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133 Results

The U.S. New Keynesian Phillips Curve: An Empirical Assessment

Staff Working Paper 2004-35 Alain Guay, Florian Pelgrin
The authors examine the evidence presented by Galí and Gertler (1999) and Galí, Gertler, and Lopez-Salido (2001, 2003) that the inflation dynamics in the United States can be well-described by the New Keynesian Phillips curve (NKPC).
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C13, C5, C52, E, E3, E31

Common Trends and Common Cycles in Canadian Sectoral Output

Staff Working Paper 2003-44 Francisco Barillas, Christoph Schleicher
The authors examine evidence of long- and short-run co-movement in Canadian sectoral output data. Their framework builds on a vector-error-correction representation that allows them to test for and compute full-information maximum-likelihood estimates of models with codependent cycle restrictions.

A Stochastic Simulation Framework for the Government of Canada's Debt Strategy

Staff Working Paper 2003-10 David Bolder
Debt strategy is defined as the manner in which a government finances an excess of government expenditures over revenues and any maturing debt issued in previous periods. The author gives a thorough qualitative description of the complexities of debt strategy analysis and then demonstrates that it is, in fact, a problem in stochastic optimal control.

Comparing Alternative Output-Gap Estimators: A Monte Carlo Approach

Staff Working Paper 2003-8 Andrew Rennison
The author evaluates the ability of a variety of output-gap estimators to accurately measure the output gap in a model economy. A small estimated model of the Canadian economy is used to generate artificial data.

Testing the Stability of the Canadian Phillips Curve Using Exact Methods

Staff Working Paper 2003-7 Lynda Khalaf, Maral Kichian
Postulating two different specifications for the Canadian Phillips curve (a purely backwardlooking model, and a partly backward-, partly forward-looking model), the authors test for structural breaks in the parameters of the equation. In each case, they account for the possibilities that: (i) breaks can be discrete, or continuous, and (ii) available data samples may be too small to justify using asymptotically valid structural-change tests.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C15, C5, C52, E, E3, E31, E37

Risk, Entropy, and the Transformation of Distributions

Staff Working Paper 2002-11 Mark Reesor, Don McLeish
The exponential family, relative entropy, and distortion are methods of transforming probability distributions. We establish a link between those methods, focusing on the relation between relative entropy and distortion.
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