The BEAR toolbox
Alistair Dieppe (),
Björn van Roye and
Romain Legrand ()
No 1934, Working Paper Series from European Central Bank
The Bayesian Estimation, Analysis and Regression toolbox (BEAR) is a comprehensive (Bayesian) (Panel) VAR toolbox for forecasting and policy analysis. BEAR is a MATLAB based toolbox which is easy for non-technical users to understand, augment and adapt. In particular, BEAR includes a user-friendly graphical interface which allows the tool to be used by country desk economists. Furthermore, BEAR is well documented, both within the code as well as including a detailed theoretical and user's guide. BEAR includes state-of-the art applications such as sign and magnitude restrictions, conditional forecasts, Bayesian forecast evaluation measures, Bayesian Panel VAR using different prior distributions (for example hierarchical priors), etc. BEAR is specifically developed for transparently supplying a tool for state-of-the-art research and is planned to be further developed to always be at the frontier of economic research. JEL Classification: C11, C30, C87, E00, F00
Keywords: Bayesian VAR; econometric software; forecasting; panel Bayesian VAR; structural VAR (search for similar items in EconPapers)
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