Hi

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> -----Original Message-----
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Faradj
> Koliev
> Sent: Thursday, August 25, 2016 12:32 PM
> To: r-help@r-project.org
> Subject: [R] Hickman models with two binary dependent variables in R
>
> Hi everyone,
>
> How do I run Heckman models in R with two binary dependent variables?
>
> sampleSelection package in R works with standard heckman models ( binary
> DV for the selection equation and continuous DV for the outcome equation).
> In my case dependent variables are both binary (actually ordered but I didn’t
> find anything on that)

From help page

The endogenous variable of the argument 'selection' must have exactly two 
levels (e.g. 'FALSE' and 'TRUE', or '0' and '1'). By default the levels are 
sorted in increasing order ('FALSE' is before 'TRUE', and '0' is before '1'). 
This also applies for the binary outcome equation. For continuous-oucome cases, 
the dependent variable(s) should be numeric.

seems to me that both equatio0ns can have binary values.


>
> So using sampleSelection package one could do this by running:
>
> SelectionEquation <- binaryDV1 ~ x1+x2+x3+x4
>
> OutcomeEquation <-  binaryDV2~o7+x1+x4+x5
>
> HeckmanModel <- heckit(SelectionEquation,OutcomeEquation,
> data=mydata, method="2step")
>
>
> The problem is that heckit() doesn’t work here. I think in STATA one could

What does it mean. Be more specific.

And provide some data (preferably by dput).
Or at least result of str(yourdata) to show that they are appropriate to the 
function.
And do not post in HTML.

Cheers
Petr

> use heckprob command for this. Anyone who knows more than me?
>
> Thanks!
>
>
>
>
>
>       [[alternative HTML version deleted]]
>
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