ElasticSearch Score: 6.6004157
November 20, 1995
This is the second in a series of semi-annual reports designed to increase the transparency and understanding of Canadian monetary policy.
ElasticSearch Score: 6.547211
January 29, 2000
The Canadian economy regained strong momentum in 1999 as the U.S. economy remained vigorous, the global economy recovered, and commodity prices moved upwards.
ElasticSearch Score: 6.489694
November 7, 2001
Two major issues dominate the analysis and policy discussion in this Monetary Policy Report: the nature and extent of the global economic slowdown that began late last year and the consequences of the terrorist attacks in the United States.
ElasticSearch Score: 6.37625
November 16, 1998
During the past six months, global economic uncertainties have intensified, largely as a result of developments in emerging-market economies.
ElasticSearch Score: 6.2133183
April 24, 2008
Growth in the global economy began to slow in the fourth quarter of 2007 and the first quarter of 2008. This reflected the effects of the slowdown in the U.S. economy and ongoing dislocations in global financial markets.
ElasticSearch Score: 6.152447
October 23, 2002
Over the past year, Canada’s economy has outperformed the economies of virtually all the other major industrial countries.
ElasticSearch Score: 6.142535
This equilibrium model explains the trend in long-term yields and business-cycle movements in short-term yields and yield spreads. The less-frequent inverted yield curves (and less-frequent recessions) after the 1990s are due to recent secular stagnation and procyclical inflation expectations.
ElasticSearch Score: 6.0238957
May 1, 2001
At the time of the November 2000 Monetary Policy Report, although signs of the anticipated slowing of the U.S. economy were becoming apparent, the momentum of the global economy was considered strong.
ElasticSearch Score: 6.0217276
Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.
ElasticSearch Score: 5.7597756
We study competition for consumer attention, in which platforms can sacrifice service quality for attention. A platform can choose the “addictiveness” of its service.