Posts

• Central Bank Communication That Works: Lessons from Lab Experiments

  Staff Working Paper 2019-21 Oleksiy Kryvtsov, Luba Petersen

  We use controlled laboratory experiments to test the causal effects of central bank communication on economic expectations and to distinguish the underlying mechanisms of those effects. In an experiment where subjects learn to forecast economic variables, we find that central bank communication has a stabilizing effect on individual and aggregate outcomes and that the size of the effect varies with the type of communication.

  Content Type(s): Staff research, Staff working papers Topic(s): Monetary policy implementation, Monetary policy transmission JEL Code(s): C, C9, D, D8, D84, E, E3, E5, E52

• Outlook for Electric Vehicles and Implications for the Oil Market

  Staff Analytical Note 2019-19 Étienne Latulippe, Kun Mo

  The market for electric vehicles (EVs) is growing rapidly. Subsidies and technological improvements are expected to increase the market share of EVs over the coming decade. In its base-case scenario, the International Energy Agency (IEA) expects EV use to rise from 4 million vehicles in 2018 to 120 million by 2030, or from 0.3 per cent to over 7 per cent of the global car fleet.

  Content Type(s): Staff research, Staff analytical notes Topic(s): International topics JEL Code(s): Q, Q4, Q47

• Online Job Seekers in Canada: What Can We Learn from Bing Job Queries?

  Staff Analytical Note 2019-18 André Binette, Karyne B. Charbonneau, Nicholas Curtis, Gabriela Galassi, Scott Counts, Justin Cranshaw

  Labour markets in Canada and around the world are evolving rapidly with the digital economy. Traditional data are adapting gradually but are not yet able to provide timely information on this evolution.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Central bank research, Labour markets, Monetary policy JEL Code(s): C, C8, C80, E, E2, E24, J, J2, J21

• A Structural Model of the Global Oil Market

  Staff Analytical Note 2019-17 Reinhard Ellwanger

  This note presents a structural vector autoregressive (SVAR) model of the global oil market. The model identifies four types of shocks with different economic interpretations: oil supply shocks, oil-market-specific demand shocks, storage demand shocks and shocks to global economic growth.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Economic models JEL Code(s): Q, Q4, Q41, Q43
• June 4, 2019

  CFIF Meeting (June 4, 2019)

  Content Type(s): Meetings Source(s): Canadian Fixed-Income Forum