Examining recent revisions to CPI-common Staff Analytical Note 2022-15 Elyse Sullivan Unusually large revisions to CPI-common in recent months stem from increased common movements across consumer price index components amid broad inflationary pressures. With recent revisions, CPI-common is more closely aligned with the Bank of Canada’s other two preferred measures of core inflation. However, caution is necessary when interpreting real-time estimates of CPI-common in the current environment. Content Type(s): Staff research, Staff analytical notes Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C13, C18, E, E3, E31
Calculating Effective Degrees of Freedom for Forecast Combinations and Ensemble Models Staff Discussion Paper 2022-19 James Younker This paper derives a calculation for the effective degrees of freedom of a forecast combination under a set of general conditions for linear models. Computing effective degrees of freedom shows that the complexity cost of a forecast combination is driven by the parameters in the weighting scheme and the weighted average of parameters in the auxiliary models. Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods JEL Code(s): C, C0, C01, C02, C1, C13, C5, C50, C51, C52, C53
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
Bootstrapping Mean Squared Errors of Robust Small-Area Estimators: Application to the Method-of-Payments Data Staff Working Paper 2018-28 Valéry Dongmo Jiongo, Pierre Nguimkeu 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. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods JEL Code(s): C, C1, C13, C15, C8, C83, E, E4, E41
New Housing Registrations as a Leading Indicator of the BC Economy Staff Discussion Paper 2016-3 Calista Cheung, Dmitry Granovsky Housing starts and building permits data are commonly used as leading indicators of economic activity. In British Columbia, all new homes must be registered with the Homeowner Protection Office, a branch of BC Housing, before the issuance of building permits and the start of construction. Content Type(s): Staff research, Staff discussion papers Topic(s): Business fluctuations and cycles, Housing, Regional economic developments JEL Code(s): C, C1, C13, C5, C53, E, E3, E32, E37
Debt Overhang and Deleveraging in the US Household Sector: Gauging the Impact on Consumption Staff Working Paper 2015-47 Bruno Albuquerque, Georgi Krustev Using a novel dataset for the US states, this paper examines whether household debt and the protracted debt deleveraging help explain the dismal performance of US consumption since 2007, in the aftermath of the housing bubble. Content Type(s): Staff research, Staff working papers Topic(s): Credit and credit aggregates, Econometric and statistical methods, International topics JEL Code(s): C, C1, C13, C2, C23, C5, C52, D, D1, D12, H, H3, H31
Sheep in Wolf’s Clothing: Using the Least Squares Criterion for Quantile Estimation Staff Working Paper 2014-24 Heng Chen Estimation of the quantile model, especially with a large data set, can be computationally burdensome. This paper proposes using the Gaussian approximation, also known as quantile coupling, to estimate a quantile model. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C13, C14, C2, C21
A New Linear Estimator for Gaussian Dynamic Term Structure Models Staff Working Paper 2013-10 Antonio Diez de los Rios This paper proposes a novel regression-based approach to the estimation of Gaussian dynamic term structure models that avoids numerical optimization. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods, Interest rates JEL Code(s): C, C1, C13, E, E4, E43, G, G1, G12
Méthodologie de construction de séries de taux de défaut pour l’industrie canadienne Staff Discussion Paper 2013-2 Ramdane Djoudad, Étienne Bordeleau Default rates are series commonly used in stress testing. In Canada, as in many other countries, there are no historical series available for sectoral default rates on bank loans to firms. Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, Financial institutions, Financial stability JEL Code(s): C, C1, C13, C18, G, G2, G21, G3, G33
Semi-Structural Models for Inflation Forecasting Staff Working Paper 2010-34 Maral Kichian, Rumler Fabio, Paul Corrigan We propose alternative single-equation semi-structural models for forecasting inflation in Canada, whereby structural New Keynesian models are combined with time-series features in the data. Several marginal cost measures are used, including one that in addition to unit labour cost also integrates relative price shocks known to play an important role in open-economies. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C13, C5, C53, E, E3, E31