Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: Margeff for lagged dependent variable

From   Stephen O Neill <>
Subject   st: Margeff for lagged dependent variable
Date   Wed, 24 Mar 2010 09:47:16 -0700 (PDT)

Dear Statalist,
I am estimating the average partial effects for dynamic probit models by recaling the betas by 1/sqrt(1+(sigma_u)^2) and then using margeff on Stata 10. I have also calculated the partial effects using the following code:

scale= 1/sqrt(1+(sigma_U)^2)

* For binary variables:

gen xdh0_`i'=(xdh*scale-_b[`i']*`i'*scale)
gen xdh1_`i'=(xdh*scale-_b[`i']*`i'*scale+_b[`i']*scale)
gen double pe_`i' =normal(xdh1_`i') - normal(xdh0_`i')

sum pe_`i'

* For continuous variables:
gen double pe_`i' =normalden(xdh0*scale)*_b[`i']*scale
sum pe_`i'

When I compare the estimates they all match with the exception of the lagged dependent variable [from margeff I get 0.244475, while manually I calculate it as 0.409561. (I want to use Margeff to calculate the standard errors) Since I am using a loop to carry out the calculations I think that it is not just a mistake in my code. I have renamed the variables and also changed the order so I think I can rule out these explanations also.

I was wondering if anyone here has experienced similar issues using margeff on lagged dependent variables or if they can suggest a possible cause/solution. I don't have access to Stata11 so can't use the margins command :(



*   For searches and help try:

© Copyright 1996–2016 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index