## Search found 2556 matches

- Tue Dec 09, 2008 12:59 pm
- Forum: Estimation
- Topic: Marginal effects in Tobit Model
- Replies:
**41** - Views:
**15150**

### Re: Marginal effects in Tobit Model

Got it... What you are doing when you perform the forecast (or equivalently, a model solve) is to compute the xi'b at every observation i of the forecast (or model solution) sample. You can get your mean value by simply taking the mean of the forecasted xb values: Since you mention the Wooldridge bo...

- Mon Dec 08, 2008 11:50 am
- Forum: Estimation
- Topic: Marginal effects in Tobit Model
- Replies:
**41** - Views:
**15150**

### Re: Marginal effects in Tobit Model

HI Glenn, I have tried as you suggested and I get a series which I assume are cumulative probabilities for each forecast. What do I do with this series in order to get the single number adjustment factor? Regards, Boyd Boyd, I'm not certain of the context in which you ask this last question. What e...

- Fri Dec 05, 2008 4:18 pm
- Forum: Estimation
- Topic: Marginal effects in Tobit Model
- Replies:
**41** - Views:
**15150**

### Re: Marginal effects in Tobit Model

Simple it is...

series densxb = @dnorm(-xb)

- Wed Dec 03, 2008 5:33 am
- Forum: Estimation
- Topic: two-way panel model
- Replies:
**3** - Views:
**2028**

### Re: two-way panel model

I don't have a reference handy, but from my recollection the idea is pretty straightforward. For balanced designs, the order that the GLS and fixed effects transformations are applied is not relevant since the Kronecker product can be factored into separate period and cross-section transformations. ...

- Tue Dec 02, 2008 1:27 pm
- Forum: Programming
- Topic: math functions for coef
- Replies:
**3** - Views:
**1901**

### Re: math functions for coef

But it's easy enough to get your

**coef**into a**vector**object with which you can use functions:Code: Select all

`coef(2) c1`

c1.fill 1, 2

vector c2 = c1

vector c3 = exp(c2)

- Tue Dec 02, 2008 1:22 pm
- Forum: Programming
- Topic: LogL: How to get the gradient other than at estimated value
- Replies:
**1** - Views:
**1415**

### Re: LogL: How to get the gradient other than at estimated value

The gradient view will compute the gradients at the current coefficients if the logl is not estimated, and at the estimated coefficients if it is. Unfortunately, the makegrads proc will only work with an estimated logl. Obviously, if you have analytic gradients in your logl specification, you can si...

- Mon Dec 01, 2008 12:49 am
- Forum: Estimation
- Topic: two-way panel model
- Replies:
**3** - Views:
**2028**

### Re: two-way panel model

It estimates using the mixed model. LSDV for the fixed effect, and GLS on the remainder (though I'm not certain what the "S" in your "SGLS" refers to).

- Mon Nov 24, 2008 4:33 pm
- Forum: Estimation
- Topic: ENGLE-GRANGER
- Replies:
**6** - Views:
**10597**

### Re: ENGLE-GRANGER

The standard reference for the Engle-Granger critical values is MacKinnon, James G., (1991) "Critical Values for Cointegration Tests", in Long-Run Economic Relationships, R.F. Engle and C.W.J. Granger (eds.), London, Oxford, pp 267-276. As to the Johansen test. To be honest, getting a desc...

- Thu Nov 20, 2008 12:16 pm
- Forum: Estimation
- Topic: ENGLE-GRANGER
- Replies:
**6** - Views:
**10597**

### Re: ENGLE-GRANGER

Simply regress the difference of Y on the lagged difference of Y and A1 to A5, as well as the error correction term (lagged residual from the first equation). One note on the Engle-Granger test that you've already performed. The test that you've described is only approximate since the critical value...

- Thu Nov 20, 2008 11:36 am
- Forum: Estimation
- Topic: Putting Limits on Coefficients
- Replies:
**5** - Views:
**3513**

### Re: Putting Limits on Coefficients

(Re: the previous posting by s_pusharaj ) Lest anyone get the wrong impression, I'd just like to point out that the EViews least squares procedure certainly does perform nonlinear estimation. If I had to guess at what is going on here I'd suspect that it's a starting value issue. We will use whateve...

- Thu Nov 20, 2008 11:27 am
- Forum: EViews 5 and Earlier
- Topic: HELP: RANDOM EFFECTS
- Replies:
**3** - Views:
**3358**

### Re: HELP: RANDOM EFFECTS

To answer the original question...when you click on the Estimate button on your pool object, there is a dialog that contains a set of radio buttons which controls the intercept specification (None, Common, Fixed effects, Random effects). Select the last one, enter the rest of your specification, and...

- Mon Nov 17, 2008 10:23 am
- Forum: Models
- Topic: Forecasting with Models
- Replies:
**11** - Views:
**10723**

### Re: Forecasting with Models

I think he means that he wants to forecast outside of the workfile and needs to know whether he needs to expand the workfile and to add values for the observations for exogenous variables. The answer to those two questions (if indeed I'm interpreting correctly) is yes. All forecasing in EViews (whet...

- Thu Nov 06, 2008 10:31 am
- Forum: Estimation
- Topic: Marginal effects in Tobit Model
- Replies:
**41** - Views:
**15150**

### Re: Marginal effects in Tobit Model

That's a moderately complicated specification, especially since you have both continuous and discrete regressors. Even in the best of circumstances, the derivatives of the expected observed Y are a bit messy since you have to worry about (among other things) the derivative of the expected value of t...

- Thu Nov 06, 2008 6:59 am
- Forum: Estimation
- Topic: Pooled Regression
- Replies:
**15** - Views:
**6791**

### Re: Pooled Regression

You're combining two commands. The pool statement is used to declare a pool object and to define the cross-section identifiers. The ls is an estimation command used with a specific pool object. So your command tells EViews to declare a pool object E_X1 and specify the identifiers "?x1" &qu...

- Wed Nov 05, 2008 6:12 pm
- Forum: Estimation
- Topic: Marginal effects in Tobit Model
- Replies:
**41** - Views:
**15150**

### Re: Marginal effects in Tobit Model

There is nothing built-in. I'm assuming that you are interested in the derivatives of the conditional mean of the observed dependent, not the those of the latent dependent, since the latter are simply the beta coefficients. The calculations depend a lot on the particulars of your specification (dist...