E37 - Forecasting and Simulation: Models and Applications
-
-
MUSE: The Bank of Canada's New Projection Model of the U.S. Economy
The analysis and forecasting of developments in the U.S. economy have always played a critical role in the formulation of Canadian economic and financial policy. Thus, the Bank places considerable importance on generating internal forecasts of U.S. economic activity as an input to the Canadian projection. -
Y a-t-il eu surinvestissement au Canada durant la seconde moitié des années 1990?
This study on overinvestment differs from the existing literature in that investment in machinery and equipment is modelled as a structural vector autoregression with identification achieved by imposing long-run restrictions, as in Blanchard and Quah (1989). -
Estimating Policy-Neutral Interest Rates for Canada Using a Dynamic Stochastic General-Equilibrium Framework
In an era when the primary policy instrument is the level of the short-term interest rate, a comparison of that rate with some equilibrium rate can be a useful guide for policy and a convenient method to measure the stance of monetary policy. -
Modélisation « PAC » du secteur extérieur de l'économie américaine
In this paper, the authors use polynomial adjustment cost (PAC) models to analyze and forecast the main components of the U.S. trade sector. -
Explaining and Forecasting Inflation in Emerging Markets: The Case of Mexico
The authors apply existing inflation models that have worked well in industrialized countries to Mexico, an emerging market that has recently moved to adopt an inflation-targeting framework for monetary policy. They compare the performance of these models with a mark-up model that has been used extensively to analyze inflation in Mexico. -
Testing the Stability of the Canadian Phillips Curve Using Exact Methods
Postulating two different specifications for the Canadian Phillips curve (a purely backwardlooking model, and a partly backward-, partly forward-looking model), the authors test for structural breaks in the parameters of the equation. In each case, they account for the possibilities that: (i) breaks can be discrete, or continuous, and (ii) available data samples may be too small to justify using asymptotically valid structural-change tests. -
Evaluating the Quarterly Projection Model: A Preliminary Investigation
This paper summarizes the results of recent research evaluating the Bank of Canada's Quarterly Projection Model (QPM). -
Estimated DGE Models and Forecasting Accuracy: A Preliminary Investigation with Canadian Data
This paper applies the hybrid dynamic general-equilibrium, vector autoregressive (DGE-VAR) model developed by Ireland (1999) to Canadian time series. -
A Consistent Bootstrap Test for Conditional Density Functions with Time-Dependent Data
This paper describes a new test for evaluating conditional density functions that remains valid when the data are time-dependent and that is therefore applicable to forecasting problems. We show that the test statistic is asymptotically distributed standard normal under the null hypothesis, and diverges to infinity when the null hypothesis is false.