E37 - Forecasting and Simulation: Models and Applications - Bank of Canada
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2024-03-28T16:02:30+00:00
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The U.S. Capacity Utilization Rate: A New Estimation Approach
https://www.bankofcanada.ca/1999/09/working-paper-1999-14/
The recent strengh of the U.S. economy and historically low rates of inflation have sparked considerable debate among economists and Federal Reserve officials. In order to better explain the recent behaviour of inflation, some observers have raised the concept of a non-accelerating inflation capacity utilization rate (NAICU). In this study, the author presents a new […]
1999-09-07T08:32:26+00:00
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The U.S. Capacity Utilization Rate: A New Estimation Approach
1999-09-07
Business fluctuations and cycles
Working Paper 1999-14
https://www.bankofcanada.ca/wp-content/uploads/2010/05/wp99-14.pdf
The U.S. Capacity Utilization Rate: A New Estimation Approach
René Lalonde
September 1999
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Indicator Models of Core Inflation for Canada
https://www.bankofcanada.ca/1999/09/working-paper-1999-13/
When there is uncertainty about estimates of the margin of unused capacity in the economy, examining a range of inflation indicators may help in assessing the balance of risks regarding the outlook for inflation. This paper tests a wide range of observable variables for their leading-indicator properties with respect to core inflation, including: commodity prices, […]
1999-09-04T08:27:39+00:00
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Indicator Models of Core Inflation for Canada
1999-09-04
Inflation and prices
Working Paper 1999-13
https://www.bankofcanada.ca/wp-content/uploads/2010/05/wp99-13.pdf
Indicator Models of Core Inflation for Canada
Richard Dion
September 1999
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E37
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Forecasting GDP Growth Using Artificial Neural Networks
https://www.bankofcanada.ca/1999/01/working-paper-1999-3/
Financial and monetary variables have long been known to contain useful leading information regarding economic activity. In this paper, the authors wish to determine whether the forecasting performance of such variables can be improved using neural network models. The main findings are that, at the 1-quarter forecasting horizon, neural networks yield no significant forecast improvements. […]
1999-01-21T08:20:41+00:00
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Forecasting GDP Growth Using Artificial Neural Networks
1999-01-21
Econometric and statistical methods
Monetary and financial indicators
Working Paper 1999-3
https://www.bankofcanada.ca/wp-content/uploads/2010/05/wp99-3.pdf
Forecasting GDP Growth Using Artificial Neural Networks
Greg Tkacz
Sarah Hu
January 1999
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