We analyse some practical aspects of implementing adaptive learning in the context of forward-looking linear models. In particular, we focus on how to set initial conditions for three popular algorithms, namely recursive least squares, stochastic gradient and constant gain learning. We propose...

We study the extent to which self-referential adaptive learning can explain stylized asset pricing facts in a general equilibrium framework. In particular, we analyze the effects of recursive least squares and constant gain algorithms in a production economy and a Lucas type endowment economy....

In this paper, we analyze the importance of the frequency of decision making for macroeconomic dynamics. We explain how the frequency of decision making (period length) and the unit of time measurement (calibration frequency) differ and study the implications of this difference for macroeconomic...

Our aim is to provide insights into some basic facts of US government debt management by introducing simple financial frictions in a Ramsey model of fiscal policy. We find that the share of short bonds in total U.S. debt is large, persistent, and highly correlated with total debt. A well known...

In the context of a sticky price DSGE model subject to government expenditure and preference shocks where governments issue only nominal non-contingent bonds we examine the implications for optimal inflation of changes in the level and average maturity of government debt. We analyse these...

We show how to model portfolio models in the presence of long bonds. Specifically we study optimal fiscal policy under incomplete markets where the government issues bonds of maturity N 1. Assuming the existence of long bonds introduces an additional intertemporal mechanism that makes taxes...

The booms and busts in U.S. stock prices over the post-war period can to a large extent be explained by fluctuations in investors` subjective capital gains expectations. Survey measures of these expectations display excessive optimism at market peaks and excessive pessimism at market throughs....

We study the issue of income convergence across countries and regions with a Bayesian model which allows us to use information in an efficient and flexible way. We argue that the very slow convergence rates to a common level of per-capita income found, for example, by Barro and Sala-i-Martin, is...

The aim of this Paper is to test for the extent of incompleteness in the market for US Government debt. We show that when a government pursues an optimal tax policy and issues a full set of contingent claims, the value of debt has the same or less persistence than other variables in the economy...

Introducing bounded rationality into a standard consumption based asset pricing model with a representative agent and time separable preferences strongly improves empirical performance. Learning causes momentum and mean reversion of returns and thereby excess volatility, persistence of...