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401 Results

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

Staff Working Paper 2018-23 Tatjana Dahlhaus, Luca Gambetti
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

Staff Analytical Note 2018-16 Jonathan Lachaine
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

Staff Working Paper 2018-21 Elena Goldman, Xiangjin Shen
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

Staff Working Paper 2018-20 Casey Jones, Geoffrey R. Dunbar
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

Staff Working Paper 2018-14 Luis Uzeda
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

Staff Analytical Note 2018-6 Thibaut Duprey
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.

Can Media and Text Analytics Provide Insights into Labour Market Conditions in China?

The official Chinese labour market indicators have been seen as problematic, given their small cyclical movement and their only-partial capture of the labour force. In our paper, we build a monthly Chinese labour market conditions index (LMCI) using text analytics applied to mainland Chinese-language newspapers over the period from 2003 to 2017.

Dismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation

We use a new real-time database for Canada to study various output gap measures. This includes recently developed measures based on models incorporating many variables as inputs (and therefore requiring real-time data for many variables).
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