BVAR: Bayesian Vector Autoregressions with R -- Enhancement

Type Research Project

Funding Bodies
  • Wr. St├Ądtische Stiftung

Duration Aug. 1, 2020 - Jan. 31, 2021
  • Department of Economics (Crespo Cuaresma) AE (Details)
  • Institute for Ecological Economics IN (Details)


Press 'enter' for creating the tag
  • Kuschnig, Nikolas (Details) Project Head

Abstract (English)

The project looks to enhance BVAR, an R software package, that makes state-of-the-art analysis of time series in macroeconomics easy and accessible. Its use cases include structural analysis, i.e. investigation of policy effects (e.g. interest rate changes), and forecasting the development of variables of interest (e.g. unemployment and productivity). BVAR is available from CRAN, where it is downloaded hundreds of times per week, and is described in an accompanying paper. The goal of this project is to gather support for polishing, testing, and improving the usability of the package, thus facilitating applied research and its use for teaching purposes.