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Model specification and selection are recurring themes in econometric analysis. Both topics become considerably more complicated in the case of large-dimensional data sets where the set of specification possibilities can become quite large. In the context of linear regression models, penalised...
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There has been increased interest in the use of "big data" when it comes to forecasting macroeconomic time series such as private consumption or unemployment. However, applications on forecasting GDP are rather rare. In this paper we incorporate Google search data into a Bridge Equation Model, a...
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penalized regressions and ensemble of models. The nonlinear methods considered in the paper include shallow and deep neural … also consider ensemble and hybrid models by combining ingredients from different alternatives. Tests for superior …
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