<p>In principle, there is nothing to exclude the case where all regressors are endogenous. </p>

<p>My issue is that the Hurlin-Dumitrescu test has to do with Granger-causality, and Granger-causality examines the relation between the regressors and the dependent variable, not the relation between the regressors and the error term. On the other hand, endogeneity refers to the existence of correlation of the regressors with the error term.   </p>

<p>So it appears that the Hurlin-Dumitrescu test is of no use on testing for endogeneity. Do I miss something here?</p>

CC BY-SA 4.0
2018-07-18T17:09:49.950Z
Thanks alot for your response. I completely understood it. But, i have mentioned that i got the same results in stata when i test for endogeneity using xtivreg2 command. What is your say over it?  Secondly,your first line says that it's okay if all regressors are endogenous?
Najia Mughal
CC BY-SA 4.0
2018-07-18T17:15:00.383Z
Yes, there is no theoretical or other reason to say "they cannot be all endogenous". I am not familiar with what tests are included in the xtivreg2 command in stata.
Alecos Papadopoulos
CC BY-SA 4.0
2018-07-18T19:03:06.640Z
Alright. Have you seen the case somewhere as well? Can you suggest any endogeneity test if you know either in stata or eviews?
Najia Mughal
CC BY-SA 4.0
2018-08-18T00:30:34.557Z
Alecos: I am familar with endogeneity in the way you described it but then I looked here and there is a causality relation under the dynamic models section. https://en.wikipedia.org/wiki/Endogeneity_(econometrics). Still I'm not familar with stata so no idea if test described is useful.  Also, there's something called the Wu Hausman test for endogeneity, but, as is the case with all tests, you need to be careful to make sure that it's appropriate for your problem. Sometimes these tests can be wolves in sheep's clothing.
mark leeds
CC BY-SA 4.0
2018-08-18T03:10:19.140Z
@markleeds The Hausman test does not really test for endogeneity. It just tests whether the OLS and the IV estimators have the same probability limit (that's the null hypothesis). If the null is rejected, what we learn is that they have different probability limits. Then, IF we accept (based on arguments unrelated to the test) that the IV estimator is consistent, then we "conclude" that the OLS is inconsistent and so that there exists endogeneity. But the test itself has nothing to do with testing endogeneity per se, never mind how it is presented in the papers that use it.
Alecos Papadopoulos
CC BY-SA 4.0
2018-08-18T06:00:12.963Z
@alecos Papadopoulos: Thanks a lot. I fell into my own trap of reading that a test is useful for something when it's actually not. Again, it shows that you REALLY have to know these things deeply, especially if you intend to use them. Fortunately, I've never used it !!!! All the best.
mark leeds
CC BY-SA 4.0
2018-07-18T16:37:15.360Z
2018-07-18T16:45:31.950Z
2018-07-18T16:45:31.950Z
Alecos Papadopoulos
<p>I'm trying to estimate the following model:
Labor demand=f(wages,lagged labor demand, GFCF, GDP, trade share, labor productivity, real exchange rate)... (1)
Wages= f(labor demand,lagged wages, GFCF, GDP, trade share, labor productivity, real exchange rate)...(2)</p>

<p>When i run endogeneity test in stata and dumitrescu hurlin test in Eviews, they say that all regressors are endogenous. Is this something normal or I'm doing something wrong?<br>
Eagerly waiting for a reply. </p>

CC BY-SA 4.0
2018-07-20T13:52:53.517Z
Are you asking if is possible if all the repressors you have are endogenous or if all the possible regressors in the properly specified model can be endogenous?
BKay
CC BY-SA 4.0
2018-07-21T15:09:45.860Z
@BKay... Yes, i am asking whether it's okay if all the independent variables turn out to be endogenous in my model or I'm doing something wrong?
Najia Mughal
<endogeneity>
Can all the regressors be endogenous in a given model?
Najia Mughal
# Can all the regressors be endogenous in a given model?

(Asked by: username_0 on 2018-07-18)

I'm trying to estimate the following model:
Labor demand=f(wages,lagged labor demand, GFCF, GDP, trade share, labor productivity, real exchange rate)... (1)
Wages= f(labor demand,lagged wages, GFCF, GDP, trade share, labor productivity, real exchange rate)...(2)

When i run endogeneity test in stata and dumitrescu hurlin test in Eviews, they say that all regressors are endogenous. Is this something normal or I'm doing something wrong?  
Eagerly waiting for a reply.

**Tags:** endogeneity

> **Comments:**
> **username_1**: Are you asking if is possible if all the repressors you have are endogenous or if all the possible regressors in the properly specified model can be endogenous?  
> **username_0**: @username_1... Yes, i am asking whether it's okay if all the independent variables turn out to be endogenous in my model or I'm doing something wrong?  

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## 1 answers

### Answer by username_2 on 2018-07-18. Score: 1

In principle, there is nothing to exclude the case where all regressors are endogenous.

My issue is that the Hurlin-Dumitrescu test has to do with Granger-causality, and Granger-causality examines the relation between the regressors and the dependent variable, not the relation between the regressors and the error term. On the other hand, endogeneity refers to the existence of correlation of the regressors with the error term.

So it appears that the Hurlin-Dumitrescu test is of no use on testing for endogeneity. Do I miss something here?

> **Comments:**
> **username_0**: Thanks alot for your response. I completely understood it. But, i have mentioned that i got the same results in stata when i test for endogeneity using xtivreg2 command. What is your say over it?  Secondly,your first line says that it's okay if all regressors are endogenous?  
> **username_2**: Yes, there is no theoretical or other reason to say "they cannot be all endogenous". I am not familiar with what tests are included in the xtivreg2 command in stata.  
> **username_0**: Alright. Have you seen the case somewhere as well? Can you suggest any endogeneity test if you know either in stata or eviews?  
> **username_3**: Alecos: I am familar with endogeneity in the way you described it but then I looked here and there is a causality relation under the dynamic models section. https://en.wikipedia.org/wiki/Endogeneity_(econometrics). Still I'm not familar with stata so no idea if test described is useful.  Also, there's something called the Wu Hausman test for endogeneity, but, as is the case with all tests, you need to be careful to make sure that it's appropriate for your problem. Sometimes these tests can be wolves in sheep's clothing.  
> **username_2**: @markleeds The Hausman test does not really test for endogeneity. It just tests whether the OLS and the IV estimators have the same probability limit (that's the null hypothesis). If the null is rejected, what we learn is that they have different probability limits. Then, IF we accept (based on arguments unrelated to the test) that the IV estimator is consistent, then we "conclude" that the OLS is inconsistent and so that there exists endogeneity. But the test itself has nothing to do with testing endogeneity per se, never mind how it is presented in the papers that use it.  
> **username_3**: @alecos Papadopoulos: Thanks a lot. I fell into my own trap of reading that a test is useful for something when it's actually not. Again, it shows that you REALLY have to know these things deeply, especially if you intend to use them. Fortunately, I've never used it !!!! All the best.  

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