The instability of macroeconomic variables is usually ruled out by rational expectations. We propose a generalization of the rational expectations framework to estimate possible temporary unstable paths. Our approach yields drifting parameters and stochastic volatility. The methodology allows the data to choose between different possible alternatives: determinacy, indeterminacy and instability. We apply our methodology to US inflation dynamics in the '70s through the lens of a simple New Keynesian model. When unstable RE paths are allowed, the data unambiguously select them to explain the stagflation period in the '70s.Thus, our methodology suggests that US inflation dynamics in the '70s is better described by unstable rational equilibrium ...
This paper reviews a variety of alternative approaches to the specification of the expectations of e...
This paper provides an explanation for the run-up of U. S. inflation in the 1960s and 1970s and the ...
Financial support from National Science Foundation Grant No. SES-1559209 is gratefully acknowledged....
We propose a generalization of the rational expectations framework to allow for temporarily unstable...
We propose a generalization of the rational expectations frame- work to allow for temporarily unstab...
We argue that dynamic indeterminacy in structural models can help rationalize statistical regulariti...
This paper examines an alternative microfoundation for the Phillips Curve by considering a possibili...
A monetary economy subject to expectational sunspots is prone to instability, in the sense of multip...
This paper introduces a form of boundedly-rational inflation expectations in the New Keynesian Phill...
This paper examines inflation dynamics in the United States since 1960, with a particular focus on t...
The motivation of this paper is to understand the effects of coupling a macroeconomic model of infla...
This paper reviews a variety of alternative approaches to the specification of the expectations of e...
Rational expectations (RE) frameworks featuring informational constraints are becoming increasingly ...
This paper develops new time series measures of inflation uncertainty in the United States in the po...
This paper introduces a form of boundedly-rational expectations into an otherwise standard New-Keyne...
This paper reviews a variety of alternative approaches to the specification of the expectations of e...
This paper provides an explanation for the run-up of U. S. inflation in the 1960s and 1970s and the ...
Financial support from National Science Foundation Grant No. SES-1559209 is gratefully acknowledged....
We propose a generalization of the rational expectations framework to allow for temporarily unstable...
We propose a generalization of the rational expectations frame- work to allow for temporarily unstab...
We argue that dynamic indeterminacy in structural models can help rationalize statistical regulariti...
This paper examines an alternative microfoundation for the Phillips Curve by considering a possibili...
A monetary economy subject to expectational sunspots is prone to instability, in the sense of multip...
This paper introduces a form of boundedly-rational inflation expectations in the New Keynesian Phill...
This paper examines inflation dynamics in the United States since 1960, with a particular focus on t...
The motivation of this paper is to understand the effects of coupling a macroeconomic model of infla...
This paper reviews a variety of alternative approaches to the specification of the expectations of e...
Rational expectations (RE) frameworks featuring informational constraints are becoming increasingly ...
This paper develops new time series measures of inflation uncertainty in the United States in the po...
This paper introduces a form of boundedly-rational expectations into an otherwise standard New-Keyne...
This paper reviews a variety of alternative approaches to the specification of the expectations of e...
This paper provides an explanation for the run-up of U. S. inflation in the 1960s and 1970s and the ...
Financial support from National Science Foundation Grant No. SES-1559209 is gratefully acknowledged....