Econometric and statistical methods

• 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.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Financial markets, Monetary policy implementation, Monetary policy transmission JEL Code(s): C, C1, C18, C3, C32, E, E0, E02, E4, E43, E5, E52

• 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.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Econometric and statistical methods, Labour markets, Recent economic and financial developments JEL Code(s): C, C3, C38, J, J3

• 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.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C58, G, G1, G19, G2, G23, G28

• 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.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods JEL Code(s): C, C3, C31, C36, E, E4, E41