Econometric and statistical methods
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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
This note provides an update of the results of the 2017 Bitcoin Omnibus Survey (BTCOS) conducted by the Bank of Canada from December 12 to 15, 2017. The BTCOS was previously conducted in November and December 2016 and the results were reported in Henry et al. (2017, forthcoming). -
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. -
The (Un)Demand for Money in Canada
A novel dataset from the Bank of Canada is used to estimate the deposit functions for banknotes in Canada for three denominations: $1,000, $100 and $50. The broad flavour of the empirical findings is that denominations are different monies, and the structural estimates identify the underlying sources of the non-neutrality. -
State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models
Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood. -
Asymmetric Risks to the Economic Outlook Arising from Financial System Vulnerabilities
When financial system vulnerabilities are elevated, they can give rise to asymmetric risks to the economic outlook. To illustrate this, I consider the economic outlook presented in the Bank of Canada’s October 2017 Monetary Policy Report in the context of two key financial system vulnerabilities: high levels of household indebtedness and housing market imbalances.