## Search found 39 matches

- Fri Dec 28, 2018 11:05 am
- Forum: Econometric Discussions
- Topic: HI ! Anyone suggest me
- Replies:
**1** - Views:
**180**

### Re: HI ! Anyone suggest me

Because the variables which are missing from the ECM regression were most likely estimated as having 0 lag. In this case, they would be captured by the CointEq(-1) term entirely and would not have transitory effects (differences) as the other variables do.

- Wed Dec 05, 2018 4:44 pm
- Forum: Programming
- Topic: Adjusting short run equation in VECM
- Replies:
**1** - Views:
**137**

### Re: Adjusting short run equation in VECM

The differencing that happens is a byproduct of the theoretical construction. In other words, even if you create a variable series z = x-x(-4) and use said series to specify your VECM, you will find that your transitory portion of the VECM will be specified in terms of lagged differences D(z) = z-z(...

- Tue Dec 04, 2018 12:15 pm
- Forum: Estimation
- Topic: Informations about Signal Coefficients on a VEC Output
- Replies:
**6** - Views:
**225**

### Re: Informations about Signal Coefficients on a VEC Output

If I understand your question correctly, you are wondering about the alpha*beta' partialization of the cointegrating matrix? If this indeed the case, then the answer is no since alpha*beta' = -0.402196 for this co-integrating relationship. In other words,-1.217436 is an element of beta, which is the...

- Tue Dec 04, 2018 8:35 am
- Forum: Estimation
- Topic: Informations about Signal Coefficients on a VEC Output
- Replies:
**6** - Views:
**225**

### Re: Informations about Signal Coefficients on a VEC Output

Indeed. In fact, if you go to View and then Representations, and search among that output, you'll see that the VEC equation for your co-integrating relationship is in fact: D(LPE)=-0.402196*(LPE(-1)-1.217436*LPG(-1)-0.206260*LPS(-1)+1.193296)+0.442810*D(LPE(-1))-0.267557*D(LPG(-1)) ... etc

- Tue Dec 04, 2018 8:19 am
- Forum: Estimation
- Topic: Informations about Signal Coefficients on a VEC Output
- Replies:
**6** - Views:
**225**

### Re: Informations about Signal Coefficients on a VEC Output

If your underlying question is what is the actual co-integrating relationship, then yes, the signs are in fact reversed. Thus, in your case, the co-integrating relationship is

Code: Select all

`LPE(-1) = 1.217436*LPG(-1) + 0.206260*LPS(-1) - 1.193296`

- Mon Nov 26, 2018 5:16 pm
- Forum: Estimation
- Topic: Obtaining weights with Principal component analysis
- Replies:
**6** - Views:
**3758**

### Re: Obtaining weights with Principal component analysis

I did have another more general question - i understand that EViews can report both the loadings and the eigenvectors, why would these be the same when using the covariance method of PCA? The reason that loadings and eigenvectors can sometimes be identical is because a loading vector is just a scal...

- Sun Oct 28, 2018 4:35 pm
- Forum: Econometric Discussions
- Topic: Student paper, please help!
- Replies:
**2** - Views:
**11341**

### Re: Student paper, please help!

Econometrically, there is no issue if you log only some of your variables. At the end of the day, ARDL is just a LS regression. Nevertheless, the interpretation of what coefficients mean will depend on which variables are logged. Have a look at the attached document to better understand coefficient ...

- Tue Oct 16, 2018 8:59 am
- Forum: Data Manipulation
- Topic: Spool - screen width
- Replies:
**1** - Views:
**968**

### Re: Spool - screen width

Try this:

where "X" stands for some number in inches.

Otherwise, try this:

Code: Select all

`spool.graphmode(type=fixed) X`

where "X" stands for some number in inches.

Otherwise, try this:

Code: Select all

`spool.graphmode(type=variable)`

- Mon Oct 15, 2018 3:16 pm
- Forum: Estimation
- Topic: how does eviews compute pca scores; pc1= index?
- Replies:
**2** - Views:
**960**

### Re: how does eviews compute pca scores; pc1= index?

In broad strokes, EViews performs the following steps: 1. Compute correlation/covariance matrix (depending on specification chosen), and the default scaling is 1/n as opposed to 1/(n-1). This makes no difference asymptotically, of course. 2. Compute eigenvectors and eigenvalues from the correlation/...

- Fri May 04, 2018 9:24 am
- Forum: Econometric Discussions
- Topic: Trouble with Critical Bounds in ARDL Model
- Replies:
**1** - Views:
**560**

### Re: Trouble with Critical Bounds in ARDL Model

Hi SANhedrin, I just looked a bit more carefully into your request. The reason that -1 appears is because the Narayan (2005) Applied Economics paper, "The saving and investment nexus for China: evidence from cointegration tests", from which the Narayan tables are obtained, does not support...

- Wed Nov 08, 2017 3:31 pm
- Forum: Econometric Discussions
- Topic: OLS with Newey West(HAC) Covariance method
- Replies:
**1** - Views:
**819**

### Re: OLS with Newey West(HAC) Covariance method

The statistic next to the F-statistic entry is the usual F-statistic using no HAC adjustment. Thus, the variance of the parameter estimate is sigma^2(X'X)^(-1). The statistic next to the Wald F-statistic entry is the F-statisitc using the HAC variance adjustment. You can adjust the nature of the HAC...

- Sun Oct 22, 2017 11:04 am
- Forum: Suggestions and Requests
- Topic: Wavelet Transform
- Replies:
**2** - Views:
**2143**

### Re: Wavelet Transform

We've made an add-in as a series proc that can do just this! You can download the add-in here:

http://www.eviews.com/Addins/addins.shtml

http://www.eviews.com/Addins/addins.shtml

- Thu Sep 14, 2017 8:17 am
- Forum: Econometric Discussions
- Topic: Heteroskedasticity test
- Replies:
**2** - Views:
**850**

### Re: Heteroskedasticity test

The White test is in many ways a pecial case of the BPG test. Both tests are appropriate, but the BPG allows more flexibility in modelling the nature of heteroscedasticity by explicitly specifying its functional form.

- Tue Sep 05, 2017 8:20 pm
- Forum: Econometric Discussions
- Topic: I(1),I(0) and cointegration
- Replies:
**3** - Views:
**1234**

### Re: I(1),I(0) and cointegration

Actually, we have our own three part blog series on ARDL estimation, and your are strongly encouraged to read it. http://blog.eviews.com/2017/04/autoregressive-distributed-lag-ardl.html?m=1 http://blog.eviews.com/2017/05/autoregressive-distributed-lag-ardl_8.html?m=1 http://blog.eviews.com/2017/05/a...

- Wed Aug 30, 2017 3:42 pm
- Forum: Econometric Discussions
- Topic: Trend-stationarity and cointegration
- Replies:
**3** - Views:
**1129**

### Re: Trend-stationarity and cointegration

Have a look at this document to help you out. Indeed, two trend stationary variables can be co-integrated. What happens, however, is that the cointegrating relationship purges the effect of the deterministic trend. If this was not the case, it would imply the presence of a trend in the cointegrating...