The Optimal Economic Uncertainty Index: A Grid Search Application
Pei-Tha Gan ()
Computational Economics, 2014, vol. 43, issue 2, 159-182
Abstract:
A noteworthy characteristic of empirical studies on the economic uncertainty index is that very few published papers depend on normative analysis. Therefore, normative analysis cannot be used to refute the precision of the economic uncertainty index; the lack of precision is simply the outcome of a misspecification of a commonly used model and a complex data collection process. To overcome this shortcoming, this paper uses the optimal form of the economic uncertainty index and determines its empirical validity based on a sample of 7 countries, including 3 developed and 4 developing countries. Using a grid search optimization procedure, the findings provide some policy implications; the optimal economic uncertainty index can characterize the uncertainty level of macroeconomic conditions and serve as a guiding policy tool for improving uncertainty levels in macroeconomic conditions. The estimated response function of the optimal economic uncertainty index suggests that the exchange rate, inflation, interest rate and output are useful indicators for central banks’ decision-making and that the optimal index supports the prediction of economic uncertainty. Copyright Springer Science+Business Media New York 2014
Keywords: Central bank; Exchange rate; Monetary policy; Optimal economic uncertainty; Grid search; C61; E58; E61; F41 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://hdl.handle.net/10.1007/s10614-013-9366-y (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:43:y:2014:i:2:p:159-182
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2
DOI: 10.1007/s10614-013-9366-y
Access Statistics for this article
Computational Economics is currently edited by Hans Amman
More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().