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428 Results

Non-Parametric and Neural Network Models of Inflation Changes

Staff Working Paper 2000-7 Greg Tkacz
Previous studies have shown that interest rate yield spreads contain useful information about future changes in inflation. However, such studies have for the most part focused on linear models, ignoring potential non-linearities between interest rates and inflation.
Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Inflation and prices JEL Code(s): C, C5, C51, E, E3, E31

The U.S. Capacity Utilization Rate: A New Estimation Approach

Staff Working Paper 1999-14 René Lalonde
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 […]
Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles JEL Code(s): E, E3, E32, E37

Indicator Models of Core Inflation for Canada

Staff Working Paper 1999-13 Richard Dion
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, […]
Content Type(s): Staff research, Staff working papers Topic(s): Inflation and prices JEL Code(s): E, E3, E31, E37

Forecasting GDP Growth Using Artificial Neural Networks

Staff Working Paper 1999-3 Greg Tkacz, Sarah Hu
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. […]

Dynamic Employment and Hours Effects of Government Spending Shocks

Staff Working Paper 1999-1 Mingwei Yuan, Wenli Li
In this paper, we analyze the dynamic behaviour of employment and hours worked per worker in a stochastic general equilibrium model with a matching mechanism between vacancies and unemployed workers. The model is estimated for the United States using the Generalized Methods of Moments (GMM) estimation technique. An increase in government spending raises hours worked […]
Content Type(s): Staff research, Staff working papers Topic(s): Fiscal policy, Labour markets JEL Code(s): E, E2, E24, E3, E32, E6, E62, J, J6, J64

On the Believable Benefits of Low Inflation

Staff Working Paper 1998-15 Christopher Ragan
This paper reviews the existing theoretical and empirical literature addressing the benefits of low inflation. The ultimate goal is to arrive at a set of benefits in which a monetary authority can have genuine confidence. I argue that the current state of economic research—both empirical and theoretical—provides little basis for believing in significant observable benefits […]
Content Type(s): Staff research, Staff working papers Topic(s): Inflation: costs and benefits JEL Code(s): E, E3, E31

Forecasting Inflation with the M1-VECM: Part Two

Staff Working Paper 1998-6 Walter Engert, Scott Hendry
A central bank's main concern is the general direction of future inflation, and not transitory fluctuations of the inflation rate. As a result, this paper is concerned with forecasting a simple measure of the trend of inflation, the eight-quarter CPI-inflation rate. The primary objective is to improve the M1-based vector-error-correction model (VECM) developed by Hendry […]

Predicting Canadian Recessions Using Financial Variables: A Probit Approach

Staff Working Paper 1998-5 Joseph Atta-Mensah, Greg Tkacz
This paper examines the ability of a number of financial variables to predict Canadian recessions. Regarding methodology, we follow closely the technique employed by Estrella and Mishkin (1998), who use a probit model to predict U.S. recessions up to eight quarters in advance. Our main finding is that the spread between the yield on Canadian […]
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