math/dynare: update to 4.5.7
Bug fix release.
From ChangeLog: https://www.dynare.org/new-dynare-release/dynare-4.5.7-released
- The mex-file conducting the QZ decomposition erroneously applied the qz_criterium to the square absolute value of eigenvalues instead of the absolute value itself (as done in mjdgges.m and the AIM solver).
- In pathological cases, mode_compute=5 (newrat) might enter an infinite loop.
- discretionary_policy might erroneously state that the derivatives of the objective function are non-zero if there are NaN present.
- Dynare++, when conducting the QZ decomposition, erroneously applied the qz_criterium to the square absolute value of eigenvalues instead of the absolute value itself.
- Dynare++: IRFs were incorrectly computed.
- dynare_sensitivity did not display the figures of irf_calibration, it only stored them on the disk.
- Scatter plots generated by dynare_sensitivity did not correctly display LaTeX names.
- Parameter updating via steady state files did not correctly work in case of using [static]/[dynamic] equation tags.
- Memory leaks in k_order_pert (used by higher order stochastic simulations) could lead to crashes.
- Predetermined variables were not properly set when used in model local variables.
- Posterior moment computation did not correctly update the covariance matrix of exogenous shocks during posterior sampling.
- Dynare was crashing with a cryptic message if a non estimated parameter was initialized in the estimated_params_init block.
- The forecast command crashed if the model was declared as linear and contained deterministic exogenous variables.
- Block decomposition is broken when used in conjunction with varexo_det.
- The model was not correctly specified when identification was run without another stochastic command in the .mod file (e.g. estimation, stoch_simul, etc.).
- Realtime annualized shock decompositions added the wrong steady state value.
- mh_recover option crashed when using slice sampler.
- x-axis values in plots of moment restrictions were wrong for autocovariances.