This paper reviews recent approaches to modeling the labour market and assesses their implications for inflation dynamics through both their effect on marginal cost and on price-setting behaviour. In a search and matching environment, we consider the following modeling setups: right-to-manage...

The recent crisis in the Eurozone has led to much discussion about the structure of labour markets in different Eurozone economies. In particular, there has been much talk of the need for structural labour market reform in the Eurozone periphery. But, there are many aspects of labour market...

Against the backdrop of continuing adjustment in EU labour markets in response to the Great Recession and the sovereign debt crisis, the European System of Central Banks (ESCB) conducted the third wave of the Wage Dynamics Network (WDN) survey in 2014-15 as a follow-up to the two previous WDN...

This paper reviews recent approaches to modeling the labour market, and assesses their implications for inflation dynamics through both their effect on marginal cost and on price-setting behavior. In a search and matching environment, we consider the following modeling setups: right-to-manage...

This paper addresses a very European issue, the consolidation of securities trading and settlement infrastructures. In a two-country model, we analyze welfare implications of different types of consolidation. We find that horizontal integration of settlement systems is better than vertical...

Recent research suggests that quantitative easing (QE) may affect a broad range of asset prices through a portfolio balance channel. Using novel security-level holding data of individual US mutual funds, we establish evidence that portfolio rebalancing occurred both within and across funds....

This paper reports estimates of the long-run costs and benefits of banks funding more of their assets with loss-absorbing capital, or equity. Measuring those costs requires careful consideration of a wide range of issues about how shifts in funding affect required rates of return and on how...

This paper examines whether machine learning (ML) algorithms can outperform a linear model in predicting monthly growth in Canada of both house prices and existing home sales. The aim is to apply two widely used ML techniques (support vector regression and multilayer perceptron) in economic...

The COVID-19 pandemic forced policy-makers to deploy a range of unprecedented measures to support the economy. In this discussion paper, we discuss the outcome of the economic measures implemented in the context of financial stability in Canada. We also present related challenging policy...