SØGEMULIGHEDER
Hjem Medier Explainers Forskning & Offentliggørelser Statistik Pengepolitik €uroen Betalinger & Markeder Kariere & Job
Forslag
Sortér efter
Findes ikke på dansk

Romain Legrand

12 July 2016
WORKING PAPER SERIES - No. 1934
Details
Abstract
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 Code
C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
C30 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→General
C87 : Mathematical and Quantitative Methods→Data Collection and Data Estimation Methodology, Computer Programs→Econometric Software
E00 : Macroeconomics and Monetary Economics→General→General
F00 : International Economics→General→General