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Autometrics in that context. Paramount considerations include embedding relationships in general initial models, possibly … theory insights (the selection problem) while testing for relationships being well specified and invariant to shifts in …
Persistent link: https://www.econbiz.de/10011559165
Persistent link: https://www.econbiz.de/10010442444
experiments considered in this paper. Despite its simplicity, the theory behind the proposed approach is quite complicated. We …
Persistent link: https://www.econbiz.de/10011444508
important requirements when searching for a data-based relationship using Big Data, and the possible role of Autometrics in that … variables, analyzed with tight significance levels by a powerful selection procedure, retaining available theory insights (the …
Persistent link: https://www.econbiz.de/10011095615
We retrieve news stories and earnings announcements of the S&P 100 constituents from two professional news providers, along with ten macroeconomic indicators. We also gather data from Google Trends about these firms’ assets as an index of retail investors’ attention. Thus, we create an...
Persistent link: https://www.econbiz.de/10011711085
To capture location shifts in the context of model selection, we propose selecting significant step indicators from a saturating set added to the union of all of the candidate variables. The null retention frequency and approximate non-centrality of a selection test are derived using a...
Persistent link: https://www.econbiz.de/10011297656
A large number of nonlinear conditional heteroskedastic models have been proposed in the literature. Model selection is crucial to any statistical data analysis. In this article, we investigate whether the most commonly used selection criteria lead to choice of the right specification in a...
Persistent link: https://www.econbiz.de/10011297653
equation specifications, formulated to include all theory-based variables, their lags and possibly non-linear functional forms …, can be improved by nesting so-called "theory-driven" and "data-driven" approaches. In our methodology, the theory …-model's parameter estimates are unaffected by selection when the theory is complete and correct, so nothing is lost, whereas when the …
Persistent link: https://www.econbiz.de/10011487537
We compare sparse and dense representations of predictive models in macroeconomics, microeconomics and ftnance. To deal with a large number of possible predictors, we specify a prior that allows for both variable selection and shrinkage. The posterior distribution does not typically concentrate...
Persistent link: https://www.econbiz.de/10012506019
We compare sparse and dense representations of predictive models in macroeconomics, microeconomics and finance. To deal with a large number of possible predictors, we specify a prior that allows for both variable selection and shrinkage. The posterior distribution does not typically concentrate...
Persistent link: https://www.econbiz.de/10013231185