bridgr

Implements bridge models for nowcasting and forecasting macroeconomic variables by linking high-frequency indicator variables (e.g., monthly data) to low-frequency target variables (e.g., quarterly GDP). Simplifies forecasting and aggregating indicator variables to match the target frequency, enabling timely predictions ahead of official data releases. For more on bridge models, see Baffigi, A., Golinelli, R., & Parigi, G. (2004) doi:10.1016/S0169-2070(03)00067-0, Burri (2023) https://www5.unine.ch/RePEc/ftp/irn/pdfs/WP23-02.pdf or Schumacher (2016) doi:10.1016/j.ijforecast.2015.07.004.

Last 30 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.