Nowcasting GDP using Mixed-Data Sampling Models
Posted: Wed Jun 10, 2015 7:49 am
Hey guys,
I have been working on nowcasing (forecasting) the quarterly GDP of Germany. I decided to use two mixed-frequency data models: bridge equations and MIDAS.
I have gathered monthly indicators of the business activity in order to do the estimation. Basically, I want to estimate quarterly GDP 1 horizon ahead.
Can you help me a little bit on how I should approach the problem on EViews.
What I think is that I should estimate quarterly GDP on each indicator and then somehow combine the estimations.
I would really appreciate any tips or suggestions.
Regards,
Ivan
I have been working on nowcasing (forecasting) the quarterly GDP of Germany. I decided to use two mixed-frequency data models: bridge equations and MIDAS.
I have gathered monthly indicators of the business activity in order to do the estimation. Basically, I want to estimate quarterly GDP 1 horizon ahead.
Can you help me a little bit on how I should approach the problem on EViews.
What I think is that I should estimate quarterly GDP on each indicator and then somehow combine the estimations.
I would really appreciate any tips or suggestions.
Regards,
Ivan