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We construct the first algorithm for the perfect foresight solution of otherwise linear models with occasionally binding constraints, with fixed terminal conditions, that is guaranteed to return a solution in finite time, if one exists. We also provide a proof of the inescapability of the "curse...
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lagged expectations on the equilibrium properties of indeterminate DSGE models, such as the serial correlation properties of …
Persistent link: https://www.econbiz.de/10012734732
The standard approach to solving linear DSGE models is to apply the QZ method. It is a one-shot algorithm that leaves …
Persistent link: https://www.econbiz.de/10015206920
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solution of linear DSGE models. We present and compare two Structure-Preserving Doubling Algorithms (SDAs) to other competing …
Persistent link: https://www.econbiz.de/10014444739
This paper presents and compares Bernoulli iterative approaches for solving linear DSGE models. The methods are … methods compare favorably in solving DSGE models to the QZ, providing similar accuracy as measured by the forward error of the …
Persistent link: https://www.econbiz.de/10014252497
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of DSGE models, linearly or nonlinearly approximated, is identified as a potential area of application for prefetching …. -- Prefetching ; Metropolis-Hastings ; Parallel Computing ; DSGE models ; Optimal acceptance rate ; Markov Chain Monte Carlo (MCMC) …
Persistent link: https://www.econbiz.de/10003779724
Persistent link: https://www.econbiz.de/10013367160
To create their rankings, university-ranking agencies usually combine multiple performance measures into a composite index. However, both rankings and index scores are sensitive to the weights assigned to performance measures. This paper uses a stochastic dominance efficiency methodology to...
Persistent link: https://www.econbiz.de/10014112285