Under general conditions, linear decision rules of agents with rational expectations are equivalent to restricted error corrections. However, empirical rejections of rational expectation restrictions are the rule, rather than the exception, in macroeconomics. Rejections often are conditioned on the assumption that agents aim to smooth only the levels of actions or are subject to geometric random delays. Generalizations of dynamic frictions on agent activities are suggested that yield closed-form, higher-order decision rules with improved statistical fits and infrequent rejections of rational expectations restrictions. Properties of these generalized "rational" error corrections are illustrated for producer pricing in manufacturing industrie...
In models where privately informed agents interact, agents may need to form higher order expectation...
We modify the concept of consistent expectations equilibria introduced in Hommes and Sorger (1998) i...
In this paper, I argue that agents may prefer learning a misspecified model instead of learning the ...
Systems of forward-looking linear decision rules can be formulated as vector "rational" error correc...
This paper reviews a variety of alternative approaches to the specification of the expectations of e...
This paper reviews a variety of alternative approaches to the specification of the expectations of e...
ADInternational audienceIn economics in situations where there is uncertainty one has to attribute s...
This paper studies decision making by agents who value optimism, but are unsure of their environment...
In Chapter I, I present a dynamic, linear-quadratic rational expectations (RE) model of output and p...
Abstract: The partial information rational expectations solution to a general linear multivariate ex...
This thesis studies the effect of individual bounded rationality on aggregate macroeconomic dynamics...
This paper provides an alternative to the theory of rational expectations (RE). Its central idea is ...
The Rational Expectations Hypothesis was first developed as a theoretical technique aimed at explain...
In this paper I study the relationship between rationality and asset prices when agents have heterog...
This article surveys critically the literature on the integration of rational expectations into macr...
In models where privately informed agents interact, agents may need to form higher order expectation...
We modify the concept of consistent expectations equilibria introduced in Hommes and Sorger (1998) i...
In this paper, I argue that agents may prefer learning a misspecified model instead of learning the ...
Systems of forward-looking linear decision rules can be formulated as vector "rational" error correc...
This paper reviews a variety of alternative approaches to the specification of the expectations of e...
This paper reviews a variety of alternative approaches to the specification of the expectations of e...
ADInternational audienceIn economics in situations where there is uncertainty one has to attribute s...
This paper studies decision making by agents who value optimism, but are unsure of their environment...
In Chapter I, I present a dynamic, linear-quadratic rational expectations (RE) model of output and p...
Abstract: The partial information rational expectations solution to a general linear multivariate ex...
This thesis studies the effect of individual bounded rationality on aggregate macroeconomic dynamics...
This paper provides an alternative to the theory of rational expectations (RE). Its central idea is ...
The Rational Expectations Hypothesis was first developed as a theoretical technique aimed at explain...
In this paper I study the relationship between rationality and asset prices when agents have heterog...
This article surveys critically the literature on the integration of rational expectations into macr...
In models where privately informed agents interact, agents may need to form higher order expectation...
We modify the concept of consistent expectations equilibria introduced in Hommes and Sorger (1998) i...
In this paper, I argue that agents may prefer learning a misspecified model instead of learning the ...