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Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon—instead, I shift focus to severe downside risk (i.e., crashes).

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Beginning with a review of the adoption of inflation targeting in a broad group of countries, Paulin focuses on changes in the design of inflation-targeting frameworks in light of fifteen years of accumulated experience. Included in the discussion are the use of numerical targets and ranges, the policy horizon, supporting institutional policy structures, and communication, including the publication of forecasts. A recurring theme is how much flexibility an inflation-targeting regime allows. The article concludes that the changes made to the frameworks have been relatively modest since their adoption, but in concert with the improved credibility that has resulted from central banks meeting their inflation-control targets, they have allowed an increasingly nuanced response to economic shocks.

In a laboratory experiment, we ask participants to predict inflation using three different policy regimes: inflation targeting—with and without greater communication of the target—average inflation targeting and price level targeting. We use participants’ predictions to compare the level and stability of inflation under each regime.

We assess the complex macroeconomic implications of Canada’s recent population increases. We find that newcomers significantly boost the non-inflationary, potential growth of the economy, but existing imbalances in the housing sector may be exacerbated. Greater housing supply is needed to complement the long-term economic benefits of population growth.

When lenders cannot directly identify behavioural and rational borrowers, they use type scoring to track the likelihood of a borrower’s type. This leads to the partial pooling of borrowers, which results in rational borrowers subsidizing borrowing costs for behavioural borrowers. This, in turn, reduces the effectiveness of regulatory policies that target mistakes by behavioural borrowers.

This article describes the major trends in the growth of labour productivity in Canada since the early 1960s and summarizes our current knowledge about the causes of the historical patterns. Particular attention is given to the period since the mid-1990s during which productivity growth has been significantly higher in the United States than in Canada. The author reviews the empirical evidence on the contribution of information and communication technology to the recent difference between Canadian and U.S. rates of productivity growth. Other determinants of a country's productivity performance, such as human capital formation and openness to international trade, are also examined. The article concludes with an assessment of the prospects for an increase in the trend rate of productivity growth in Canada over the coming years.

This paper estimates an open-economy dynamic stochastic general equilibrium model with Bayesian techniques to analyse the macroeconomic effects of the European Central Bank’s (ECB’s) quantitative easing (QE) programme. Using data on government debt stocks and yields across maturities, we identify the parameter governing portfolio adjustment in the private sector.

Standard new trade models depict producers as heterogeneous in total factor productivity. In this paper, I adapt the Eaton and Kortum (2002) model of international trade to incorporate tradable intermediate goods and producer heterogeneity in value-added productivity.

When it comes to understanding the influence of labour costs on inflation, average wage growth is a misleading indicator because it is affected by composition effects. We propose an alternative measure that corrects for these effects by using microdata from the Labour Force Survey. Our new measure has many desirable properties, including reduced volatility and a better relationship with labour market fundamentals.