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ESTIMATING AN OPTIMAL MACROECONOMIC UNCERTAINTY INDEX FOR AUSTRALIA

Havvanur Erdem and George Tawadros
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Havvanur Erdem: Department of Econometrics, Karadeniz Technical University
George Tawadros: Department of Economics and Management, DePauw University

No 2020-02, Working Papers from DePauw University, Department of Economics and Management

Abstract: In this article, an optimal macroeconomic uncertainty index is constructed for the Australian economy. This index is derived from a small structural macroeconomic model. The structural model is first estimated using GMM to extract the parameter estimates, which are then used to initialise maximum likelihood techniques in order to obtain the optimal coefficient values for the relevant variables. The relevant variables are then weighted by the obtained optimal coefficients and, finally, are aggregated to produce the optimal macroeconomic uncertainty index for Australian economy. The empirical results show that the uncertainty index constructed is a good indicator of the optimal economic conditions in Australia, providing a useful tool to assist the Reserve Bank of Australia in its decision-making process.

Keywords: Optimal Uncertainty Index; Central Bank; GMM; Optimization Algorithm (search for similar items in EconPapers)
JEL-codes: C36 C61 E58 (search for similar items in EconPapers)
Date: 2020-08
New Economics Papers: this item is included in nep-mac
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