<p>From my understanding, we normally use the word &quot;outcome&quot; for dependent variables( aka regressand), but today, when I look at <a href="https://stats.idre.ucla.edu/stata/dae/multivariate-regression-analysis/" rel="nofollow noreferrer">this document</a> it seems to me that they use &quot;outcome&quot; for independent variable. I am wondering if my understanding if correct or I fall into any fallacy.</p>
<blockquote>
<p>As the name implies, multivariate regression is a technique that
estimates a single regression model with <strong>more than one outcome
variable</strong>. When there is more than one predictor variable in a
multivariate regression model, the model is a multivariate multiple
regression.</p>
</blockquote>

CC BY-SA 4.0
2021-10-02T08:54:06.890Z
@EB3112 , I understand what you mean regarding the "outcome variable" meaning, I mean, the way they use the word confusing me. From reading the first sentence, it seems to me that they estimate a single regression model with more than one dependent variables.
Nguyen Lis
CC BY-SA 4.0
2021-10-02T09:05:40.520Z
There are instances in which there are more than one outcome variables. And in fact, it looks like on your document they've estimated an M-ANOVA model in which there are multiple outcomes variables such as 'motivation' 'self-concept' etc. So, here, the authors are correct in specifiying that there are multiple outcome variables. ANOVA-type analysis is typically used in nonparametric settings (such as medicine). More likely examples of regression with multiple outcomes in economics, would be something like 'vector autoregression'
EB3112
CC BY-SA 4.0
2021-10-02T09:11:07.410Z
Thanks @EB3112, you are right, they use ```manova``` approach and run the same set of explanatory variables for two outcomes variables simultaneously
Nguyen Lis
CC BY-SA 4.0
2021-10-02T09:11:53.103Z
It is good to know because it is the first time I know that we can run the regression for two outcome variables at the same time.
Nguyen Lis
CC BY-SA 4.0
2021-10-02T09:12:12.857Z
And it look like something similar to joint test .
Nguyen Lis
CC BY-SA 4.0
2021-10-02T09:13:50.617Z
Yeah, you're right. ANOVA isn't far off something like an F-test in a non-parametric setting.
EB3112
<econometrics><nonexpert>
Have we ever used the word "outcome" for regressors?
Nguyen Lis
# Have we ever used the word "outcome" for regressors?

(Asked by: username_0 on 2021-10-02)

From my understanding, we normally use the word "outcome" for dependent variables( aka regressand), but today, when I look at [this document](https://stats.idre.ucla.edu/stata/dae/multivariate-regression-analysis/) it seems to me that they use "outcome" for independent variable. I am wondering if my understanding if correct or I fall into any fallacy.

> As the name implies, multivariate regression is a technique that
> estimates a single regression model with **more than one outcome
> variable**. When there is more than one predictor variable in a
> multivariate regression model, the model is a multivariate multiple
> regression.

**Tags:** econometrics, nonexpert
> **Comments:**
> **username_0**: @EB3112 , I understand what you mean regarding the "outcome variable" meaning, I mean, the way they use the word confusing me. From reading the first sentence, it seems to me that they estimate a single regression model with more than one dependent variables.  
> **username_1**: There are instances in which there are more than one outcome variables. And in fact, it looks like on your document they've estimated an M-ANOVA model in which there are multiple outcomes variables such as 'motivation' 'self-concept' etc. So, here, the authors are correct in specifiying that there are multiple outcome variables. ANOVA-type analysis is typically used in nonparametric settings (such as medicine). More likely examples of regression with multiple outcomes in economics, would be something like 'vector autoregression'  
> **username_0**: Thanks @EB3112, you are right, they use ```manova``` approach and run the same set of explanatory variables for two outcomes variables simultaneously  
> **username_0**: It is good to know because it is the first time I know that we can run the regression for two outcome variables at the same time.  
> **username_0**: And it look like something similar to joint test .  
> **username_1**: Yeah, you're right. ANOVA isn't far off something like an F-test in a non-parametric setting.  

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## 0 answers

