This paper analyzes the propagation of monetary policy shocks through the creation of credit in an economy. Models of the monetary transmission mechanism typically feature responses which last for a few quarters contrary to what the empirical evidence suggests. To propagate the impact of...

Learning is a subject of intense research in experimental economics. We contribute to this debate by presenting persuasive evidence that learning took place among uninformed heterogeneous agents on a quasi-stock market during a large-scale natural experiment that by size, incentives, and...

In this paper we extend the analysis of optimal monetary policy rules in terms of stability of an economy, started by Evans and Honkapohja (2003b), to the case of heterogeneous private agents learning. Following Giannitsarou (2003), we pose the question about the applicability of the...

I provide sufficient conditions and necessary conditions for stability of a structurally heterogeneous economy under heterogeneous learning of agents. These conditions are written in terms of the structural heterogeneity independent of heterogeneity in learning. I have found an easily...

There is no consensus in the literature as to which model should be used to estimate the stock returns and the cost of capital in the emerging markets. The Capital Asset Pricing Model (CAPM) that is most often used for this purpose in the developed markets has a poor empirical record and is...

Rietz (1988) and Barro (2006) subject consumption and dividends to rare disasters in the growth rate. We extend their framework and subject consumption and dividends to rare disasters in the growth persistence. Wemodel growth persistence by means of two hidden types of economic slowdowns:...

We examine a trivariate time series model that is subject to a regime switch, where the shifts are governed by an unobserved, two-state variable that follows a Markov process. The analysis is performed in a Bayesian framework developed by Albert and Chib (1993), where the unobserved states are...