2011
DOI: 10.2139/ssrn.1950568
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State-Dependent Probability Distributions in Non Linear Rational Expectations Models

Abstract: In this paper, we solve a large class of non-linear rational expectations models with regime switching, i.e. recurring shifts in parameters. The regime-switches and the shocks may follow state-dependent probability distributions. First, we provide sufficient conditions for the existence of a unique stable equilibrium using a perturbation approach.Then, we provide Taylor expansions of the solution in subclasses of models. Finally, we put forward that state-dependent fluctuations of transition probabilities can … Show more

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Cited by 18 publications
(5 citation statements)
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“…See Davig and Leeper (2007) and Barthelemy and Marx (2011). 5 We do not include the recent U.S. data in order to avoid the zero lower bound period.…”
Section: Estimation Methodsmentioning
confidence: 99%
“…See Davig and Leeper (2007) and Barthelemy and Marx (2011). 5 We do not include the recent U.S. data in order to avoid the zero lower bound period.…”
Section: Estimation Methodsmentioning
confidence: 99%
“…This result is an improvement of Proposition 1 in Barthélemy and Marx (2011) as this result gives necessary and sufficient conditions while Barthélemy and Marx (2011) only give sufficient conditions. Proposition 2.…”
Section: Determinacy Conditions For Bounded Solutionsmentioning
confidence: 72%
“…We base our proof on the formalism introduced by Woodford (1986) and recently used in Barthélemy and Marx (2011). We show that the model can be reformulated as a functional equation (1 − R)φ = ψ 0 where R is an operator, φ the solution and ψ 0 a function depending on shocks and regimes.…”
Section: Determinacy Conditions For Bounded Solutionsmentioning
confidence: 99%
See 1 more Smart Citation
“…3 This is the approach followed by Barthelemy and Marx (2011), Foerster et al (2013Foerster et al ( , 2014 and in this paper.…”
mentioning
confidence: 98%