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This paper evaluates the forecasting performance of factor models for Canadian inflation. This type of model was introduced and examined by Stock and Watson (1999a), who have shown that it is quite promising for forecasting U.S. inflation.

We analyze the evolution of macroeconomic uncertainty in the United States, based on the forecast errors of consensus survey forecasts of different economic indicators. Comprehensive information contained in the survey forecasts enables us to capture a real-time subjective measure of uncertainty in a simple framework.

Using a nonlinear New Keynesian model with a financial accelerator, we show that financial frictions generate large state-dependent amplification effects. Shocks propagate more strongly in periods of financial stress. We propose an endogenous regime-switching DSGE framework for efficient estimation and improved model fit.

We use controlled laboratory experiments to test the causal effects of central bank communication on economic expectations and to distinguish the underlying mechanisms of those effects. In an experiment where subjects learn to forecast economic variables, we find that central bank communication has a stabilizing effect on individual and aggregate outcomes and that the size of the effect varies with the type of communication.

Building on the growing evidence on the importance of large data sets for empirical macroeconomic modeling, we use a factor-augmented VAR (FAVAR) model with more than 260 series for 20 OECD countries to analyze how global developments affect the Canadian economy.

In this paper, we use an economics decision-making experiment to test a key assumption underpinning the efficacy of price-level targeting relative to inflation targeting for business cycle stabilization and mitigating the effects of the zero lower bound on nominal interest rates.

A series of major international financial crises in the 1990s, and the recent introduction of the euro, have renewed interest in alternative exchange rate systems. The choice of exchange rate regime is particularly relevant for emerging-market countries because other countries are perceived either as having no alternative to their current exchange rate arrangement or as highly unlikely to change. This article examines the evolution of exchange rate regimes in emerging markets over the past decade and compares the strengths and weaknesses of the various available systems. These include intermediate regimes, such as the adjustable pegged exchange rate popular throughout much of the post—war period, and the two extreme exchange rate regimes: permanently fixed or freely floating exchange rate regimes. Two recently proposed alternatives are also evaluated: the Managed Floating Plus and Baskets, Bands, and Crawling Pegs. Both try to combine the best elements of the flexible and fixed exchange rate systems, but the Managed Floating Plus is deemed to be the more promising alternative.

During the period of 2008 to 2012, the rules for government-backed mortgage insurance were tightened on four occasions. In this note, we estimate the effects through a simple econometric exercise using a vector error-correction model (VECM).

Can macroprudential foreign exchange (FX) regulations on banks reduce the financial and macroeconomic vulnerabilities created by borrowing in foreign currency? To evaluate the effectiveness and unintended consequences of macroprudential FX regulations, we develop a parsimonious model of bank and market lending in domestic and foreign currency and derive four predictions.

The authors develop a projection model of the euro area and the United Kingdom. The model consists of two country blocks, endogenous to each other via the foreign demand channel.