Model: MOD_PNT2

Date: 03/25/24 Time: 13:04

Sample: 2020M01 2024M12

Solve Options: [code][/code]

Dynamic-Stochastic Simulation

Solver: Broyden

Max iterations = 5000, Convergence = 1e-08

Requested repetitions = 10000, Allow up to 2 percent failures

Solution does not account for coefficient uncertainty in linked equations

Track endogenous: mean, 95% confidence interval

Calculating Innovation Covariance Matrix

Sample: 1973M01 2019M12

Matrix scaled to equation specified variances

Scenarios: Scenario 1 & Baseline

Solve begin 13:04:54

Repetitions 1-1: 1 failure(s) 13:04:54

Solve terminated - Unable to compute due to missing data in "D(LOG(CO2_A_0MB)) = @COEF(1) * ( LOG(CO2_A_0MB(-1)) - 0.53995156 ...

Simulation terminated before specified successful repetitions

0 successful repetitions, 1 failure(s)

When running the diagnostic check on the MODEL in deterministic mode, it tells me that the program gives NA for the variable CO2_A_0MB at date 2024M01.

2023M11 Solved (recursive block)

2023M12 Solved (recursive block)

2024M01 NA generated for CO2_A_0MB

2024M01 Not solved

Solve terminated - Unable to compute due to missing data in "D(LOG(CO2_A_0MB)) = @COEF(1) * ( LOG(CO2_A_0MB(-1)) - 0.53995156 ...

Because of the “missing data” message, I checked to see if any data might be missing for that or later dates, but it is not. The list of all variables can be checked in the model MOD_PNT2 and is collected in the workfile as Group02.

However, if I re-run the same model but excluding that date, with the estimation window now closed after 2023M12, the output is fine:

Model: MOD_PNT2

Date: 03/24/24 Time: 21:19

Sample: 2020M01 2023M12

Solve Options:

Dynamic-Stochastic Simulation

Solver: Broyden

Max iterations = 5000, Convergence = 1e-08

Requested repetitions = 10000, Allow up to 2 percent failures

Solution does not account for coefficient uncertainty in linked equations

Track endogenous: mean, 95% confidence interval

Calculating Innovation Covariance Matrix

Sample: 1973M01 2019M12

Matrix scaled to equation specified variances

Scenarios: Scenario 1 & Baseline

Solve begin 21:19:04

Repetitions 1-1600: successful 21:19:11

Repetitions 1601-3200: successful 21:19:17

Repetitions 3201-4800: successful 21:19:23

Repetitions 4801-6400: successful 21:19:29

Repetitions 6401-8000: successful 21:19:35

Repetitions 8001-9600: successful 21:19:42

Repetitions 9601-10000: successful 21:19:43

Solve complete 21:19:43

10000 successful repetitions, 0 failure(s)

I also find that I can run the model

**with**the 12 additional output targets for 2024, but in a simplified form

**without**the exogenous tax data in the underlying System equation. This pairing is shown with SYS_PNT222 and MOD_PNT222.

Thus, I am led to the preliminary conclusion that I have overstretched the computational bounds of the version of EViews I am using. So, 2 obvious questions:

(1) Is this conclusion correct?

(2) If so, what can I do about it?

I am happy to attach the EViews workfile referenced here, but do not see a way to do this currently.

Thank you,

Jim Stodder, Boston University

jim.stodder@gmail.com, jstodder@bu.edu