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Do economies stall? The international evidence

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  • Wai-Yip Alex Ho
  • James Yetman

Abstract

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.

Suggested Citation

  • Wai-Yip Alex Ho & James Yetman, 2013. "Do economies stall? The international evidence," BIS Working Papers 407, Bank for International Settlements.
  • Handle: RePEc:bis:biswps:407
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    References listed on IDEAS

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    1. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    2. 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.
    3. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    4. JAMES G. MacKINNON, 2006. "Bootstrap Methods in Econometrics," The Economic Record, The Economic Society of Australia, vol. 82(s1), pages 2-18, September.
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    Cited by:

    1. Diggle, Paul & Bartholomew, Luke, 2022. "'Stall Speed' and 'Escape Velocity': Empty Metaphors or Empirical Realities?," CEPR Discussion Papers 14290, C.E.P.R. Discussion Papers.
    2. Wai-Yip Alex Ho & James Yetman, 2014. "Do economies stall?," Applied Economics, Taylor & Francis Journals, vol. 46(35), pages 4267-4275, December.
    3. Deyou Yu & Licong Xu & Kaixing Fu & Xia Liu & Shanli Wang & Minghua Wu & Wangyang Lu & Chunyu Lv & Jinming Luo, 2024. "Electronic structure modulation of iron sites with fluorine coordination enables ultra-effective H2O2 activation," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

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    Keywords

    business cycles; stall speed; Markov switching;
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