This paper provides evidence on the effect of fiscal stimulus on economic activity in countries with different degrees of institutional quality. The identification strategy makes use of data on military expenditure to instrument government consumption using local lineal projections as presented...

This paper documents the extension of MEDSEA, a small open economy DSGE model for Malta, with a detailed energy sector. The model contains relatively rich fiscal and energy blocks allowing the model to simulate the transitional costs related to the economy's decarbonisation, together with the...

We estimate the fiscal (spending) multiplier using quarterly U.S. data, 1986-2017. We define government spending shocks as actual minus expected expenditure growth, the latter obtained from the Survey of Professional Forecasters. We employ the ST-VAR model with the local projections method. A...

This paper uses state-level data to estimate the effect of federal defense spending shocks on state real activity. We find moderately strong evidence that for the average state the fiscal multiplier is larger during recessions. However, there is substantial heterogeneity across the...

In this paper, we explore the proposition that the optimal capital income tax is zero using an overlapping generations model. We prove that for a large class of preferences, the optimal capital income tax along the transition path and in steady state is non-zero. For a version of the model...

Total public debt in most emerging markets grew before and after the pandemic with a sizable share in foreign currency. Along this trend, interest payments increased even in the presence of active fiscal rules in some countries. How should debt management of public debt be set under a fiscal...

This paper estimates the impact on the US economy of four types of uncertainty about (i) government spending, (ii) tax changes, (iii) public debt sustainability and (iv) monetary policy. Following a one standard deviation shock, uncertainty about debt sustainability has the largest and most...