Re: st: policy simulation

[Nick Winter <njgwinter@gmail.com>]

Or,

. regress y X1 X2 i.ORT

. margins ORT

--Nick Winter
On 7/25/2012 10:12 AM, Dan Waldo wrote:
> Maarten's observation from yesterday is quite correct.
> But if you mis-spoke and you really want to look at the effect on your dependent variable of everybody having ORT=1, a clunky way to do this (assuming that X1 and X2 are uncorrelated with ORT) would be to use the predict command to generate the estimated y (say, y_hat) and then
>
> . gen policy_effect =y_hat-(b1*x1 + b2*x2 + b3) [you'd pull the coefficients from the e(b) vector ]
>
>
>
> On Tue, Jul 24, 2012 at 2:46 AM, Shikha Sinha wrote:
> > I want to conduct a counterfactual policy simulation in state. I
> > estimate the following model:
> >
> > Y = b1X1 + b2X2 +b3ORT +e
> >
> > ORT is the main independent variable and is binary. The estimated b3
> > coefficient is 0.06. Now I want to answer the counterfactual question:
> > what would have been b3 if everyone got access to ORT? How do I get
> > this?
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