Econometric and statistical methods

• Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts

  Staff Working Paper 2018-52 Julien Champagne, Guillaume Poulin-Bellisle, Rodrigo Sekkel

  We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests.

  Content Type(s): Staff Research, Staff Working Papers Topic(s): Econometric and statistical methods, Economic models, Inflation targets, Monetary Policy JEL Code(s): C, C3, C32, E, E1, E17, E3, E37

• Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches

  Staff Analytical Note 2018-34 Andrew Lee-Poy

  In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model.

  Content Type(s): Staff Research, Staff Analytical Notes Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Financial stability, Monetary and financial indicators, Recent economic and financial developments JEL Code(s): C, C0, C01, C1, C13, C14, C18, C3, C32, C5, C51, C52, E, E3, E32, E6, E66, G, G0, G01, G1, G18

• The Size and Destination of China’s Portfolio Outflows

  Staff Discussion Paper 2018-11 Rose Cunningham, Eden Hatzvi, Kun Mo

  The size of China’s financial system raises the possibility that the liberalization of its capital account could have a large effect on the global financial system. This paper provides a counterfactual scenario analysis that estimates what the size and direction of China’s overseas portfolio investments would have been in 2015 if China had had no restrictions on these outflows.

  Content Type(s): Staff Research, Staff Discussion Papers Topic(s): Balance of payments and components, Econometric and statistical methods, International topics JEL Code(s): C, C2, C23, F, F2, F21, F3, F32, G, G1, G15

• Disaggregating Household Sensitivity to Monetary Policy by Expenditure Category

  Staff Analytical Note 2018-32 Tony Chernis, Corinne Luu

  Because the Bank of Canada has started withdrawing monetary stimulus, monitoring the transmission of these changes to monetary policy will be important. Subcomponents of consumption and housing will likely respond differently to a monetary policy tightening, both in terms of the aggregate effect and timing.

  Content Type(s): Staff Research, Staff Analytical Notes Topic(s): Business fluctuations and cycles, Domestic demand and components, Econometric and statistical methods, Housing, Interest rates, Recent economic and financial developments, Transmission of monetary policy JEL Code(s): C, C3, C32, E, E2, E21, E22, E4, E43, E47, E5, E52

• Monetary Policy Uncertainty: A Tale of Two Tails

  Staff Working Paper 2018-50 Tatjana Dahlhaus, Tatevik Sekhposyan

  We document a strong asymmetry in the evolution of federal funds rate expectations and map this observed asymmetry into measures of monetary policy uncertainty. We show that periods of monetary policy tightening and easing are distinctly related to downside (policy rate is higher than expected) and upside (policy rate is lower than expected) uncertainty.

  Content Type(s): Staff Research, Staff Working Papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Monetary policy communications, Transmission of monetary policy, Uncertainty and monetary policy JEL Code(s): C, C1, C18, C3, C32, E, E0, E02, E4, E43, E5, E52

• How Long Does It Take You to Pay? A Duration Study of Canadian Retail Transaction Payment Times

  Staff Working Paper 2018-46 Geneviève Vallée

  Using an exclusive data set of payment times for retail transactions made in Canada, I show that cash is the most time-efficient method of payment (MOP) when compared with payments by debit and credit cards. I model payment efficiency using Cox proportional hazard models, accounting for consumer choice of MOP.

  Content Type(s): Staff Research, Staff Working Papers Topic(s): Bank notes, Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C2, C25, C3, C36, C4, C41, D, D2, D23, E, E4, E41, E42

• Sluggish Forecasts

  Staff Working Paper 2018-39 Monica Jain

  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.

  Content Type(s): Staff Research, Staff Working Papers Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): E, E3, E31, E37

• Nowcasting Canadian Economic Activity in an Uncertain Environment

  Staff Discussion Paper 2018-9 Tony Chernis, Rodrigo Sekkel

  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.

  Content Type(s): Staff Research, Staff Discussion Papers Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C53, E, E3, E37, E5, E52

• A Look Inside the Box: Combining Aggregate and Marginal Distributions to Identify Joint Distributions

  Staff Working Paper 2018-29 Marie-Hélène Felt

  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.

  Content Type(s): Staff Research, Staff Working Papers Topic(s): Bank notes, Digital Currencies, Econometric and statistical methods JEL Code(s): C, C1, C14, D, D1, D14, E, E4, E41

• Bitcoin Awareness and Usage in Canada: An Update

  Staff Analytical Note 2018-23 Christopher Henry, Kim Huynh, Gradon Nicholls

  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.

  Content Type(s): Staff Research, Staff Analytical Notes Topic(s): Bank notes, Digital Currencies, Econometric and statistical methods JEL Code(s): C, C1, C12, E, E4