Statistical Versus Economic Output Gap Measures: Evidence from Mongolia
Tara Sinclair and
Julia Bersch
Additional contact information
Julia Bersch: International Monetary Fund
Working Papers from The George Washington University, Institute for International Economic Policy
Abstract:
This paper compares the output gap estimates based on a number of different methods. We take advantage of the unique properties of the Mongolian economy in order to evaluate the different approaches. We find that an economic measure derived from a Blanchard and Quah-type joint model of output and inflation provides a more robust estimate of the output gap than the traditional statistical decompositions.
Keywords: Blanchard-Quah Decomposition; Nonmineral GDP; Hodrick-Prescott Filter; Christiano-Fitzgerald Filter (search for similar items in EconPapers)
JEL-codes: C22 C32 E32 (search for similar items in EconPapers)
Pages: 14 pages
Date: 2013-08
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.gwu.edu/~iiep/assets/docs/papers/Sinclair_IIEPWP2013-7.pdf (application/pdf)
Related works:
Journal Article: Statistical versus economic output gap measures: evidence from Mongolia (2014) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gwi:wpaper:2013-7
Access Statistics for this paper
More papers in Working Papers from The George Washington University, Institute for International Economic Policy Contact information at EDIRC.
Bibliographic data for series maintained by Kyle Renner (iiep@gwu.edu).