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Choosing the variables to estimate singular DSGE models

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  • Canova, F.
  • Ferroni, F.
  • Matthes, C.

Abstract

We propose two methods to choose the variables to be used in the estimation of the structural parameters of a singular DSGE model. The first selects the vector of observables that optimizes parameter identification; the second the vector that minimizes the informational discrepancy between the singular and non-singular model. An application to a standard model is discussed and the estimation properties of different setups compared. Practical suggestions for applied researchers are provided.

Suggested Citation

  • Canova, F. & Ferroni, F. & Matthes, C., 2013. "Choosing the variables to estimate singular DSGE models," Working papers 461, Banque de France.
    • Handle: RePEc:bfr:banfra:461
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    References listed on IDEAS

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    More about this item

    Keywords

    ABCD representation; Identification; Density ratio; DSGE models.;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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