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states and model variables, which is sparse and banded in many economic applications and allows for efficient sampling. The … existing literature on precision-based sampling is focused on complete-data applications, whereas the proposed samplers in this …
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This paper compares two single-equation approaches from the recent nowcast literature: Mixed-data sampling (MIDAS …
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enabling incorporation of neighboring structures and easy sampling schemes. Different sampling schemes are available and may be …
Persistent link: https://www.econbiz.de/10012007896
instance of precision-based sampling methods that operate on the inverse variance-covariance matrix of the states (also known … other instances of precision-based sampling, computational gains are considerable. Relevant applications include trend …
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We note that the existence of the maximum likelihood estimates for Poisson regression depends on the data configuration. Because standard software does not check for this problem, the practitioner may be surprised to find that in some applications estimation of the Poisson regression is...
Persistent link: https://www.econbiz.de/10003868485
We extend the simulation results given in Santos-Silva and Tenreyro (2006, "The Log of Gravity", The Review of Economics and Statistics, 88, pp.641-658) by considering data generated as a finite mixture of gamma variates. Data generated in this way can naturally have a large proportion of zeros...
Persistent link: https://www.econbiz.de/10003868490