Endogenous Central Bank Credibility in a Small Forward-Looking Model of the U.S. Economy

The linkages between inflation and the economy's cyclical position are thought to be strongly affected by the credibility of monetary authorities. The author complements existing research by estimating a small forward-looking model of the U.S. economy with endogenous central bank credibility. His work differs from the existing literature in several ways. First, he endogenizes and estimates credibility parameters, allowing inflation expectations to be a mix of backward- and forward-looking agents. Second, his models include both outcome- and action-based credibility. Third, he estimates a non-linear relation between policy credibility and divergences of inflation from target, which is also assumed to change over history. Finally, the author's non-linear time-varying credibility indexes do not rely on a two-regime definition, but on a continuum of credibility regimes. The author finds strong, stable, and statistically significant outcome- and action-credibility effects that generate important inflation inertia. According to his results, the value of the endogenous credibility indexes has risen steadily across the different monetary policy regimes.Transmission of monetary policy; Econometric and statistical methods; Inflation and prices

BoC-GEM: Modelling the World Economy

BoC-GEM, an adaptation of the Global Economy Model, initially developed at the International Monetary Fund and the New York Federal Reserve, is a very useful tool to tackle a broad range of issues pertinent to the current economic context, such as the recent movements in commodity prices and the adjustment of global imbalances. This article describes the structure and functioning of BoC-GEM and details some examples of recent application in the areas of monetary policy and issues in the real economy and questions of financial stability and describes ongoing research into introducing a financial sector into the model.

Inflation Targeting, Price-Level Targeting, and Fluctuations in Canada's Terms of Trade

Coletti and Lalonde compare inflation targeting and price-level targeting in the context of a small open economy subject to sizable terms-of-trade shocks. The authors summarize recent research that compares the ability of price-level targeting and inflation targeting to stabilize the macroeconomy when confronted with shocks similar to those experienced by Canada in recent years. Their preliminary results suggest that price-level targeting may represent a feasible alternative to traditional inflation targeting. Their article also provides insight into the direction of current research in this area at the Bank.

The Federal Reserve's Dual Mandate: A Time-Varying Monetary Policy Priority Index for the United States

In the United States, the Federal Reserve has a dual mandate of promoting stable inflation and maximum employment. Since the Fed directly controls only one instrument-the federal funds rate-the authors argue that the Fed's priorities continuously alternate between inflation and economic activity. In this paper, the authors assume that the effective weights put by the Fed on different indicators vary over time. To test this assumption, they estimate a monetary policy priority index by adding non-linear endogenous weights to a conventional Taylor-type rule.Monetary policy framework; Monetary policy implementation; Econometric and statistical methods

The BoC-GEM-Fin: Banking in the Global Economy

This article describes the Bank of Canada’s version of the Global Economy Model structured to incorporate an active banking system that features an interbank market and cross-border lending. After describing the new model, the authors use it to examine the responses of selected U.S. and Canadian macroeconomic variables to a “credit crunch” in the United States and also to study the impact of changes in the regulatory limits to bank leverage in Canada. They also discuss the relative merits of a monetary policy framework based on inflation targeting and one based on price-level targeting in the presence of shocks to the U.S. and Canadian banking sectors.

Forecasting and Analyzing World Commodity Prices

The authors develop simple econometric models to analyze and forecast two components of the Bank of Canada commodity price index: the Bank of Canada non-energy (BCNE) commodity prices and the West Texas Intermediate crude oil price. They present different methodologies to identify transitory and permanent components of movements in these prices. A structural vector autoregressive model is used for real BCNE prices and a multiple structural-break technique is employed for real crude oil prices. The authors use these transitory and permanent components to develop forecasting models. They assess various aspects of the models' performance. Their main results indicate that: (i) the world economic activity and real U.S.-dollar effective exchange rate explain much of the cyclical variation of real BCNE prices, (ii) real crude oil prices have two structural breaks over the sample period, and recently their link with the world economic activity has been quite strong, and (iii) the models outperform benchmark models, namely a vector autoregressive model, an autoregressive model, and a random-walk model, in terms of out-of-sample forecasting.Econometric and statistical methods

MUSE: The Bank of Canada's New Projection Model of the U.S. Economy

Staff projections provided for the Bank of Canada's monetary policy decision process take into account the integration of Canada's very open economy within the global economy, as well as its close real and financial linkages with the United States. To provide inputs for this projection, the Bank has developed several models, including MUSE, NEUQ (the New European Quarterly Model), and BoC-GEM (Bank of Canada Global Economy Model), to analyze and forecast economic developments in the rest of the world. The authors focus on MUSE, the model currently used to describe interaction among the principal U.S. economic variables, including gross domestic product, inflation, interest rates, and the exchange rate. Brief descriptions are also provided of NEUQ and BoC-GEM.

Modélisation et prévision du taux de change réel effectif américain

This study describes a simple model for predicting the real U.S. exchange rate. Starting with a large number of error-correction models, the authors choose the one giving the best out-of-sample forecasts over the period 1992Q3 - 2002Q1. In the selected model, the effective real exchange rate is cointegrated with relative productivity and the real price of oil. The short-term dynamics depend upon the evolution of the difference in GDP growth rates, the first difference of the ratio of net foreign assets to GDP, the real interest rate differential, and shocks that have a temporary effect on the real price of oil and relative productivity. Out-of-sample forecasts reveal that the model generates mean-squared errors that are systematically and statistically much lower than those from a random-walk or an autoregressive model. This result is largely due to the great stability of the parameters of the cointegration relationship.Econometric and statistical methods; Economic models; International topics; Exchange rates

Oil Price Movements and the Global Economy: A Model-Based Assessment

We develop a five-region version (Canada, an oil exporter, the United States, emerging Asia and Japan plus the euro area) of the Global Economy Model (GEM) encompassing production and trade of crude oil, and use it to study the international transmission mechanism of shocks that drive oil prices. In the presence of real adjustment costs that reduce the short- and medium-term responses of oil supply and demand, our simulations can account for large endogenous variations of oil prices with large effects on the terms of trade of oil-exporting versus oil-importing countries (in particular, emerging Asia), and result in significant wealth transfers between regions. This is especially true when we consider a sustained increase in productivity growth or a shift in production technology towards more capital- (and hence oil-) intensive goods in regions such as emerging Asia. In addition, we study the implications of higher taxes on gasoline that are used to reduce taxes on labor income, showing that such a policy could increase world productive capacity while being consistent with a reduction in oil consumption.Economic models; Inflation and prices; International topics

Un modèle « PAC » d'analyse et de prévision des dépense des ménages américains

Traditional structural models cannot distinguish whether changes in activity are a function of altered expectations today or lagged responses to past plans. Polynomial-adjustment-cost (PAC) models remove this ambiguity by explicitly separating observed dynamic behaviour into movements that have been induced by changes in expectations, and responses to expectations, that have been delayed because of adjustment costs. In these models, agents’ decisions are a function of forecasts of a desired level for the decision variable and, owing to frictions, this level is reached only gradually. In this paper, the authors use PAC models to analyze and forecast U.S. household spending. They find that the estimated models are rather rich from a theoretical and dynamic view-point. For example, the authors find that household spending is a function of forward-looking expectations, short- and long-term interest rates, human and non-human wealth, liquidity constraints, and uncertainty with respect to future business cycles. Moreover, out-of-sample forecasts and stability tests show that this theoretical structure is not added at the expense of the model’s empirical features.Economic models; Econometric and statistical methods; Business fluctuations and cycles