Do economies stall? The international evidence
A "stalling" economy has been defined as one that experiences a discrete deterioration in economic performance following a decline in its growth rate to below some threshold level. Previous efforts to identify stalls have focused primarily on the US economy, with the threshold level being chosen endogenously, and have suggested that the concept of a stall may be useful for macroeconomic forecasting. We examine the international evidence for stalling in a panel of 51 economies using two different definitions of a stall threshold (time-invariant and related to lagged average growth rates) and two complementary empirical approaches (insample statistical significance and out-of-sample forecast performance). We find that the evidence for stalling based on time-invariant thresholds is limited: only 12 of the 51 economies in our sample experience statistically significant stalls, and including a stall threshold generally results in only modest improvements to out-ofsample forecast performance. When we instead model the stall threshold as varying with average growth rates, the number of economies with statistically-significant stalls actually declines (to nine), but in 71% of the cases we examine, including a stall threshold results in an improvement in out-of-sample forecast performance.
|Date of creation:||Mar 2013|
|Contact details of provider:|| Postal: Centralbahnplatz 2, CH - 4002 Basel|
Phone: (41) 61 - 280 80 80
Fax: (41) 61 - 280 91 00
Web page: http://www.bis.org/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Hansen, Bruce E, 1996.
"Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis,"
Econometric Society, vol. 64(2), pages 413-430, March.
- Hansen, B.E., 1991. "Inference when a Nuisance Parameter is Not Identified Under the Null Hypothesis," RCER Working Papers 296, University of Rochester - Center for Economic Research (RCER).
- Tom Doan, "undated". "TAR: RATS procedure to estimate a threshold autoregression, tests for threshold effect," Statistical Software Components RTS00209, Boston College Department of Economics.
- Tom Doan, "undated". "RATS programs to replicate Hansen's threshold estimation and testing results," Statistical Software Components RTZ00091, Boston College Department of Economics.
- JAMES G. MacKINNON, 2006. "Bootstrap Methods in Econometrics," The Economic Record, The Economic Society of Australia, vol. 82(s1), pages 2-18, 09.
- James G. MacKinnon, 2006. "Bootstrap Methods in Econometrics," Working Papers 1028, Queen's University, Department of Economics.
- Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
- Bruce E. Hansen, 1996. "Sample Splitting and Threshold Estimation," Boston College Working Papers in Economics 319., Boston College Department of Economics, revised 12 May 1998.
- Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
When requesting a correction, please mention this item's handle: RePEc:bis:biswps:407. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christian Beslmeisl)
If references are entirely missing, you can add them using this form.