Core Inflation
The Bank of Canada uses core CPI inflation, the year-over-year rate of change of the consumer price index excluding food, energy, and the effects of changes in indirect taxes, as the operational guide for monetary policy.
E3 - Prices, Business Fluctuations, and Cycles
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Price Stickiness, Inflation, and Output Dynamics: A Cross-Country Analysis
The sticky-price model of aggregate fluctuations implies that countries with high trend inflation rates should exhibit less-persistent output fluctuations than countries with low trend inflation. -
Non-Parametric and Neural Network Models of Inflation Changes
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. -
The U.S. Capacity Utilization Rate: A New Estimation Approach
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 […] -
Indicator Models of Core Inflation for Canada
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, […] -
Forecasting GDP Growth Using Artificial Neural Networks
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
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 […] -
On the Believable Benefits of Low Inflation
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 […] -
Forecasting Inflation with the M1-VECM: Part Two
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
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 […]