Business cycle dynamics with duration dependence and leading indicators
Article
Article Title | Business cycle dynamics with duration dependence and leading indicators |
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ERA Journal ID | 18290 |
Article Category | Article |
Authors | Layton, Allan P. (Author) and Smith, Daniel R. (Author) |
Journal Title | Journal of Macroeconomics |
Journal Citation | 29 (4), pp. 855-875 |
Number of Pages | 21 |
Year | 2007 |
Place of Publication | Netherlands |
ISSN | 0164-0704 |
1873-152X | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jmacro.2006.02.003 |
Web Address (URL) | https://www.sciencedirect.com/science/article/abs/pii/S0164070407000298 |
Abstract | Durland and McCurdy (1994) investigated the issue of duration dependence in US business cycle phases using a Markov regime switching approach, introduced by Hamilton (1989) and extended to the case of variable transition parameters by Filardo(1994). In Durland and McCurdy’s model duration alone was used as an explanatory variable of the transition probabilities. They found that recessions were duration dependent whilst expansions were not. In this paper, we explicitly incorporate the widely accepted US business cycle phase change dates as determined by the NBER, and use a state-dependent multinomial Logit modelling framework. The model incorporates both duration and movements in two leading indexes - one designed to have a short lead (SLI) and the other designed to have a longer lead (LLI) - as potential explanatory variables. We find that doing so suggests that current duration is not only a significant determinant of transition out of recessions, but that there is some evidence that it is also weakly |
Keywords | business cycle; duration; leading indicators; regime shift; multinomial logit |
ANZSRC Field of Research 2020 | 380112. Macroeconomics (incl. monetary and fiscal theory) |
380203. Economic models and forecasting | |
380205. Time-series analysis | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Faculty of Business |
Simon Fraser University, Canada |
https://research.usq.edu.au/item/9y3xw/business-cycle-dynamics-with-duration-dependence-and-leading-indicators
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