Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19 Staff Working Paper 2021-2 James Chapman, Ajit Desai We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52
Unanticipated Defaults and Losses in Canada's Large-Value Payments System, Revisited Staff Discussion Paper 2007-5 Devin Ball, Walter Engert Recent work at the Bank of Canada studied the impact of default in Canada’s large-value payments system, and concluded that participants could readily manage their potential losses (McVanel 2005). In an extension of that work, the authors use a much larger set of daily payments data – with three times as many observations – to […] Content Type(s): Staff research, Staff discussion papers Research Topic(s): Financial institutions, Payment clearing and settlement systems JEL Code(s): E, E4, E44, E47, G, G2, G21
The Bank of Canada's New Quarterly Projection Model, Part 3. The Dynamic Model: QPM Technical Report No. 75 Donald Coletti, Benjamin Hunt, David Rose, Robert Tetlow The Bank of Canada's new Quarterly Projection Model, QPM, combines the short-term dynamic properties necessary to support regular economic projections with the consistent behavioural structure necessary for policy analysis. Content Type(s): Staff research, Technical reports Research Topic(s): Economic models JEL Code(s): C, C5, C53, E, E1, E17
Measurement of the Output Gap: A Discussion of Recent Research at the Bank of Canada Technical Report No. 79 Pierre St-Amant, Simon van Norden In this paper, we discuss some methodologies for estimating potential output and the output gap that have recently been studied at the Bank of Canada. The assumptions and econometric techniques used by the different methodologies are discussed in turn, and applications to Canadian data are presented. Content Type(s): Staff research, Technical reports Research Topic(s): Potential output JEL Code(s): D, D2, D24
A Comparison of Twelve Macroeconomic Models of the Canadian Economy Technical Report No. 94 Denise Côté, John Kuszczak, Jean-Paul Lam, Ying Liu, Pierre St-Amant In this report, the authors examine and compare twelve private and public sector models of the Canadian economy with respect to their paradigm, structure, and dynamic properties. These open-economy models can be grouped into two economic paradigms. Content Type(s): Staff research, Technical reports Research Topic(s): Economic models, Monetary policy and uncertainty JEL Code(s): C, C5, E, E5, E52, E58
Market Valuation and Risk Assessment of Canadian Banks Staff Working Paper 2004-34 Ying Liu, Mingwei Yuan, Eli Papakirykos The authors apply the asset-valuation model developed by Rabinovitch (1989) to six publicly traded Canadian banks over the period 1982–2002. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions JEL Code(s): G, G1, G12, G2, G21
A Comparison of Alternative Methodologies for Estimating Potential Output and the Output Gap Staff Working Paper 1997-5 Chantal Dupasquier, Alain Guay, Pierre St-Amant In this paper, the authors survey some of the recent techniques proposed in the literature to measure the trend component of output or potential output. Given the reported shortcomings of mechanical filters and univariate approaches to estimate potential output, the paper focusses on three simple multivariate methodologies: the multivariate Beveridge-Nelson methodology (MBN), Cochrane's methodology (CO), and the structural VAR methodology with long-run restrictions applied to output (LRRO). Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C13, C5, C52, E, E5, E52
Sample Calibration of the Online CFM Survey Technical Report No. 118 Marie-Hélène Felt, David Laferrière The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples. Content Type(s): Staff research, Technical reports Research Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83
A Search Model of Venture Capital, Entrepreneurship, and Unemployment Staff Working Paper 2005-24 Robin Boadway, Oana Secrieru, Marianne Vigneault The authors develop a search model of venture capital in which the number of successful matches of entrepreneurs and venture capitalists (VCs) at any moment in time is a function of the number of entrepreneurs searching for funds, the number of VCs searching for entrepreneurs, and the number of vacancies posted by each VC. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Fiscal policy, Labour markets JEL Code(s): D, D8, D82, G, G1, G18, G2, G24, H, H2, H21, J, J6, J64
Structural Inflation Models with Real Wage Rigidities: The Case of Canada Staff Working Paper 2009-21 Jean-Marie Dufour, Lynda Khalaf, Maral Kichian Real wage rigidities have recently been proposed as a way of building intrinsic persistence in inflation within the context of New Keynesian Phillips Curves. Using two recent illustrative structural models, we evaluate empirically the importance of real wage rigidities in the data and the extent to which such models provide useful information regarding price stickiness. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Inflation and prices, Labour markets JEL Code(s): C, C1, C13, C5, C52, E, E3, E31