August 15, 2013 Big Data Analysis: The Next Frontier Bank of Canada Review - Summer 2013 Nii Ayi Armah The formulation of monetary policy at the Bank of Canada relies on the analysis of a broad set of economic information. Greater availability of immediate and detailed information would improve real-time economic decision making. Technological advances have provided an opportunity to exploit “big data” - the vast amount of digital data from business transactions, social media and networked computers. Big data can be a complement to traditional information sources, offering fresh insight for the monitoring of economic activity and inflation. Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Econometric and statistical methods, Monetary and financial indicators JEL Code(s): C, C5, C53, C6, C63, C8, C80
Assessing global potential output growth and the US neutral rate: April 2021 Staff Analytical Note 2021-5 Thomas J. Carter, Xin Scott Chen, Ali Jaffery, Christopher Hajzler, Jonathan Lachaine, Peter Shannon, Subrata Sarker, Graeme Westwood, Beiling Yan We expect global potential output growth to rise to 3 percent by 2022. Relative to the last assessment in October 2020, potential output growth has been revised up across all the regions. The range of the US neutral rate remains unchanged relative to the autumn 2020 assessment. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Interest rates, Monetary policy, Potential output, Productivity JEL Code(s): E, E1, E2, E4, E5, F, F0, O, O4
A Generalized Endogenous Grid Method for Default Risk Models Staff Working Paper 2021-11 Youngsoo Jang, Soyoung Lee Models with default options are hard to solve. We propose an extension of the endogenous grid method that solves default risk models more efficiently and accurately. Content Type(s): Staff research, Staff working papers Research Topic(s): Credit and credit aggregates, Credit risk management JEL Code(s): C, C6, C63, E, E3, E37
Why Do Central Banks Make Public Announcements of Open Market Operations? Staff Working Paper 2020-35 Narayan Bulusu Central banks communicate the results of open market operations. This helps participants in financial markets more accurately estimate the prevailing demand and supply conditions in the market for overnight loans. Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Monetary policy implementation JEL Code(s): D, D5, D52, E, E5, E58, G, G2, G21
Estimates of the Sticky-Information Phillips Curve for the United States, Canada, and the United Kingdom Staff Working Paper 2002-19 Hashmat Khan, Zhenhua Zhu Mankiw and Reis (2001a) have proposed a "sticky-information"-based Phillips curve (SIPC) to address some of the concerns with the "sticky-price"-based new Keynesian Phillips curve. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Inflation and prices JEL Code(s): E, E3, E31
Identification and Estimation of Risk Aversion in First-Price Auctions with Unobserved Auction Heterogeneity Staff Working Paper 2016-23 Serafin Grundl, Yu Zhu This paper shows point identification in first-price auction models with risk aversion and unobserved auction heterogeneity by exploiting multiple bids from each auction and variation in the number of bidders. The required exclusion restriction is shown to be consistent with a large class of entry models. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C14, C5, C57, D, D4, D44, L, L0, L00
Unintended Consequences of the Home Affordable Refinance Program Staff Working Paper 2024-11 Phoebe Tian, Chen Zheng We investigate the unintended consequences of the Home Affordable Refinance Program (HARP). Originally designed to help borrowers refinance after the 2008–09 global financial crisis, HARP inadvertently strengthened the market power of incumbent lenders by creating a cost advantage for them. Despite a 2013 policy rectifying this cost advantage, we still find significant welfare losses for borrowers. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions JEL Code(s): G, G2, G21, G5, G51, L, L5, L51
Technological Progress and Monetary Policy: Managing the Fourth Industrial Revolution Staff Discussion Paper 2019-11 Stephen S. Poloz This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the “fourth industrial revolution.” Content Type(s): Staff research, Staff discussion papers Research Topic(s): Economic models, Financial stability, Monetary policy and uncertainty, Monetary policy framework JEL Code(s): C, C5, E, E3, O, O1, O11, O3, O33
Payment Coordination and Liquidity Efficiency in the New Canadian Wholesale Payments System Staff Discussion Paper 2022-3 Francisco Rivadeneyra, Nellie Zhang We study the impact of the Bank of Canada’s choice of settlement mechanism in Lynx on participant behaviors, liquidity usage, payment delays and the overall operational efficiency of the new system. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Payment clearing and settlement systems JEL Code(s): C, C5, E, E4, E42, E5, E58
Modelling Canadian mortgage debt and payments in a semi-structural model Staff Analytical Note 2024-1 Fares Bounajm, Austin McWhirter We show how Canadian mortgage debt dynamics can be modelled in a semi-structural macroeconomic model, such as the Bank of Canada’s LENS. The model we propose accounts for Canada’s unique mortgage debt structure. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Economic models, Monetary policy transmission JEL Code(s): E, E2, E27, E4, E43, E47, G, G5, G51