Budget rules can be defined as legislated or constitutional constraints on government deficits, taxes, expenditures, or debt. This paper reviews the budget rules recently legislated in six of Canada's provinces and both of its territories, as well as budget rules in other OECD countries. In...

We develop a closed economy model to study the interactions among sovereign risk premia, fiscal limits, and fiscal policy. The stochastic fiscal limits, which measure the ability and willingness of the government to service its debt, arise endogenously from a dynamic Laffer curve. The...

The paper explores the macroeconomic consequences of fiscal consolidations whose timing and composition - either tax- or spending-based - are uncertain. We find that the composition of the fiscal consolidation, its duration, the monetary policy stance, the level of government debt, and...

In this paper, we analyze the dynamic behaviour of employment and hours worked per worker in a stochastic general equilibrium model with a matching mechanism between vacancies and unemployed workers. The model is estimated for the United States using the Generalized Methods of Moments (GMM)...

The author studies the macroeconomic consequences of discretionary changes in the fiscal policy instruments for Canada. He adopts a semi-structural vector autoregression framework. Restrictions are based on institutional interactions between some policy and non-policy instruments that mimic a...

The author empirically assesses the effects of institutional and political factors on the need and willingness of governments to make large fiscal adjustments. In contrast to earlier studies, which consider the role of political economy determinants only during periods of fiscal consolidation,...

This paper contributes to the debate on fiscal multipliers, in the context of a structural model. I estimate a micro-founded dynamic stochastic general equilibrium model, that features a rich fiscal policy block and a transmission mechanism for government spending shocks, using Bayesian...