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are also reported on. The first shows that cointegration vector parameter estimation error is crucial when using VEC … alternative models, due to parameter estimation error, indicating that caution needs to be exercised when interpreting the results …
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Having efficient and accurate samplers for simulating the posterior distribution is crucial for Bayesian analysis. We develop a generic posterior simulator called the "dynamic striated Metropolis-Hastings (DSMH)" sampler. Grounded in the Metropolis-Hastings algorithm, it draws its strengths from...
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