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In this paper known results about the equivalence of state space and autoregressive moving-average models with exogenous inputs (ARMAX) (including vector auto-regressive or VAR models) are reviewed. While most of these results are not new, no single reference appears to bring together several important related points.

This study has three main objectives: first, to determine whether the good performance of the U.S. economy observed in recent years is attributable to an upsurge in potential GDP; second, to identify the variables related to aggregate supply, whose trend might explain the evolution in economic potential; finally, to observe whether, despite everything, the American […]

We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing.

Models with default options are hard to solve. We propose an extension of the endogenous grid method that solves default risk models more efficiently and accurately.

We break down the exchange rate based on an explicit link between fixed income and currency markets. We isolate a foreign exchange risk premium and show it is the main driver of the exchange rate between the Canadian and US dollars, especially on monetary policy and macroeconomic news announcement days.

This paper presents a model of an over-the-counter bond market in which bond dealers and cash investors arrange repurchase agreements (repos) endogenously.

The effective conduct of monetary policy is complicated by uncertainty about the level of potential output, and thus about the size of the monetary policy response that would be sufficient to achieve the targeted inflation rate. One possible response to such uncertainty is for the monetary authority to "probe," interpreted here as actively using its policy response to learn about the level of potential output.

This paper considers a real business cycle model with labor search frictions where two types of incentive pay are explicitly introduced following the insights from the micro literature on performance pay (e.g. Lazear, 1986).

This paper proposes a method for estimating the joint distribution of two or more variables when only their marginal distributions and the distribution of their aggregates are observed. Nonparametric identification is achieved by modelling dependence using a latent common-factor structure.

We examine the macro implications of commodity price shocks in a model with multiple production sectors that are interconnected within a commodity-exporting small open economy.