On the distribution of information in the moment structure of DSGE models
AbstractThere is a long tradition in macroeconomics of using selected moments of the data to determine empirically relevant values of structural parameters. This paper presents a formal approach for evaluating the implications of DSGE models for the distribution of information in the moment structure of their variables. Specifically, it shows how to address the following questions: (1) what are the efficiency gains from using more instead of fewer moments; (2) what is the efficiency loss from assigning suboptimal weights on the used moments; and (3) which particular dimensions of the data - first and second order moments in the time domain, and sets of frequencies in the fre quency domain - are most informative about individual structural parameters. The analysis is based on the asymptotic properties of maximum likelihood and moment matching estimators and is simple to perform for general linearized models. A standard real business cycle model is used as an illustration.
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Bibliographic InfoPaper provided by Society for Economic Dynamics in its series 2013 Meeting Papers with number 339.
Date of creation: 2013
Date of revision:
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Postal: Society for Economic Dynamics Christian Zimmermann Economic Research Federal Reserve Bank of St. Louis PO Box 442 St. Louis MO 63166-0442 USA
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This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-10-18 (All new papers)
- NEP-DGE-2013-10-18 (Dynamic General Equilibrium)
- NEP-ECM-2013-10-18 (Econometrics)
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