E - Macroeconomics and Monetary Economics
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Predicting Financial Stress Events: A Signal Extraction Approach
The objective of this paper is to propose an early warning system that can predict the likelihood of the occurrence of financial stress events within a given period of time. To achieve this goal, the signal extraction approach proposed by Kaminsky, Lizondo and Reinhart (1998) is used to monitor the evolution of a number of economic indicators that tend to exhibit an unusual behaviour in the periods preceding a financial stress event. -
Global Inflation Dynamics in the Post-Crisis Period: What Explains the Twin Puzzle?
Inflation dynamics in advanced countries have produced two consecutive puzzles during the years after the global financial crisis. The first puzzle emerged when inflation rates over the period 2009-11 were consistently higher than expected, although economic slack in advanced countries reached its highest level in recent history. -
Search Frictions, Financial Frictions and Labour Market Fluctuations in Emerging Markets
This paper examines the role of the extensive and intensive margins of labour input in the context of a business cycle model with a financial friction. We document significant variation in the hours worked per worker for many emerging-market economies. Both employment and hours worked per worker are positively correlated with each other and with output. -
Housework and Fiscal Expansions
We build an otherwise-standard business cycle model with housework, calibrated consistently with data on time use, in order to discipline consumption-hours complementarity and relate its strength to the size of fiscal multipliers. -
Commodity Price Co-Movement and Global Economic Activity
Guided by a macroeconomic model in which non-energy commodity prices are endogenously determined, we apply a new factor-based identification strategy to decompose the historical sources of changes in commodity prices and global economic activity. -
Analyzing and Forecasting the Canadian Economy through the LENS Model
The authors describe the key features of a new large-scale Canadian macroeconomic forecasting model developed over the past two years at the Bank of Canada. -
Forecasting Short-Term Real GDP Growth in the Euro Area and Japan Using Unrestricted MIDAS Regressions
In this paper, the authors develop a new tool to improve the short-term forecasting of real GDP growth in the euro area and Japan. This new tool, which uses unrestricted mixed-data sampling (U-MIDAS) regressions, allows an evaluation of the usefulness of a wide range of indicators in predicting short-term real GDP growth. -
Consumer Attitudes and the Epidemiology of Inflation Expectations
This paper studies the formation of consumers’ inflation expectations using micro-level data from the Michigan Survey. It shows that beyond the well-established socio-economic determinants of inflation expectations such as gender, income or education, other characteristics such as the households’ financial situation and their purchasing attitudes also matter. -
Retail Payment Innovations and Cash Usage: Accounting for Attrition Using Refreshment Samples
We exploit the panel dimension of the Canadian Financial Monitor (CFM) data to estimate the impact of retail payment innovations on cash usage. We estimate a semiparametric panel data model that accounts for unobserved heterogeneity and allows for general forms of non-random attrition.