Probit Scenario and Graph
Posted: Thu Nov 05, 2015 5:39 am
Hello,
http://www.eviews.com/help/helpintro.ht ... 038.2.html
Under the demonstration section of this link is an example of using a model to evaluate the probability of y given certain scenarios. My question is when it starts talking about using @trend to fill in gpa_1 with values spanning 2 to 4, and since gpa_1 is overriding gpa, does this still retain the dynamics of the original model? Or is this done for graphing purposes only, to show where the original probit probabilities fall on a nice and straight @trend type of series?
Also what is a good way to view the probability of y=1 given a unit increase in x? (other than looking it up on the graph) Assuming one has correctly evaluated the model under scenarios 1 and 2 and subtracts the two (as in Wooldridge 2006 example 17.1) to find an exact corresponding predicted probability for y once we go from 0 to a 1 unit increase in a given x? I still feel rather unclear about this procedure in eviews.
Thanks for reading
http://www.eviews.com/help/helpintro.ht ... 038.2.html
Under the demonstration section of this link is an example of using a model to evaluate the probability of y given certain scenarios. My question is when it starts talking about using @trend to fill in gpa_1 with values spanning 2 to 4, and since gpa_1 is overriding gpa, does this still retain the dynamics of the original model? Or is this done for graphing purposes only, to show where the original probit probabilities fall on a nice and straight @trend type of series?
Also what is a good way to view the probability of y=1 given a unit increase in x? (other than looking it up on the graph) Assuming one has correctly evaluated the model under scenarios 1 and 2 and subtracts the two (as in Wooldridge 2006 example 17.1) to find an exact corresponding predicted probability for y once we go from 0 to a 1 unit increase in a given x? I still feel rather unclear about this procedure in eviews.
Thanks for reading