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Update Known bugs present in the current stable version: discretionary_policy without states authored by Johannes Pfeifer's avatar Johannes Pfeifer
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Known-bugs-present-in-the-current-stable-version.md
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...@@ -6,6 +6,7 @@ This page documents known bugs in Dynare stable. ...@@ -6,6 +6,7 @@ This page documents known bugs in Dynare stable.
* Calling `model_info` with `differentiate_forward_vars` would crash (bug not yet fixed, see https://git.dynare.org/Dynare/dynare/-/merge_requests/2331) * Calling `model_info` with `differentiate_forward_vars` would crash (bug not yet fixed, see https://git.dynare.org/Dynare/dynare/-/merge_requests/2331)
* `identification` would compute the asymptotic Hessian via simulation instead of via moments as intended (bug not yet fixed, see https://git.dynare.org/Dynare/dynare/-/merge_requests/2333) * `identification` would compute the asymptotic Hessian via simulation instead of via moments as intended (bug not yet fixed, see https://git.dynare.org/Dynare/dynare/-/merge_requests/2333)
* `identification` would crash during prior sampling if the initial draw did not solve the model (bug not yet fixed, see https://git.dynare.org/Dynare/dynare/-/merge_requests/2333) * `identification` would crash during prior sampling if the initial draw did not solve the model (bug not yet fixed, see https://git.dynare.org/Dynare/dynare/-/merge_requests/2333)
* `discretionary_policy` would crash if the model was purely forward-looking (bug not yet fixed, see https://git.dynare.org/Dynare/dynare/-/merge_requests/2334)
* Forecasts are only based on the DSGE-model, not the DSGE-VAR (bug not yet fixed; see #819) * Forecasts are only based on the DSGE-model, not the DSGE-VAR (bug not yet fixed; see #819)
* The `contemp_reduced_form` option of the `sbvar` command is broken (bug not yet fixed, see #1716) * The `contemp_reduced_form` option of the `sbvar` command is broken (bug not yet fixed, see #1716)
* Using the `forecast` command with a model solved at `order=2` with `varexo_det`, Dynare would return uncertainty bands based on a first-order approximation (bug not fixed, see #1940) * Using the `forecast` command with a model solved at `order=2` with `varexo_det`, Dynare would return uncertainty bands based on a first-order approximation (bug not fixed, see #1940)
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