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3046 Results

Macroprudential Rules and Monetary Policy when Financial Frictions Matter

Staff Working Paper 2012-6 Jeannine Bailliu, Césaire Meh, Yahong Zhang
This paper examines the interaction between monetary policy and macroprudential policy and whether policy makers should respond to financial imbalances. To address this issue, we build a dynamic general equilibrium model that features financial market frictions and financial shocks as well as standard macroeconomic shocks.

Bitcoin Awareness and Usage in Canada: An Update

Staff Analytical Note 2018-23 Christopher Henry, Kim Huynh, Gradon Nicholls
The results of our 2017 Bitcoin Omnibus Survey (December 12 to 15, 2017) when compared with those from 2016 show that Bitcoin “awareness” increased from 64 to 85 per cent, while ownership increased from 2.9 to 5.0 per cent. Most Bitcoin purchasers are using the cryptocurrency as an investment and not as a means of payment for goods or services.

Canada's Exchange Rate Regime and North American Economic Integration: The Role of Risk-Sharing Mechanisms

Staff Working Paper 1999-17 Zahir Antia, Ramdane Djoudad, Pierre St-Amant
Our contribution in this paper is threefold. First, we survey the empirical literature on consumption smoothing mechanisms of regional economic shocks. Second, building on the work of Asdrubali et al. (1996), we present evidence on the role played by various smoothing mechanisms for specific economic shocks affecting Canadian provinces. Third, we assess whether smoothing mechanisms […]
Content Type(s): Staff research, Staff working papers Research Topic(s): Exchange rate regimes, Exchange rates JEL Code(s): F, F3, F33, F36, G, G1, G15

'Lean' versus 'Rich' Data Sets: Forecasting during the Great Moderation and the Great Recession

Staff Working Paper 2010-37 Marco J. Lombardi, Philipp Maier
We evaluate forecasts for the euro area in data-rich and ‘data-lean' environments by comparing three different approaches: a simple PMI model based on Purchasing Managers' Indices (PMIs), a dynamic factor model with euro area data, and a dynamic factor model with data from the euro plus data from national economies (pseudo-real time data).
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C50, C53, E, E3, E37, E4, E47

The Impact of Unemployment Insurance and Unsecured Credit on Business Cycles

Staff Working Paper 2023-22 Michael Irwin
This paper studies how unsecured consumer credit impacts the extent to which unemployment insurance (UI) policies smooth aggregate consumption fluctuations over the business cycle. Using a general equilibrium real business cycle model, I find that unsecured credit amplifies the extent to which UI smooths cyclical consumption fluctuations.

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 Research Topic(s): Monetary policy implementation, Monetary policy transmission JEL Code(s): C, C9, D, D8, D84, E, E3, E5, E52

The Impact of the Global Business Cycle on Small Open Economies: A FAVAR Approach for Canada

Staff Working Paper 2011-2 Garima Vasishtha, Philipp Maier
Building on the growing evidence on the importance of large data sets for empirical macroeconomic modeling, we use a factor-augmented VAR (FAVAR) model with more than 260 series for 20 OECD countries to analyze how global developments affect the Canadian economy.

Estimating DSGE-Model-Consistent Trends for Use in Forecasting

The workhorse DSGE model used for monetary policy evaluation is designed to capture business cycle fluctuations in an optimization-based format. It is commonplace to log-linearize models and express them with variables in deviation-from-steady-state format.
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