Econometric and statistical methods
-
-
Sluggish Forecasts
Given the influence that agents’ expectations have on key macroeconomic variables, it is surprising that very few papers have tried to extrapolate agents’ “true” expectations directly from the data. This paper presents one such approach, starting with the hypothesis that there is sluggishness in inflation and real GDP growth forecasts. -
Nowcasting Canadian Economic Activity in an Uncertain Environment
This paper studies short-term forecasting of Canadian real GDP and its expenditure components using combinations of nowcasts from different models. Starting with a medium-sized data set, we use a suite of common nowcasting tools for quarterly real GDP and its expenditure components. -
A Look Inside the Box: Combining Aggregate and Marginal Distributions to Identify Joint Distributions
This paper proposes a method for estimating the joint distribution of two or more variables when only their marginal distributions and the distribution of their aggregates are observed. Nonparametric identification is achieved by modelling dependence using a latent common-factor structure. -
Bitcoin Awareness and Usage in Canada: An Update
The results of our 2017 Bitcoin Omnibus Survey (December 12 to 15, 2017) when compared with those from 2016 show that Bitcoin “awareness” increased from 64 to 85 per cent, while ownership increased from 2.9 to 5.0 per cent. Most Bitcoin purchasers are using the cryptocurrency as an investment and not as a means of payment for goods or services. -
Bootstrapping Mean Squared Errors of Robust Small-Area Estimators: Application to the Method-of-Payments Data
This paper proposes a new bootstrap procedure for mean squared errors of robust small-area estimators. We formally prove the asymptotic validity of the proposed bootstrap method and examine its finite sample performance through Monte Carlo simulations. -
On the Evolution of the United Kingdom Price Distributions
We propose a functional principal components method that accounts for stratified random sample weighting and time dependence in the observations to understand the evolution of distributions of monthly micro-level consumer prices for the United Kingdom (UK). -
Noisy Monetary Policy
We introduce limited information in monetary policy. Agents receive signals from the central bank revealing new information (“news") about the future evolution of the policy rate before changes in the rate actually take place. However, the signal is disturbed by noise. -
Applying the Wage-Common to Canadian Provinces
As at the national level, available sources of hourly wage data for Canadian provinces sometimes send conflicting signals about wage growth. This note has two objectives. First, we develop a common measure of provincial wages (the provincial wage-common) to better capture the underlying wage pressures, reflecting the overall trend across all data sources. -
Analysis of Asymmetric GARCH Volatility Models with Applications to Margin Measurement
We explore properties of asymmetric generalized autoregressive conditional heteroscedasticity (GARCH) models in the threshold GARCH (GTARCH) family and propose a more general Spline-GTARCH model, which captures high-frequency return volatility, low-frequency macroeconomic volatility as well as an asymmetric response to past negative news in both autoregressive conditional heteroscedasticity (ARCH) and GARCH terms.
- « Previous
- 1
- 2
- 3
- 4
- Next »