Luis Uzeda

Senior Economist

Bio

Luis Uzeda is a Senior Economist of the Real Economic Activity division 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.


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Staff working papers

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.

Endogenous Time Variation in Vector Autoregressions

Staff Working Paper 2020-16 Danilo Leiva-Leon, Luis Uzeda
We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence — contemporaneously and with a lag — the dynamics of the intercept and autoregressive coefficients in these models.

State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models

Staff Working Paper 2018-14 Luis Uzeda
Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood.

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