On the Estimation of Euler Equations in the Presence of a Potential Regime Shift
AbstractThe concept of a peso problem is formalized in terms of a linear Euler equation and a nonlinear marginal model describing the dynamics of the exogenous driving process. It is shown that, using a threshold autoregressive model as a marginal model, it is possible to produce time-varying peso premia. A Monte Carlo method and a method based on the numerical solution of integral equations are considered as tools for computing conditional future expectations in the marginal model. A Monte Carlo study illustrates the poor performance of the generalized method of moment (GMM) estimator in small and even relatively large samples. The poor performance is particularly acute in the presence of a peso problem but is also serious in the simple linear case.
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Bibliographic InfoPaper provided by Bank of Finland in its series Research Discussion Papers with number 6/1999.
Length: 36 pages
Date of creation: 03 Jun 1999
Date of revision:
peso problem; Euler equations; GMM; threshold autoregressive models;
Other versions of this item:
- Saikkonen, Pentti & Ripatti, Antti, 2000. "On the Estimation of Euler Equations in the Presence of a Potential Regime Shift," Manchester School, University of Manchester, vol. 68(0), pages 92-121, Supplemen.
- C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
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