What question did this study set out to answer?

To estimate the Australian output gap using an extended mixed-frequency framework that addresses the reporting lags of quarterly economic data.

August 16, 2026Economic RecordOpen Access

What Does a Mixed‐Frequency Multivariate Beveridge‐Nelson Decomposition Tell us about the Australian Output Gap?*

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Authors

GGGilliane De Gorostiza-RoudnitskiThe University of Sydney

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Overview

Econometric modeling reveals key foreign and labor drivers of the Australian output gap, highlighting the utility of mixed-frequency indicators for real-time policy assessment.

Key Points

To estimate the Australian output gap using an extended mixed-frequency framework that addresses the reporting lags of quarterly economic data.
Extended a mixed-frequency Bayesian vector autoregressive (MF-BVAR) model using a multivariate Beveridge-Nelson decomposition.
Incorporated a block-exogenous foreign sector, explicit modeling for COVID-19 outliers, and indicators sampled at weekly, monthly, and quarterly frequencies including the Trade Weighted Index (TWI).
Estimated output gaps closely aligned with central bank estimates, with the labor market—specifically aggregate hours worked rather than the headline unemployment rate—providing the primary source of domestic information.
The Trade Weighted Index and foreign variables contributed substantial informational value, with foreign shocks driving the Global Financial Crisis while domestic shocks accounted for typical cyclical fluctuations.
Weekly TWI indicators enabled earlier updates but did not improve estimation accuracy compared to monthly TWI data.

Cite This Study

Gilliane De Gorostiza-Roudnitski (2026) studied this question.

synapsesocial.com/papers/6a817a33f2fb91fc834add68 https://doi.org/10.1111/1475-4932.70065

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August 16, 2026Economic RecordOpen Access

What Does a Mixed‐Frequency Multivariate Beveridge‐Nelson Decomposition Tell us about the Australian Output Gap?*

View Full Paper

Ask AI

Bookmark

Authors

GGGilliane De Gorostiza-RoudnitskiThe University of Sydney

Discussion

Member takes

Overview

Econometric modeling reveals key foreign and labor drivers of the Australian output gap, highlighting the utility of mixed-frequency indicators for real-time policy assessment.

Key Points

To estimate the Australian output gap using an extended mixed-frequency framework that addresses the reporting lags of quarterly economic data.
Extended a mixed-frequency Bayesian vector autoregressive (MF-BVAR) model using a multivariate Beveridge-Nelson decomposition.
Incorporated a block-exogenous foreign sector, explicit modeling for COVID-19 outliers, and indicators sampled at weekly, monthly, and quarterly frequencies including the Trade Weighted Index (TWI).
Estimated output gaps closely aligned with central bank estimates, with the labor market—specifically aggregate hours worked rather than the headline unemployment rate—providing the primary source of domestic information.
The Trade Weighted Index and foreign variables contributed substantial informational value, with foreign shocks driving the Global Financial Crisis while domestic shocks accounted for typical cyclical fluctuations.
Weekly TWI indicators enabled earlier updates but did not improve estimation accuracy compared to monthly TWI data.

Cite This Study

Gilliane De Gorostiza-Roudnitski (2026) studied this question.

synapsesocial.com/papers/6a817a33f2fb91fc834add68 https://doi.org/10.1111/1475-4932.70065

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