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In a small open economy fluctuations in the real exchange rate can affect plant turnover, and thus aggregate productivity, by altering the makeup of plants that populate the market. An appreciation of the local currency increases the level of competition in the domestic market as import competition intensifies and export opportunities shrink, forcing less productive plants from the market and compelling new entrants to be more competitive than they otherwise would have been.

This paper uses Tobit models and data for union contracts to examine the extent of downward nominal-wage rigidity in Canada. To be consistent with important stylized facts, the models allow the variance of the notional wage-change distribution to be time-varying and test for menu-cost effects.

In this report, we evaluate several simple monetary policy rules in twelve private and public sector models of the Canadian economy. Our results indicate that none of the simple policy rules we examined is robust to model uncertainty, in that no single rule performs well in all models.

We assess the importance of downward nominal wage rigidity (DNWR) in Canada using both firm- and worker-level microdata. In particular, we analyze employer-level administrative data from the Major Wage Settlements (MWS) and household-based survey data from the Survey of Labour Income Dynamics (SLID).

Awareness of operational risk has increased greatly in recent years, both at individual financial institutions and for payment, clearing, and settlement systems (PCSS). PCSS consist of networks of interconnected elements (i.e., central operators, participants, and settlement agents); operational problems at any one of the key elements have the potential to disrupt the system as a whole and negatively affect financial stability.

The author re-examines the demand-for-money theory in an intertemporal optimization model. The demand for real money balances is derived to be a function of real income and the rates of return of all financial assets traded in the economy.

Advances in variance analysis permit the splitting of the total quadratic variation of a jump diffusion process into upside and downside components. Recent studies establish that this decomposition enhances volatility predictions, and highlight the upside/downside variance spread as a driver of the asymmetry in stock price distributions.

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 paper uses real-time briefing forecasts prepared for the Federal Open Market Committee (FOMC) to provide estimates of historical changes in the design of U.S. monetary policy and in the implied central-bank target for inflation. Empirical results support a description of policy with an effective inflation target of roughly 7 percent in the 1970s.