume (Year): XVIII (2006)
Issue (Month): 3 ()
Pages:

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Handle: RePEc:lui:rivesi:1835

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Keywords: LISREL; Markov Chain Monte Carlo; Multiple Imputation; Sustainable Development;

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