Bio

Luis Uzeda is a Principal Researcher of the Labour and Inflation Team in the Canadian Economic Analysis Department. His research interests are in Applied Macroeconomics, Bayesian Econometrics and Time Series Analysis. Prior to joining the Bank, Luis held positions in the Research Departments of the Reserve Bank of Australia and the Reserve Bank of New Zealand. He holds a Ph.D. in Economics from the Australian National University.


Staff research

Do Monetary Policy Shocks Affect the Neutral Rate of Interest?

Staff working paper 2026-6 Danilo Leiva-Leon, Rodrigo Sekkel, Luis Uzeda
Can monetary policy influence the neutral real interest rate (r-star)? Using a new statistical model, we show that interest rate hikes tend to lower r-star and long-run growth, but that monetary policy explains only a small share of the long-run decline in r-star.

Pulse check: Measuring underlying inflation and its drivers

Staff analytical note 2025-29 Luis Uzeda
This note presents PULSE, a new measure of underlying inflation in Canada based on a dynamic factor model estimated on disaggregated inflation data. PULSE captures the persistent component of inflation and decomposes it into broad-based and sector-specific inflationary pressures.

Partial Identification of Heteroskedastic Structural Vector Autoregressions: Theory and Bayesian Inference

Staff working paper 2025-14 Helmut Lütkepohl, Fei Shang, Luis Uzeda, Tomasz Woźniak
We consider structural vector autoregressions that are identified through stochastic volatility. Our analysis focuses on whether a particular structural shock can be identified through heteroskedasticity without imposing any sign or exclusion restrictions.

The 2021–22 Surge in Inflation

Staff discussion paper 2023-3 Oleksiy Kryvtsov, James (Jim) C. MacGee, Luis Uzeda
The rise in inflation in 2021–22 sparked a growing literature and debate over the causes of the surge as well as the near- and medium-term path for inflation. This review offers three key messages.

Sectoral Uncertainty

Staff working paper 2022-38 Efrem Castelnuovo, Kerem Tuzcuoglu, Luis Uzeda
We propose a new empirical framework that jointly decomposes the conditional variance of economic time series into a common and a sector-specific uncertainty component. We apply our framework to a disaggregated industrial production series for the US economy. We identify unexpected changes in durable goods uncertainty as drivers of downturns, while unexpected hikes in non-durable goods uncertainty are expansionary.

Understanding Trend Inflation Through the Lens of the Goods and Services Sectors

Staff working paper 2020-45 Yunjong Eo, Luis Uzeda, Benjamin Wong
The goods and services sectors have experienced considerably different dynamics over the past three decades. Our goal in this paper is to understand how such contrasting behaviors at the sectoral level affect the aggregate level of trend inflation dynamics.

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Journal publications

  • “Partial Identification of Structural Vector Autoregressions with Non-Centred Stochastic Volatility” (with Helmut Lütkepohl, Fei Shang and Tomasz Wozniak), Journal of Econometrics (2025)
  • “Sectoral Uncertainty : A Hierarchical-Volatility Approach” (with Kerem Tuzcuoglu et Efrem Castelnuovo), Journal of Business and Economic Statistics (2025)
  • “Understanding Trend Inflation Through the Lens of the Goods and Services Sectors” (with Yunjong Eo and Benjamin Wong), Journal of Applied Econometrics (2023)
  • “State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models”, Advances in Econometrics (Essays in Honor of Fabio Canova) (2022)
  • “Endogenous Time Variation in Vector Autoregressions” (with Danilo Leiva-León), Review of Economics and Statistics (2022) 
  • “Detection of Anticipated Structural Changes in a Rational Expectations Environment” (with Callum Jones), Applied Economics Letters (2013)