Dear Statalist,
I want to perform over-identifying restrictions (overid) test after Heckman
two-step selection model. I must introduce at least one exogeneous variable
in the probit equation, which becomes an instrument, for the Heckman model
to hold. However, this process also reqires an overid test after the
estimation to check whether the instruments are valid or not.
OLS: lny1 = X1b1 + X2b2 + u
Probit: d = X1b1 + Zb3 + e
(d: dummy variable, which is the selection criterion)
(Z: set of instruments, composed of dummy variables)
The overid command is useful after ivprobit or ivtobit, but it is not
possible to use it after the Heckman model.
I tried to perform a LR test, but there was a problem! I stored the
predictions (estimation results) from the overidentified regression
(heckoverid) and also the predictions (estimation results) from the
just-identified regression (heckjustid). However, stata says that heckoverid
does not contain scalar e(ll), which I don't understand in both cases.
I) over-identified model
OLS: lny1 = X1b1 + X2b2 + u
Probit: d = X1b1 + Zb3 + e
II) just-identified model
OLS: lny1 = X1b1 + X2b2 + Zb3 + u
Probit: d = X1b1 + Zb3 + e
III) LR test
lrtest heckoverid heckjustid, df(1) (assuming that there is only one
instrument)
Is there a feasible way to perfrom over-identifying restrictions test after
Heckman two-step selection model?
Best regards,
Evren Ceritoglu
Researcher
Research Dept.
Central Bank of Turkey
Ulus / Ankara
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