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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
This paper describes the inference procedures required to perform Bayesian inference to some multivariate econometric models. These models have a spatial component built into commonly used multivariate models. In particular, the seemingly unrelated regression and vector autoregressive models are...
Persistent link: https://www.econbiz.de/10012019328
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 …
Persistent link: https://www.econbiz.de/10012510141
We analyze Granger causality testing in a mixed-frequency VAR, where the difference in sampling frequencies of the …
Persistent link: https://www.econbiz.de/10011415576
that, while inessential to the theoretical mechanism that is central to the specific theory, would be essential to fit the …
Persistent link: https://www.econbiz.de/10012792815
This paper compares two single-equation approaches from the recent nowcast literature: Mixed-data sampling (MIDAS …
Persistent link: https://www.econbiz.de/10010432327
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 …
Persistent link: https://www.econbiz.de/10014336195
We study the relationship between overconfidence and the political and financial behavior of a nationally representative sample. Consistent with theoretical predictions, our findings indicate that excessive confidence in one's judgment is associated with lower portfolio diversification, greater...
Persistent link: https://www.econbiz.de/10015075012
We develop a new Bayesian estimator that is able to deal with multivariate panel data structure in the presence of spatial correlation. The analysis of panel data introduced here allows us to analyze not only the fixed effect but also the random effect model. This work extends the previous study...
Persistent link: https://www.econbiz.de/10012059270
Persistent link: https://www.econbiz.de/10012207571