We study the impact of the publication of central banks� macroeconomic projections on the dynamic properties of an economy where (i) private agents have incomplete information and form their expectations using recursive learning algorithms; (ii) the short-term nominal interest rate is set...

We analyse a simplified New-Keynesian model with an unobserved aggregate cost-push shock in which firms and the central bank have different information about the shock. We consider a linear policy rule where a pure inflation targeting central bank decides how much to react to the shock given its...

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...

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...

We study firms� incentives to acquire costly information in booms and recessions to understand the role of endogenous information in explaining business cycles. We find that when the economy has been in a recession in the previous period, and firms enter the current period with a...

We study an inflow of buyers who are less elastic because they lack both time and information. Theory predicts that sellers increase prices to expand surplus appropriation, even if marginal costs are non-increasing, but this effect weakens as market competition intensifies. Data from Italian...

In this paper we analyze the role played by self-confidence, modeled as beliefs about one�s ability, in shaping task choices. We propose a model in which fully rational agents exploit all the available information to update their beliefs using Bayes� rule, eventually learning their...

The paper surveys the literature on the measurement of innovation activity and evaluates the position of Italy with respect to the other major European countries. Innovation has been measured from different perspectives: the environment in which firms operate, firms' commitment, its outcome....

This paper builds a dynamic model of the information flow between partially informed financial institutions and a public agency. The financial institutions decide how to allocate their portfolio between a risk-free technology with a known payoff and a risky technology whose payoff is unknown....