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2997 Results

IMF-Supported Adjustment Programs: Welfare Implications and the Catalytic Effect

Staff Working Paper 2007-22 Carlos De Resende
The author studies the welfare implications of adjustment programs supported by the International Monetary Fund (IMF). He uses a model where an endogenous borrowing constraint, set up by international lenders who will never lend more than a debt ceiling, forces the borrowing economy to always choose repayment over default.
Content Type(s): Staff research, Staff working papers Research Topic(s): International topics JEL Code(s): F, F3, F32, F33, F34, F4, F41

What Drags and Drives Mobility: Explaining Canada’s Aggregate Migration Patterns

Staff Working Paper 2012-28 David Amirault, Daniel de Munnik, Sarah Miller
Using census data at the economic region level from 1991 to 2006 and a gravity model framework, this paper examines the factors that influence migration within Canada.
February 21, 2013

Conference Summary: Financial Intermediation and Vulnerabilities

The Bank of Canada’s annual economic conference, held in October 2012, brought together experts from across Canada and around the world to discuss key issues concerning financial intermediation and vulnerabilities. The conference covered such topics as household finances and their relationship to financial stability, as well as bank regulation, securitization and shadow banking.
June 25, 2005

Changes in the Indicator Properties of Narrow Monetary Aggregates

Although many countries have abandoned monetary targeting in recent decades, monetary aggregates are still useful indicators of future economic activity. Past research has shown that, compared with other monetary aggregates and expressed in real terms, net M1 and gross M1 have traditionally provided superior leading information for output growth.

Forecasting Core Inflation in Canada: Should We Forecast the Aggregate or the Components?

Staff Working Paper 2005-44 Frédérick Demers, Annie De Champlain
The authors investigate the behaviour of core inflation in Canada to analyze three key issues: (i) homogeneity in the response of various price indexes to demand or real exchange rate shocks relative to the response of aggregate core inflation; (ii) whether using disaggregate data helps to improve the forecast of core inflation; and (iii) whether using monthly data helps to improve quarterly forecasts.

Evaluating Linear and Non-Linear Time-Varying Forecast-Combination Methods

Staff Working Paper 2001-12 Fuchun Li, Greg Tkacz
This paper evaluates linear and non-linear forecast-combination methods. Among the non-linear methods, we propose a nonparametric kernel-regression weighting approach that allows maximum flexibility of the weighting parameters.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C14, C5, C53, E, E2, E27
June 2, 2006

Another Look at the Inflation-Target Horizon

The conduct of monetary policy within an inflation-targeting framework requires the establishment of an inflation-target horizon, which is the average time it takes inflation to return to the target. Policy-makers have an interest in communicating this horizon, since it is likely to help anchor inflation expectations. This article focuses on the determination of the appropriate policy horizon by reporting on two recent Bank of Canada studies. The evidence suggests that the current target horizon of six to eight quarters remains appropriate. It is important to note that the duration of the optimal inflation-target horizon varies widely, depending on the combination of shocks to the economy. In rare cases when the financial accelerator is triggered by a persistent shock, such as an asset-price bubble, it may be appropriate to take a longer view of the inflation-target horizon.

Estimating DSGE-Model-Consistent Trends for Use in Forecasting

The workhorse DSGE model used for monetary policy evaluation is designed to capture business cycle fluctuations in an optimization-based format. It is commonplace to log-linearize models and express them with variables in deviation-from-steady-state format.
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