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Policy-makers in the United States over the past 15 to 20 years seem to have been cautious in setting policy: empirical estimates of monetary policy rules such as Taylor's (1993) rule are much less aggressive than those derived from optimizing models.

We assess the implications of price indexation for estimated frequency of price adjustment in sticky price models of business cycles. These models predominantly assume that non-reoptimized prices are indexed to lagged or average inflation.

This paper compares the performance of simple inflation targeting (IT) and price-level path targeting (PLPT) rules to stabilize the macroeconomy, in response to a series of shocks, similar to those seen in Canada and the United States over the 1983 to 2004 period.

Models for macroeconomic forecasts do not usually take into account the risk of a crisis—that is, a sudden large decline in gross domestic product (GDP). However, policy-makers worry about such GDP tail risk because of its large social and economic costs.

In this paper we explore variables that may have an impact on multifactor productivity (MFP) in the long-run using the KLEMS database for Canada. We estimate a dynamic heterogeneous panel error-correction model of twelve 2-digit level industries.

The author estimates the relationship between the provincial credit ratings, as assessed by Standard & Poor's, and a number of economic variables, using the ordered probit methodology. All the variables in her estimation prove to be significant. In particular, she finds that downgrades take place at almost the same speed at different levels of the debt-to-GDP ratio, based on a pooled sample of nine provinces.

Most central banks effect changes to their target or policy rate in discrete increments (e.g., multiples of 0.25%) following public announcements on scheduled dates. Still, for most applications, researchers rely on the assumption that the policy rate changes linearly with economic conditions and they do not distinguish between dates with and without scheduled announcements.

Several empirical studies suggest that exchange rate pass-through has declined in recent years in industrialized countries.

The intertemporal current account approach predicts that the current account of a small open economy is independent of global shocks, and that responses of the current account to country-specific shocks depend on the persistence of the shocks. The author shows that these predictions impose cross-equation restrictions (CERS) on a structural vector autoregression (SVAR).

We break down the exchange rate based on an explicit link between fixed income and currency markets. We isolate a foreign exchange risk premium and show it is the main driver of the exchange rate between the Canadian and US dollars, especially on monetary policy and macroeconomic news announcement days.