Testing for Model Selection in Predicting Aggregate Variables
AbstractThis paper focuses on the choice between aggregate and disaggregate models, consisting of both univariate and multivariate specifications, in predicting aggregate variables. A formal hypothesis testing procedure for in-sample model selection is suggested. The empirical size and power of the test are investigated via the use of Monte Carlo simulations. Empirical results show that the test has good performance not only when the competitive models are non-nested specifications, but also when considering nested competitors.
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Bibliographic InfoArticle provided by GDE (Giornale degli Economisti e Annali di Economia), Bocconi University in its journal Giornale degli Economisti e Annali di Economia.
Volume (Year): 66 (2007)
Issue (Month): 1 (March)
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Find related papers by JEL classification:
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
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