This paper has developed a solution algorithm for linear rational expectation models under imperfect information. Imperfect information in this paper means that some decision makings are based on smaller information sets than others. The algorithm generates the solution in the form of k_t+1 =...

This paper investigates the relevancy of the "Firm-Specific Return Variation" (FSRV) as a measure of stock price informativeness. For this purpose, we study the link between FSRV and stock excess returns on the American market over the period 1986–2001. After controlling for size effects, we...

This paper considers the cross-sectional aggregation of nonlinear decision rules derived from intertemporal optimization problems under uncertainty, examining in particular (i) the role of aggregation across decision rules of heterogeneous decision makers as a source of variation and persistence...

This paper considers the estimation of a number of commonly used single-equation linear models, all of which have rationally expected future explanatory variables. Fully efficient and less efficient instrumental variable estimators are proposed in each case. The choice of estimation method is...