We study an endowment economy with complete markets and heterogeneous agents who do not have rational expectations, but form their beliefs using adaptive learning algorithms that may differ from one individual to another. We show that market completeness allows agents to smooth consumption...

We derive the optimal fiscal policy for a government that is committed to honoring its debt but faces investors which fear a sovereign default. We assume that investors are able to learn from new evidence, as in Marcet and Sargent (1989), so that they can gradually correct their overly...

Under the assumption of bounded rationality, economic agents learn from their past mistaken predictions by combining new and old information to form new beliefs. The purpose of this paper is to examine how the policy-maker, by affecting private agents' learning process, determines the speed at...

This paper briefly reviews the literature on fiscal multipliers and then presents results for the Italian economy obtained by simulating a dynamic general equilibrium model that allows for the possibility (a) that the zero lower bound may be binding and (b) that the initial public debt-to-GDP...

The volume collects the essays presented at the 15th Workshop on Public Finance organised by Banca d'Italia in Perugia from 4 to 6 April 2013. The workshop focused on the link between fiscal policy and macroeconomic imbalances and comprised four sessions. The first session concentrated on the...