Are empirical measures of macroeconomic uncertainty alike?

Chew Lian Chua, David Kim, Sandy Suardi

Research output: Journal PublicationArticlepeer-review

15 Citations (Scopus)

Abstract

Abstract There is a plethora of time series measures of uncertainty for inflation and real output growth in empirical studies but little is known whether they are comparable to the uncertainty measure reported by individual forecasters in the survey of professional forecasters. Are these two measures of uncertainty inherently distinct? This paper shows that, compared with many uncertainty proxies produced by time series models, the use of real-time data with fixed-sample recursive estimation of an asymmetric bivariate generalized autoregressive conditional heteroskedasticity model yields inflation uncertainty estimates which resemble the survey measure. There is, however, overwhelming evidence that many of the time series measures of growth uncertainty exceed the level of uncertainty obtained from survey measure. Our results highlight the relative merits of using different methods in modelling macroeconomic uncertainty which are useful for empirical researchers.

Original languageEnglish
Pages (from-to)801-827
Number of pages27
JournalJournal of Economic Surveys
Volume25
Issue number4
DOIs
Publication statusPublished - Sep 2011
Externally publishedYes

Keywords

  • GARCH
  • Inflation
  • Output growth
  • SVAR
  • Uncertainty
  • VAR

ASJC Scopus subject areas

  • Economics and Econometrics

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