Central Bank Performance under Inflation Targeting

Gosselin examines and reports on the various factors that contribute to successful inflation targeting. Using a panel of 21 inflation-targeting countries over the period 1990Q1-2007Q2, Gosselin finds that the ability of central banks to hit their targets varies considerably. Some of these differences can be explained by exchange rate fluctuations, fiscal deficits, and differences in financial development. Others are explained by differences in the targeting framework itself and the manner in which it is implemented.

Central Bank Performance under Inflation Targeting

The inflation targeting (IT) regime is 17 years old. With practice of IT now in more than 21 countries, there is enough evidence gathered to take stock of the IT experience. In this paper, we analyze the inflation record of IT central banks. We extend the work of Albagli and Schmidt-Hebbel (2004) by looking at a broad range of factors that can influence inflation target deviations and by identifying the empirical determinants of successful monetary policy under IT. We find that part of the cross-country and time variation in inflation deviations from targets can be explained by exchange rate movements, fiscal deficits, and differences in financial sector development. With respect to the components of the IT framework, we find that a higher inflation target and a larger inflation control range are associated with more variable inflation (and output) outcomes. Although the literature tends to suggest that greater central bank transparency is desirable, our findings imply that transparency might be associated with less satisfactory inflation performance. Interestingly, central banks using economic models do a better job of stabilizing inflation around the target and output around trend.Central bank research; Inflation targets; Monetary policy framework

An Empirical Analysis of Foreign Exchange Reserves in Emerging Asia

Over the past few years, the ability of the United States to finance its current account deficit has been facilitated by massive purchases of U.S. Treasury bonds and agency securities by Asian central banks. In this process, Asian central banks have accumulated large stockpiles of U.S.-dollar foreign exchange reserves. How far is the current level of reserves from that predicted by the standard macroeconomic determinants? The authors answer this question by using Pedroni's (1999) panel cointegration tests as the basis for the estimation of a long-run reserve-demand function in a panel of eight Asian emerging-market economies. This is a key innovation relative to the existing research on international reserves modelling: although the data are typically I(1), the literature ignores this fact and makes statistical inference based on unadjusted standard errors. While the authors find evidence of a positive structural break in the demand for international reserves by Asian central banks in the aftermath of the financial crisis of 1997-98, their results indicate that the actual level of reserves accumulated in 2003-04 was still in excess relative to that predicted by the model. Therefore, as long as historical relationships hold, a slowdown in the rate of accumulation of reserves is likely. This poses negative risks for the U.S. dollar. However, both the substantial capital losses that Asian central banks would incur if they were to drastically change their holding policy and the evidence that the currency composition of reserves evolves only gradually mitigate the risks of a rapid depreciation of the U.S. dollar triggered by Asian central banks.Econometric and statistical methods; International topics; Financial stability

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.

A Comparison of Parent and Teacher Ratings of Child Behaviours: the Pygmalion Effect Revisited

Early schooling experience is a reliable predictor of later school and professional adjustment. In the context of important investment made in the preschool curriculum to promote early academic achievement among children at risk of failure, the validity of screening and referring procedures is a rising issue. 384 children and their family participated in an 18 months longitudinal study from kindergarten to first grade. Results of the present study confirmed the value of screening protocol based on consensus between parents and teacher for greater attention to children needs. However, further results suggested that kindergarten’ teachers might be considered as a unique and valid informant to predict early academic achievement

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. For instance, they model and measure the elasticities of imports and exports to changes in the exchange rate and income. PAC models provide a theoretical justification for the presence of lags within a dynamic equation where optimizing agents' expectations are completely rational and forward looking. This approach thereby adds theoretical depth to a model that has a good forecasting performance. To the authors' knowledge, this paper is the first study to model the U.S. trade sector using a PAC approach. Overall, the models' main elasticities are reasonable. Moreover, the authors find that the out-ofsample forecasting performance of their PAC models is at least as good as that of other models. Their results show that this theoretical structure is not added at the expense of the empirical features of the models.Econometric and statistical methods; International topics; Domestic demand and components

Statistical Field Theory and Networks of Spiking Neurons

This paper models the dynamics of a large set of interacting neurons within the framework of statistical field theory. We use a method initially developed in the context of statistical field theory [44] and later adapted to complex systems in interaction [45][46]. Our model keeps track of individual interacting neurons dynamics but also preserves some of the features and goals of neural field dynamics, such as indexing a large number of neurons by a space variable. Thus, this paper bridges the scale of individual interacting neurons and the macro-scale modelling of neural field theory