Re: st: policy simulation

[Shikha Sinha <shikha.sinha414@gmail.com>]

Thanks Nick, Dan, and Maarten.

I guess there is no specific command to do this in stata. However, it
is very common in health economics research to do some sort of policy
simulation. For example, what would happen to child mortality if
vaccination rate is increased by 10% or 20%.

Essentially, I was trying to estimate Table 8 in the following paper:

 and http://www.ifpri.org/sites/default/files/publications/dp70.pdf

Thanks,
Shikha
On Wed, Jul 25, 2012 at 7:56 AM, Nick Winter <njgwinter@gmail.com> wrote:
> 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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>
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