C - Mathematical and Quantitative Methods

• (Optimal) Monetary Policy with and without Debt

  Staff Working Paper 2021-5 Boris Chafwehé, Rigas Oikonomou, Romanos Priftis, Lukas Vogel

  How should policy be designed at high debt levels, when fiscal authorities have little room to adjust taxes? Assigning the monetary authority a role in achieving debt sustainability makes it less effective in stabilizing inflation and output.

  Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Fiscal policy, Monetary policy, Monetary policy framework JEL Code(s): C, C1, C11, E, E3, E31, E5, E52, E58, E6, E62

• 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

• 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 Topic(s): Business fluctuations and cycles, Monetary policy, Monetary policy and uncertainty JEL Code(s): C, C8, C83, E, E3, E37, E5, E52

• 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 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