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likelihood estimation method set forth by Aquaro, Bailey and Pesaran (2015), we rely on a Markov Chain Monte Carlo (MCMC …) estimation methodology. MCMC estimates as applied here with non-informative priors will produce estimates equal to those from …
Persistent link: https://www.econbiz.de/10011460317
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wide range of estimation procedures. A Monte Carlo study is conducted for time-varying parameter models such as generalized …
Persistent link: https://www.econbiz.de/10011295703
the system. I develop Markov chain Monte Carlo algorithms for model estimation, and apply the model to two studies in …
Persistent link: https://www.econbiz.de/10013121224
This paper studies the joint dynamics of U.S. inflation and the average inflation predictions of the Survey of Professional Forecasters (SPF) on a sample running from 1968Q4 to 2014Q2. The joint data generating process (DGP) of these data consists of the unobserved components (UC) model of Stock...
Persistent link: https://www.econbiz.de/10013026339
This paper studies the joint dynamics of real-time U.S. inflation and average inflation predictions of the Survey of Professional Forecasters (SPF) based on sample ranging from 1968Q4 to 2017Q2. The joint data generating process (DGP) comprises an unobserved components (UC) model of inflation...
Persistent link: https://www.econbiz.de/10012922666
Hospital emergency departments are often overused by patients that do not really need urgent care. These admissions are one of the major factors contributing to hospital costs, which should not be allowed to compromise the response and effectiveness of the National Health Services (SNS). The aim...
Persistent link: https://www.econbiz.de/10012483285
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This paper tests the usefulness of time-varying parameters when forecasting with mixed-frequency data. For this we compare the forecast performance of bridge equations and unrestriced MIDAS models with constant and time-varying parameters. An out-of-sample forecasting exercise with US real-time...
Persistent link: https://www.econbiz.de/10011691636