Search found 560 matches
- Wed Mar 27, 2024 2:42 pm
- Forum: Models
- Topic: Model computational Limits?
- Replies: 4
- Views: 158
Re: Model computational Limits?
Hello, Given that there are no missing values in the data and that simpler variations of your model solve successfully, my first thought is that the full model includes some type of numerical issue that only the data for that one observation happens to trigger. I would certainly like to examine your...
Re: FLIPTYPE
Hello, The algebra performed by the fliptype procedure doesn't consider special cases when inverting functions, e.g., introducing a potential for division by zero where none existing previously. In general, the procedure will just attempt to "solve for" the leftmost instance of the new end...
- Tue Mar 19, 2024 2:26 pm
- Forum: Programming
- Topic: @recode issue
- Replies: 2
- Views: 103
Re: @recode issue
Hello, The issue is the expressions used in the @recode statements for AFG_80, AFG_70, and AFG_60. You cannot test whether a value is within a range using an expression such as "X80 <= AFG < X90". Instead, use two conjoined relational expressions, i.e. "X80 <= AFG and AFG < X90",...
- Tue Feb 20, 2024 12:43 pm
- Forum: Models
- Topic: sample adjusted
- Replies: 2
- Views: 290
Re: sample adjusted
Hello, The model solution procedure adjusts the solution sample to ensure that all referenced variable lags/leads exist in the workfile. For example, imagine a quarterly workfile spanning 2000Q1 to 2020Q4. If the specified solution sample covered the full workfile, "2000Q1 2020Q4", but the...
- Mon Feb 12, 2024 6:17 pm
- Forum: Models
- Topic: addinit(v=a)
- Replies: 4
- Views: 603
Re: addinit(v=a)
Hello, It's possible that if solution values (or expressions they appear in) are very close to numeric singularities, then the adjustment of add factors combined with the solution rounding and significant digits setting could produce such failures. Here's a small program that demonstrates this effec...
- Tue Jan 16, 2024 5:35 pm
- Forum: Add-in Support
- Topic: scaled IRF in SVAR
- Replies: 2
- Views: 8378
Re: scaled IRF in SVAR
Hello, Would that be error 82? It appears that the sirf add-in contains a bug triggered by generating the IRF for any variable other than the first. EViews 13 stops the add-in at that point, but earlier versions of EViews proceed as if the user had specified the first variable. I don't see an easy w...
- Thu Jan 11, 2024 11:17 am
- Forum: Estimation
- Topic: SVAR short and long-run restriction
- Replies: 1
- Views: 1089
Re: SVAR short and long-run restriction
Hello,
I believe the restrictions you've currently applied to the B matrix should instead be applied to the S matrix. The A and B matrices will then be unrestricted.
I believe the restrictions you've currently applied to the B matrix should instead be applied to the S matrix. The A and B matrices will then be unrestricted.
- Tue Jan 09, 2024 10:59 am
- Forum: Programming
- Topic: If - Else code
- Replies: 5
- Views: 6712
Re: If - Else code
Hello, You may also find it more readable/maintainable to use a vector to store the mapping between the value of !i and that of !bestlag rather than a sequence of @recode statements. For example, vector(21) bestlagmap bestlagmap.fill 12, 6, 2, 1, 2, 2, 1, 4, 1, 1, 2, 2, 11, 1, 4, 1, 11, 6, 1, 12, 3 ...
- Mon Dec 18, 2023 4:05 pm
- Forum: Programming
- Topic: Is there a solver tool?
- Replies: 6
- Views: 6716
Re: Is there a solver tool?
Hello,
Take a look at EViews' optimize command, which is the general purpose command for user-defined optimization. It requires knowledge of EViews programming to use, but it's very flexible once understood.
Take a look at EViews' optimize command, which is the general purpose command for user-defined optimization. It requires knowledge of EViews programming to use, but it's very flexible once understood.
- Mon Dec 11, 2023 11:23 am
- Forum: Programming
- Topic: GENERATING RANDOM NORMAL DRAWS
- Replies: 4
- Views: 5754
Re: GENERATING RANDOM NORMAL DRAWS
Quick follow up... EViews' @rnorm function is parameterless since it returns draws from the standard normal distribution. You can adjust your genr statement accordingly, e.g.,
Code: Select all
series draws_errorvariance_CA_{%h}Y_{%c}_AR = @rnorm * @sqrt(errorvariance_CA_{%h}Y_{%c}_AR)
- Mon Nov 20, 2023 2:34 pm
- Forum: Programming
- Topic: @colpctiles Not Working...
- Replies: 2
- Views: 1773
Re: @colpctiles Not Working...
Hello,
You're correct, the rank 'direction' argument is being incorrectly ignored. We'll fix that in an upcoming patch.
You're correct, the rank 'direction' argument is being incorrectly ignored. We'll fix that in an upcoming patch.
- Wed Aug 30, 2023 3:36 pm
- Forum: Models
- Topic: Incorrect error message
- Replies: 6
- Views: 52613
Re: Incorrect error message
The errors messages didn't directly implicate the variable, DISPINCRP, so a little investigation is necessary as random_user points out. The most significant clue comes from your description; the issue only arises in your custom scenario and not the default scenario. The model's scenario summary (Vi...
- Tue Aug 29, 2023 4:03 pm
- Forum: Models
- Topic: Incorrect error message
- Replies: 6
- Views: 52613
Re: Incorrect error message
Hello, EViews is correctly reporting that override data is missing in Scenario 2. That scenario excludes and overrides series DISPINCRP, but the series that should hold the override values, DISPINCRP_2M, is full of NAs. Perhaps that series didn't exist prior to your initial solution attempt and an e...
- Fri Aug 04, 2023 9:50 am
- Forum: Data Manipulation
- Topic: How to generate different series in the same regression?
- Replies: 2
- Views: 2958
Re: How to generate different series in the same regression?
Hello, The result you're seeing is due to your use of nested loops. For each of the series named in the outer loop, i.e. "serie1", "serie2", and "serie3", you create three series in the inner loop, i.e. "d1", "d2", and "d3". Each of these s...
- Thu Aug 03, 2023 11:20 am
- Forum: Data Manipulation
- Topic: Count number of dummy variables
- Replies: 1
- Views: 2506
Re: Count number of dummy variables
Hello,
Try these...
Try these...
Code: Select all
series cum = @recode(@isna(below50), 0, @nan(cum(-1), 0) + 1)
series cum2 = @recode(@eqna(below50,below50(-1)), @nan(cum2(-1), 0), 0) + @recode(@isna(below50), -1, 1)