... | ... | @@ -6,9 +6,9 @@ Dynare 4.7 (unstable) |
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- New Method of Moments toolbox: `method_of_moments` command (Dynare/dynare!1750) and `matched_moments` block (Dynare/preprocessor!23) that provide functionality to estimate parameters by (i) Generalized Method of Moments (GMM) up to 3rd-order pruned perturbation approximation or (ii) Simulated Method of Moments (SMM) up to any perturbation approximation order. Toolbox is inspired by replication codes accompanied to Andreasen et al. (2018), Born and Pfeifer (2014), and Mutschler (2018).
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- Implementation of the Occbin algorithm by Guerrieri and Iacoviello (#569, preprocessor#68)
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- Implementation of the Occbin algorithm by Guerrieri and Iacoviello (#569, preprocessor#68), together with the inversion filter of Cuba-Borda, Guerrieri, and Iacoviello and the piecewise Kalman filter of Giovannini, Pfeiffer, and Ratto (Dynare/dynare!1876)
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- performance optimization to pruned state space system and lyapunov solvers (Dynare/dynare!1749, Dynare/dynare!1745, Dynare/dynare#1737)
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- performance optimization to pruned state space system and Lyapunov solvers (Dynare/dynare!1749, Dynare/dynare!1745, Dynare/dynare#1737)
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- `debug`-option of `perfect_foresight_solver` allows checking singularity of Jacobian for `sim1` and `sim1_linear`(https://git.dynare.org/Dynare/dynare/-/merge_requests/1834)
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... | ... | @@ -18,7 +18,7 @@ Dynare 4.7 (unstable) |
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- `discretionary_policy` is now able to solve nonlinear models (it will then use their first-order approximation, and the analytical steady state must be provided) (!1792)
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- `evaluate_planner_objective` now works with higher order approximation (only conditional welfare for order ⩾ 3) (!1828, !1866) and with perfect foresight (!1833)
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- `evaluate_planner_objective` now i) applies a consistent approximation order, ii) also provides unconditional welfare, and iii) works with higher order approximation (only conditional welfare for order ⩾ 3) (!1828, !1866) and with perfect foresight (!1833).
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- Option `block` of `model` can now be used in conjunction with `use_dll`
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... | ... | @@ -59,7 +59,7 @@ Dynare 4.7 (unstable) |
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- when compiling from source, it is no longer necessary to pass the `MATLAB_VERSION` version to the configure script; the version is now automatically detected
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- In deterministic models, exogenous variables with lead/lags are now replaced by auxiliary variables. This brings those models in line with the transformation done on stochastic models. However note that transformation is still not exactly the same between the two classes of models, because there is no need to take into account the Jensen inequality on the latter. In deterministic models, there is a one-to-one mapping between exogenous with lead/lags and auxiliaries, while in stochastic models, an auxiliary endo may correspond to a more complex nonlinear expression (preprocessor@9bca65c7e525a2415fe46b27e8760208b22aba9d)
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- In deterministic models, exogenous variables with lead/lags are now replaced by auxiliary variables. This brings those models in line with the transformation done on stochastic models. However note that transformation is still not exactly the same between the two classes of models, because there is no need to take into account the Jensen inequality on the latter. In deterministic models, there is a one-to-one mapping between exogenous with lead/lags and auxiliaries, while in stochastic models, an auxiliary endo may correspond to a more complex nonlinear expression (preprocessor@9bca65c7e525a2415fe46b27e8760208b22aba9d)
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- When using the `loglinear` option, the output from Dynare now clearly shows that the results reported concern the log of the original variable (!1796)
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