Predictable recoveries
Cai, X., Den Haan, W. J.
& Pinder, J.
(2016).
Predictable recoveries.
Economica,
83(330), 307 - 337.
https://doi.org/10.1111/ecca.12185
A random walk with drift is a good univariate representation of US GDP. This paper shows, however, that US economic downturns have been associated with pre- dictable short-term recoveries and with changes in long-term GDP forecasts that are substantially smaller than the initial drop. To detect these predictable changes, it is important to use a multivariate time series model. We discuss reasons why univariate representations can miss key characteristics of the underlying variable such as predictability, especially during recessions.
| Item Type | Article |
|---|---|
| Copyright holders | © 2016 The London School of Economics and Political Science |
| Departments | LSE |
| DOI | 10.1111/ecca.12185 |
| Date Deposited | 01 Feb 2016 |
| Acceptance Date | 05 Jan 2016 |
| URI | https://researchonline.lse.ac.uk/id/eprint/65188 |
Explore Further
- C53 - Forecasting and Other Model Applications
- E32 - Business Fluctuations; Cycles
- E37 - Forecasting and Simulation
- http://www.lse.ac.uk/economics/people/faculty/wouter-den-haan (Author)
- https://www.scopus.com/pages/publications/84960406419 (Scopus publication)
- https://onlinelibrary.wiley.com/journal/14680335 (Official URL)
ORCID: https://orcid.org/0000-0001-6214-8156