Staff working papers

• How Do People View Price and Wage Inflation?

  Staff Working Paper 2022-34 Monica Jain, Olena Kostyshyna, Xu Zhang

  This paper examines household-level data from the Canadian Survey of Consumer Expectations (CSCE) to understand households’ expectations about price and wage inflation, how those expectations link to views about labour market conditions and the subsequent impact on households’ outlook for real spending growth.

  Content Type(s): Staff research, Staff working papers Topic(s): Inflation and prices, Monetary policy communications JEL Code(s): C, C8, C83, D, D8, D84, E, E2, E21, E24, E3, E31

• A Horse Race of Monetary Policy Regimes: An Experimental Investigation

  Staff Working Paper 2022-33 Olena Kostyshyna, Luba Petersen, Jing Yang

  How should central banks design monetary policy in stable times and during recessions? We run a horse race between five monetary policy frameworks in an experimental laboratory to assess how well the different approaches can manage the public’s expectations and stabilize the economy.

  Content Type(s): Staff research, Staff working papers Topic(s): Inflation targets, Monetary policy, Monetary policy communications, Monetary policy framework JEL Code(s): C, C9, D, D8, D84, E, E5, E52, E58

• Cyber Risk and Security Investment

  Staff Working Paper 2022-32 Toni Ahnert, Michael Brolley, David Cimon, Ryan Riordan

  We develop a principal-agent model of cyber-attacking with fee-paying clients who delegate security decisions to financial platforms. We derive testable implications about clients’ vulnerability to cyber attacks and about the fees charged.

  Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Financial services, Financial stability, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): D, D7, D78, D8, D81, G, G1, G18, G2, G21, G23

• Comparison of Bayesian and Sample Theory Parametric and Semiparametric Binary Response Models

  Staff Working Paper 2022-31 Xiangjin Shen, Iskander Karibzhanov, Hiroki Tsurumi, Shiliang Li

  We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models.

  Content Type(s): Staff research, Staff working papers Topic(s): Credit risk management, Econometric and statistical methods JEL Code(s): C, C1, C14, C3, C35, C5, C51, C6, C63, D, D1