Multiple Imputation Of Missing Data In Sustainable Development Modelling
AbstractA 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 InfoArticle provided by Dipartimento di Economia e Finanza, LUISS Guido Carli in its journal Economia, Societa', e Istituzioni.
Volume (Year): XVIII (2006)
Issue (Month): 3 ()
LISREL; Markov Chain Monte Carlo; Multiple Imputation; Sustainable Development;
Find related papers by JEL classification:
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- O10 - Economic Development, Technological Change, and Growth - - Economic Development - - - General
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