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Re: st: Coefficient Constraints as Counterfactuals

From   Nick Cox <>
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.


On Thu, Jan 10, 2013 at 6:25 PM, Matthew C Mahutga
<> 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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