smooth transition regression model
Posted: Sat Nov 03, 2012 11:09 am
Hi:
I am trying to run a smooth transition regression model on time-series data. I understand that eviews does this through non-linear squares (which requires entering the actual equation) and LogL object (which I believe is log likelihood models). Since I’m at the initial stage of learning how to actually run this, the questions I have are: (i) how do I define and introduce the transition function? (ii) how is the threshold parameter determined? (iii) how is the time invariant regressor introduced into the equation? Does it refer to the starting value of the dependent variable? I also have an older version of eviews (4.0)
Thanks in advance for your help
I am trying to run a smooth transition regression model on time-series data. I understand that eviews does this through non-linear squares (which requires entering the actual equation) and LogL object (which I believe is log likelihood models). Since I’m at the initial stage of learning how to actually run this, the questions I have are: (i) how do I define and introduce the transition function? (ii) how is the threshold parameter determined? (iii) how is the time invariant regressor introduced into the equation? Does it refer to the starting value of the dependent variable? I also have an older version of eviews (4.0)
Thanks in advance for your help