Econometric and statistical methods

• Cash and COVID-19: The Effects of Lifting Containment Measures on Cash Demand and Use

  Staff Discussion Paper 2021-3 Heng Chen, Walter Engert, Kim Huynh, Gradon Nicholls, Julia Zhu

  Using Bank Note Distribution System data on the demand for cash up to September 2020, we find that demand was strong. This is true even though cash use for payments declined early in the pandemic. When mobility restrictions and lockdown measures were eased, cash use for payments increased sharply but remained less popular than electronic methods of payment.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Bank notes, Central bank research, Coronavirus disease (COVID-19), Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, C9, E, E4, O, O5, O54

• Networking the Yield Curve: Implications for Monetary Policy

  Staff Working Paper 2021-4 Tatjana Dahlhaus, Julia Schaumburg, Tatevik Sekhposyan

  We study how different monetary policies affect the yield curve and interact. Our study highlights the importance of the spillover structure across the yield curve for policy-making.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Interest rates, Monetary policy implementation JEL Code(s): C, C1, C18, C2, C21, C5, C53, E, E4, E43, E44, E5, E52

• 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 Topic(s): Econometric and statistical methods, International topics, Monetary policy communications, Monetary policy framework JEL Code(s): C, C6, C63, E, E5, E52, E58

• 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. We find this approach yields a significant increase in forecasting precision over a linear benchmark model. This model can help policy-makers before official data are released.

  Content Type(s): Staff research, Staff working papers 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

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

  Staff Working Paper 2020-56 Marie-Hélène Felt

  Because they mimic desirable features of cash and are typically used for smaller-value transactions, contactless payment cards are a competitive alternative to cash. This study investigates whether contactless credit cards are an important contributor to the decline in the transactional usage of cash, using Canadian panel data between 2010 and 2017.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods, Financial services JEL Code(s): C, C3, C33, D, D1, D12, E, E4, E41

• 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 Topic(s): Central bank research, Econometric and statistical methods, Inflation and prices, Inflation targets JEL Code(s): C, C3, C33, D, D8, D83, D84, E, E3, E31

• 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 Topic(s): Econometric and statistical methods, Labour markets, Potential output, Productivity JEL Code(s): C, C3, C33, J, J2, J24, J6, J62

• 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 Topic(s): Econometric and statistical methods, Inflation and prices, Monetary policy transmission JEL Code(s): C, C1, C11, C3, C32, E, E3, E31, E5, E52

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

  Staff Working Paper 2020-42 Ruben Hipp

  Various business interactions of banks create a network of hidden relationships, which cannot be directly inferred from the correlation of bank stock returns. Without causality, it remains unclear how policy interventions change the network. Thus, this paper aims to find the causal network as anticipated by investors.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Financial stability JEL Code(s): C, C1, C3, C32, C5, C58, L, L1, L14

• The New Benchmark for Forecasts of the Real Price of Crude Oil

  Staff Working Paper 2020-39 Amor Aniss Benmoussa, Reinhard Ellwanger, Stephen Snudden

  How can we assess the quality of a forecast? We propose a new benchmark to evaluate forecasts of temporally aggregated series and show that the real price of oil is more difficult to predict than we thought.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C1, C5, C53, Q, Q4, Q47