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3019 Results

Local Labor Markets in Canada and the United States

Staff Working Paper 2019-12 David Albouy, Alex Chernoff, Chandler Lutz, Casey Warman
We examine local labor markets in the United States and Canada from 1990 to 2011 using comparable household and business data. Wage levels and inequality rise with city population in both countries, albeit less in Canada.
Content Type(s): Staff research, Staff working papers Research Topic(s): Labour markets JEL Code(s): J, J2, J21, J3, J31, J6, J61, N, N3, N32, R, R1, R12

Which Parametric Model for Conditional Skewness?

Staff Working Paper 2013-32 Bruno Feunou, Mohammad R. Jahan-Parvar, Roméo Tedongap
This paper addresses an existing gap in the developing literature on conditional skewness. We develop a simple procedure to evaluate parametric conditional skewness models. This procedure is based on regressing the realized skewness measures on model-implied conditional skewness values.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C2, C22, C5, C51, G, G1, G12, G15

The Macroeconomic Implications of Changes in Bank Capital and Liquidity Requirements in Canada: Insights from the BoC-GEM-FIN

Staff Discussion Paper 2010-16 Carlos De Resende, Ali Dib, Nikita Perevalov
The authors use simulations within the BoC-GEM-FIN, the Bank of Canada's version of the Global Economy Model with financial frictions in both the demand and supply sides of the credit market, to investigate the macroeconomic implications of changing bank regulations on the Canadian economy.

The Macroeconomic Effects of Military Buildups in a New Neoclassical Synthesis Framework

Staff Working Paper 2003-12 Alain Paquet, Louis Phaneuf, Nooman Rebei
The authors study the macroeconomic consequences of large military buildups using a New Neoclassical Synthesis (NNS) approach that combines nominal rigidities within imperfectly competitive goods and labour markets. They show that the predictions of the NNS framework generally are consistent with the sign, timing, and magnitude of how hours worked, after-tax real wages, and output actually respond to an upsurge in military purchases.

Household balance sheets and mortgage payment shocks

Staff Analytical Note 2025-23 Thomas Michael Pugh, Saarah Sheikh, Taylor Webley
Household savings in Canada have increased significantly since 2019, especially among homeowners without a mortgage. We assess how savings buffers can mitigate households’ financial risk in relation to asset repricing, mortgage payment renewal and unemployment.

Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning

Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.

Idiosyncratic Coskewness and Equity Return Anomalies

Staff Working Paper 2010-11 Fousseni Chabi-Yo, Jun Yang
In this paper, we show that in a model where investors have heterogeneous preferences, the expected return of risky assets depends on the idiosyncratic coskewness beta, which measures the co-movement of the individual stock variance and the market return.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Financial markets JEL Code(s): G, G1, G11, G12, G14, G3, G33

Forecasting Inflation and the Inflation Risk Premiums Using Nominal Yields

Staff Working Paper 2012-37 Bruno Feunou, Jean-Sébastien Fontaine
We provide a decomposition of nominal yields into real yields, expectations of future inflation and inflation risk premiums when real bonds or inflation swaps are unavailable or unreliable due to their relative illiquidity.

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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