A composite likelihood approach for dynamic structural models
Fabio Canova () and
No 13245, CEPR Discussion Papers from C.E.P.R. Discussion Papers
We describe how to use the composite likelihood to ameliorate estimation, computational, and inferential problems in dynamic stochastic general equilibrium models. We present a number of situations where the methodology has the potential to resolve well-known problems and formally justifies existing practices. In each case we consider, we provide an example to illustrate how the approach works and its properties in practice.
Keywords: composite likelihood; dynamic structural models; identification; large scale models; panel data; singularity (search for similar items in EconPapers)
JEL-codes: C10 E27 E32 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at firstname.lastname@example.org
Working Paper: A composite likelihood approach for dynamic structural models (2018)
Working Paper: A Composite Likelihood Approach for Dynamic Structural Models (2018)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:13245
Ordering information: This working paper can be ordered from
http://www.cepr.org/ ... rs/dp.php?dpno=13245
Access Statistics for this paper
More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().