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The authors use microdata from the 1999 and 2005 Surveys of Financial Security to identify changes in household debt, and discuss their potential implications for monetary policy and financial stability. They document an increase in the debt-income ratio, which rose from 0.75 to 0.95, on average.

Weak identification is likely to be prevalent in multi-equation macroeconomic models such as in dynamic stochastic general equilibrium setups. Identification difficulties cause the breakdown of standard asymptotic procedures, making inference unreliable.

The author constructs a formal analytic framework to simulate the impact of various economic shocks on the household debt-service ratio, using data from the Canadian Financial Monitor (CFM) survey.

Using the Bank of Canada's main projection and policy-analysis model, ToTEM, this paper measures the welfare gains of switching from inflation targeting to price-level targeting under imperfect credibility. Following the policy change, private agents assign a probability to the event that the policy-maker will revert to inflation-targeting next period.

We study a model with repeated moral hazard where financial contracts are not fully indexed to inflation because nominal prices are observed with delay as in Jovanovic & Ueda (1997).

This paper introduces heterogeneous beliefs among households in a small open economy model for the Canadian economy. The model suggests that simultaneous boom-bust cycles in house prices, output, investment, consumption and hours worked emerge when credit-constrained mortgage borrowers expect that future house prices will rise and this expectation is neither shared by savers nor realized ex-post.

Models with imperfect information that generate persistent monetary nonneutrality predominantly rely on assumptions leading to substantial heterogeneity of information across price-setters. This paper develops a quantitative general equilibrium model in which the degree of heterogeneity of information is determined endogenously.

Kryvtsov and Midrigan (2008) study the behavior of inventories in an economy with menu costs, fixed ordering costs and the possibility of stock-outs. This paper extends their analysis to a richer setting that is capable of more closely accounting for the dynamics of the US business cycle.

This paper proposes a simple analytical method to determine the stationarity of an unnormalized variable from the solution to a normalized model i.e. a model whose variables must be expressed in relative terms or must be differenced for a solution to exist.

Using identification-robust methods, the authors estimate and evaluate for Canada and the United States various classes of inflation equations based on generalized structural Calvo-type models. The models allow for different forms of frictions and vary in their assumptions regarding the type of price indexation adopted by firms.