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The Federal Reserve’s quantitative easing (QE) program has been accompanied by a flow of funds into emerging-market economies (EMEs) in search of higher returns.

This article describes experimental economics, in general, and new developments in experimental macroeconomics, in particular. The approach has a clear niche in providing evidence on economic phenomena that cannot be observed directly or that are difficult to measure. Experimental work conducted by Bank of Canada economists has shed light on a number of issues important to monetary policy, such as the relative efficacy between price-level and inflation targeting, and the nature of inflation expectations formation.

When constrained by the zero lower bound, some central banks have communicated a threshold that must be met before short-term interest rates would be permitted to rise. Simulation results for Canada show that forward guidance that is conditional on achieving a price-level threshold can theoretically raise demand and inflation expectations by significantly more than unemployment thresholds. This superior performance is attributable to the fact that the price-level threshold depends on past inflation outcomes. In practice, however, history-dependent thresholds such as this might be more challenging for central banks to communicate.

While quantitative easing (QE) in the United States likely increased capital flows to emerging-market economies (EMEs), putting upward pressure on asset prices and exchange rates, diverging fundamentals between advanced economies and EMEs were also important drivers. Evidence suggests that the benefits of QE to EMEs, in higher global demand and increased confidence, appear to outweigh the costs. When advanced economies begin to normalize monetary policy, the best defence for EMEs against any potential instability is likely to be further strengthening of their macroeconomic and financial policy frameworks.

At a time when the Bank is expecting a rotation of demand toward exports and investment, and transformative global trends are placing increasing emphasis on innovation, technology and organizational learning, an understanding of the competitiveness strategies of Canadian firms and the factors affecting them has become particularly relevant. This article summarizes findings from a Bank of Canada survey of 151 firms designed to extract signals on elements of firm strategy and organizational capital in order to help inform the macroeconomic outlook.

Financial crises in emerging economies in the 1980s and 1990s often entailed abrupt declines in foreign capital inflows, improvements in trade balance, and large declines in output and total factor productivity (TFP).

This paper examines the business cycle linkages that propagate industry-specific business cycle shocks throughout the economy in a way that (sometimes) generates aggregated cycles. The transmission of sectoral business cycles is modelled through a multivariate Markov-switching model, which is estimated by Gibbs sampling.

This paper contributes to the literature by documenting labour income share fluctuations in emerging-market economies and proposing an explanation for them. Time-series data indicate that emerging markets differ from developed markets in terms of changes in the labour share over the business cycle.

Macroeconomists have traditionally ignored the behavior of temporary price markdowns (“sales”) by retailers. Although sales are common in the micro price data, they are assumed to be unrelated to macroeconomic phenomena and generally filtered out.

This paper discusses how central banking is evolving in light of recent experience, with particular emphasis on the incorporation of uncertainty into policy decision-making.