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st: inference in structural switching regression models


From   wei wang <[email protected]>
To   [email protected]
Subject   st: inference in structural switching regression models
Date   Mon, 9 Apr 2007 07:48:53 -0700 (PDT)

Dear Stata-list users,

I'm running a switching regression model with a
structural selection equation. The model is as
follows:

d* = a(y1 - y2) + xb + e          (1)
     d = 1 if d* > 0
y1 = z1a1 + e1                     (2)
y2 = z2a2 + e2                     (3)

For illustrative purpose, suppose y's are income for
migrants vs non-migrants.

To estimate the model, (2) and (3) are substituted
into (1) to give a reduced-form selection equation.
Then the model is estimated using Heckman's 2-step
procedure. Finally, predicted values of y1 and y2 are
plugged back into (1) to obtain estimates of the
parameters of the structural selection equation.

Here's my question: In the final step, since predicted
y's are used, do I need to account for this in
calculating the standard errors of parameter
estimates, as I must do while estimating the income
equations? (I've seen papers that adjusted for the
income equations but not the structural selection
equation.) If yes, how shall I do it? By, say, the
Murphy-Topel procedure? 

Hope I've made myself clear. Looking forward to your
advice. Thx.

Wei Wang
Dept. of Economics
University of Pittsburgh


 
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