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Aubrey Poon

Biographic Data

ID5935643
NAMEAubrey Poon
GIVEN NAMESAubrey
FAMILY NAMEPoon
SIGNATUREPOON A
AFFILIATIONSSchool of Economics University of Kent Canterbury UK
ORCID0000-0003-2587-8779
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • An international analysis of the trend five‐year government bond rate

    Open Access•Meredith Beechey, Pär Österholm et al.•ARTICLE•Scottish Journal of Political…•2025

    Employing an unobserved components stochastic volatility model, we estimate the trend 5‐year government bond rate in Canada, Norway, Sweden, Switzerland, the United Kingdom and the United States. Our results suggest that the estimated trend rate has decreased substantially between 2000 and 2020 in all six countries. In Norway, Switzerland and the United Kingdom, the trend rate has increased non‐negligibly since 2020; in Canada, Sweden and the Uni…

  • Constructing density forecasts from quantile regressions

    Open Access•James Mitchell, Aubrey Poon et al.•ARTICLE•Journal of Applied Econometrics•2024

    Quantile regression methods are increasingly used to forecast tail risks and uncertainties in macroeconomic outcomes. This paper reconsiders how to construct predictive densities from quantile regressions. We compare a popular two‐step approach that fits a specific parametric density to the quantile forecasts with a nonparametric alternative that lets the “data speak.” Simulation evidence and an application revisiting GDP growth uncertainties in …

  • Reconciled Estimates of Monthly GDP in the United States

    Gary Koop, Stuart G McIntyre et al.•ARTICLE•Journal of Business and Economic…•2023

    In the United States, income and expenditure-side estimates of gross domestic product (GDP) (GDPI and GDPE) measure “true” GDP with error and are available at a quarterly frequency. Methods exist for using these proxies to produce reconciled quarterly estimates of true GDP. In this paper, we extend these methods to provide reconciled historical true GDP estimates at a monthly frequency. We do this using a Bayesian mixed frequency vector autoregre…

  • Regional output growth in the United Kingdom

    Open Access•Gary Koop, Stuart G McIntyre et al.•ARTICLE•Journal of Applied Econometrics•2020

    Output growth estimates for regions of the UK are currently published at an annual frequency only, released with a long delay, and offer limited historical coverage. To improve the regional database this paper develops a mixed‐frequency multivariate model and uses it to produce consistent estimates of quarterly regional output growth dating back to 1970. We describe how these estimates are updated and evaluated on an ongoing, quarterly basis to p…

No prominent works on this page.

  • Regional output growth in the United Kingdom

    Open Access•Gary Koop, Stuart G McIntyre et al.•ARTICLE•Journal of Applied Econometrics•2020

    Output growth estimates for regions of the UK are currently published at an annual frequency only, released with a long delay, and offer limited historical coverage. To improve the regional database this paper develops a mixed‐frequency multivariate model and uses it to produce consistent estimates of quarterly regional output growth dating back to 1970. We describe how these estimates are updated and evaluated on an ongoing, quarterly basis to p…

  • Reconciled Estimates of Monthly GDP in the United States

    Gary Koop, Stuart G McIntyre et al.•ARTICLE•Journal of Business and Economic…•2023

    In the United States, income and expenditure-side estimates of gross domestic product (GDP) (GDPI and GDPE) measure “true” GDP with error and are available at a quarterly frequency. Methods exist for using these proxies to produce reconciled quarterly estimates of true GDP. In this paper, we extend these methods to provide reconciled historical true GDP estimates at a monthly frequency. We do this using a Bayesian mixed frequency vector autoregre…

  • Constructing density forecasts from quantile regressions

    Open Access•James Mitchell, Aubrey Poon et al.•ARTICLE•Journal of Applied Econometrics•2024

    Quantile regression methods are increasingly used to forecast tail risks and uncertainties in macroeconomic outcomes. This paper reconsiders how to construct predictive densities from quantile regressions. We compare a popular two‐step approach that fits a specific parametric density to the quantile forecasts with a nonparametric alternative that lets the “data speak.” Simulation evidence and an application revisiting GDP growth uncertainties in …

  • An international analysis of the trend five‐year government bond rate

    Open Access•Meredith Beechey, Pär Österholm et al.•ARTICLE•Scottish Journal of Political…•2025

    Employing an unobserved components stochastic volatility model, we estimate the trend 5‐year government bond rate in Canada, Norway, Sweden, Switzerland, the United Kingdom and the United States. Our results suggest that the estimated trend rate has decreased substantially between 2000 and 2020 in all six countries. In Norway, Switzerland and the United Kingdom, the trend rate has increased non‐negligibly since 2020; in Canada, Sweden and the Uni…

Econometrics (4 works) · Economics (4 works) · Monetary Policy and Economic Impact (4 works) · Business cycle (2 works) · Computer Science (2 works) · Geography (2 works) · Macroeconomics (2 works) · Market Dynamics and Volatility (2 works) · Mathematics (2 works) · Statistics (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae