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09-21-2016 03:46 PM

I have a model like so:

```
proc surveyreg data=table1;
class year industry;
model estimate = var1 var2 var1*var2 var3 var4 year industry /solution ADJRSQ;
run;
```

My results show var1 is significantly positive and var1*var2 is significantly negative. I want to find if the net effect on var1 (var1+var1*var2) is significant. How do I do that?

Thanks!

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Solution

09-24-2016
02:43 AM

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09-21-2016 04:59 PM

You will have to decide for which value of var2 you want to estimate the marginal effect of var1.

In the following analysis, the effect of height is estimated at age=12 :

```
proc surveyreg data=sashelp.class;
class sex;
model weight = height height*age sex / solution;
estimate 'Marginal Height at Age=12' height 1 height*age 12;
run;
```

PG

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Solution

09-24-2016
02:43 AM

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09-21-2016 04:59 PM

You will have to decide for which value of var2 you want to estimate the marginal effect of var1.

In the following analysis, the effect of height is estimated at age=12 :

```
proc surveyreg data=sashelp.class;
class sex;
model weight = height height*age sex / solution;
estimate 'Marginal Height at Age=12' height 1 height*age 12;
run;
```

PG

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09-21-2016 05:04 PM - edited 09-21-2016 05:41 PM

@PGStats: Thank you. So if var2 is a binary variable and I'm looking for when var2 = 1, I would do something like this:

`estimate 'Marginal Effect' var1 1 var1*var2 1;`

Can you please explain to me why we are setting var1 (or height, in your example) to 1? Is this essentially testing the hypothesis that var1 = var1*var2?

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09-21-2016 11:08 PM

**Estimate 'Marginal Effect' Var1 a Var1*var2 b;**

will estimate the quantity a**Var1* + b**Var1*Var2*

where *Var1* and *Var1*Var2* are regression estimates.

The marginal effect of Var1 is the change in the dependent variable that is predicted when Var1 is changed by 1 unit and everything else stays the same. When Var2 = 1, the predicted change in *estimate* is *Var1*+*Var1***Var2* (i.e. a=1, b=1).

The hypothesis that is tested is *Var1* + *Var1***Var2* = 0. You can change the right hand side of that hypothesis with the TESTVALUE= option.

PG

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09-24-2016 02:43 AM

@PGStats Brilliant, thank you.