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Re: st: Coefficient Constraints as Counterfactuals
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: Coefficient Constraints as Counterfactuals
Date
Thu, 10 Jan 2013 18:41:14 +0000
If you want say to -regress- such that
y = b_0 + b_1 x_1 + 42 x_2
then calculate
y - 42 x_2
and -regress- on x_1. Naturally, this isn't universal, but what could
be universal across all possible estimation commands? Moral: You
should tell us more about the command you are using.
Nick
On Thu, Jan 10, 2013 at 6:25 PM, Matthew C Mahutga
<[email protected]> wrote:
> I have a question that I hope has an easy answer that escapes me.
>
> I am using estimation command that does not support the constraints option, but I would like to constrain a select group of coefficients. For example, one model includes an interaction term between a given socioeconomic process and a dummy variable for institutional regime. I would like to ask questions like "what would the trend in my outcome look like if the socioeconomic process had the larger of the two conditional (i.e. by regime type) effects".
>
> Is there a universal means by which to set a given coefficient to a fixed value prior to model estimation. Or, can I estimate predicted values using stored results but change the coefficient on one covariate beforehand?
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