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This paper presents two complementary approaches to estimating the appropriate quantity of settlement balances needed to effectively operate monetary policy under a floor system in Canada.

Growth has slowed in many emerging-market economies (EMEs) since the 2007–09 global financial crisis, reflecting both cyclical and structural factors. In this context, it will be in-creasingly important for EMEs to raise potential growth by maintaining steady progress on structural reforms. How do structural reforms generally support growth? What are the re-form priorities for EMEs over recent history and today? Finally, what will be the impact of planned structural reforms on potential output growth among the world’s larger EMEs? These are some of the questions considered by the authors.

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).

Many studies in macroeconomics argue that financial frictions do not amplify the impacts of real shocks. This finding is based on models without endogenous default on loans and bank capital. Using a model featuring endogenous interactions between firm default and bank capital, this paper revisits the propagation mechanisms of real and financial shocks.

Of particular concern to monetary policy-makers is the considerable unreliability of financial variables for predicting GDP growth and inflation.

We compare the Federal Reserve’s asset purchase programs with those implemented by the Bank of England and the Swedish Riksbank, and the Swiss National Bank’s reserve expansion program.

There are indications that business dynamism has declined in advanced economies. In particular, firm entry and exit rates have fallen, suggesting that the creative destruction process has lost some of its vitality. Meanwhile, productivity growth has slowed. Some believe that lower entry and exit rates partly explain the weaker productivity growth.

Walsh's paper highlights many useful lessons that can be learned from the conventional framework and its various extensions. However, the financial crisis provides a stark and costly reminder of just how incomplete the standard model is.

Affine models describe the stylized time-series properties of the term structure of interest rates in a reasonable manner, they generalize relatively easily to higher dimensions, and a vast academic literature exists relating to their implementation. This combination of characteristics makes the affine class a natural introductory point for modelling interest rate dynamics.

During the period of 2008 to 2012, the rules for government-backed mortgage insurance were tightened on four occasions. In this note, we estimate the effects through a simple econometric exercise using a vector error-correction model (VECM).