C - Mathematical and Quantitative Methods

• Chinese Monetary Policy and Text Analytics: Connecting Words and Deeds

  Staff working paper 2021-3 Jeannine Bailliu, Xinfen Han, Barbara Sadaba, Mark Kruger

  What are the main drivers behind the monetary policy reaction function of the People’s Bank of China?

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, E, E5, E52, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission

• Qualitative Field Research in Monetary Policy Making

  Staff discussion paper 2021-1 Chris D'Souza, Jane Voll

  Central banks conduct research involving in-depth interviews with external parties—but little is known about how this information affects monetary policy. We address this gap by analyzing open-ended interviews with senior central bank economic and policy staff who work closely with policy decision-makers.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C8, C83, E, E3, E37, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting

• 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 JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Money and payments, Retail payments

• Losing Contact: The Impact of Contactless Payments on Cash Usage

  Staff working paper 2020-56 Marie-Hélène Felt

  Contactless payment cards are a competitive alternative to cash. Using Canadian panel data from 2010 to 2017, this study investigates whether contactless credit cards are an important contributor to the decline in the transactional use of cash. 

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C33, D, D1, D12, E, E4, E41 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes, Retail payments

• A Reference Guide for the Business Outlook Survey

  Staff discussion paper 2020-15 David Amirault, Naveen Rai, Laurent Martin

  The Business Outlook Survey (BOS) has become an important part of monetary policy deliberations at the Bank of Canada and is also well known in Canadian policy and financial circles. This paper compiles more than 20 years of experience conducting the BOS and serves as a comprehensive reference manual.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C8, C83, D, D2, D22, E, E3, E32 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Real economy and forecasting

• Strategic Uncertainty in Financial Markets: Evidence from a Consensus Pricing Service

  Staff working paper 2020-55 Lerby Ergun, Andreas Uthemann

  We look at the informational content of consensus pricing in opaque over-the-counter markets. We show that the availability of price data informs participants mainly about other participants’ valuations, rather than about the value of a financial security.

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C58, D, D5, D53, D8, D83, G, G1, G12, G14 Research Theme(s): Financial markets and funds management, Market functioning, Market structure

• The Determinants of Consumers’ Inflation Expectations: Evidence from the US and Canada

  Staff working paper 2020-52 Charles Bellemare, Rolande Kpekou Tossou, Kevin Moran

  We compare the determinants of consumer inflation expectations in the US and Canada by analyzing two current surveys. We find that Canadian consumers rely more on professional forecasts and the history of actual inflation when forming their expectations, while US consumers rely more on their own lagged expectations.

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C33, D, D8, D83, D84, E, E3, E31 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission

• Earnings Dynamics and Intergenerational Transmission of Skill

  Staff working paper 2020-46 Lance Lochner, Youngmin Park

  How are your past, current and future earnings related to those of your parents? We explore this by using 37 years of Canadian tax data on two generations.

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C33, J, J2, J24, J6, J62 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Demographics and labour supply

• Understanding Trend Inflation Through the Lens of the Goods and Services Sectors

  Staff working paper 2020-45 Yunjong Eo, Luis Uzeda, Benjamin Wong

  The goods and services sectors have experienced considerably different dynamics over the past three decades. Our goal in this paper is to understand how such contrasting behaviors at the sectoral level affect the aggregate level of trend inflation dynamics.

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C3, C32, E, E3, E31, E5, E52 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission

• On Causal Networks of Financial Firms: Structural Identification via Non-parametric Heteroskedasticity

  Staff working paper 2020-42 Ruben Hipp

  Banks’ business interactions create a network of relationships that are hidden in the correlations of bank stock returns. But for policy interventions, we need causality to understand how the network changes. Thus, this paper looks for the causal network anticipated by investors.

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C3, C32, C5, C58, L, L1, L14 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods