Abstract
The business cycle accounting method introduced by Chari. Kehoe and McGrattan (2007) is a useful tool to decompose business cycle fluctuations into their contributing factors, However, the model estimated by the maximum likelihood method cannot replicate business cycle moments computed from data. Moment-based estimation might be an attractive alternative if the purpose of the research is to study business cycle properties such as volatility, persistence and cross-correlation of variables instead of a specific business cycle episode.
Original language | English |
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Pages (from-to) | 1774-1784 |
Number of pages | 11 |
Journal | Economics Bulletin |
Volume | 32 |
Issue number | 2 |
Publication status | Published - 2012 Dec 1 |
Externally published | Yes |
ASJC Scopus subject areas
- Economics, Econometrics and Finance(all)