Bug in reading in macro arrays passed on dynare command line via the -D option (see 204d9c, and 3a62273)
Estimation with missing values was crashing if the prefilter option was used (see 92549e4).
Added a workaround for a difference in behaviour between Octave and Matlab regarding the creation of function handles for functions that do not exist in the path. With Octave 4.2.1, steady state files did not work if no auxiliary variables were created (see 99e4cb6).
The stoch_simul command was crashing with a cryptic message if option order=3 was used without setting k_order_solver (see 28b499a).
In cases where the prior bounds are infinite and the mode is estimated at exactly 0, no mode_check graphs were displayed (see ef797ee).
Parallel execution of MCMC was broken in models without auxiliary variables (see ec3fb76, and bbdde46).
Reading data with column names from Excel might crash (see 8e73289).
The multivariate Kalman smoother was crashing in case of missing data in the observations and Finf became singular (see cbc0cdf).
The plot_shock_decomposition command ignored various user-defined options like fig_name, use_shock_groups or interactive and instead used the default options (see 5e7256d and b3bcd2c).
Nested @#ifdef and @#ifndef statements don't work in the macroprocessor (see 047597)
Bugs in version 4.5.2 that have been fixed in version 4.5.3
isfile routine was failing with matlab older than R2016b, (bug reported here and fixed in fa26ab1).
Bugs in version 4.5.1 that have been fixed in version 4.5.2
perfect_foresight_solver. If expected shocks were declared after the terminal period, as specified by the periods option, Dynare was crashing (see commits 97b894a, 10047fe, and 131a68e).
perfect_foresight_solver. Models declared with the linear option were crashing if exogenous variables were present with a lead or lag (see commits a1c3497, 1a4257a, and 5429821).
After ML, Bayesian estimation when not specifying the smoother option or mh_replic=0 not all smoothed measurement errors were displayed (see commit 4cd259b).
conditional_forecasts. Fixed error in reference manual (see commit b4a52b8).
Smoother. Provide informative error instead of crashing when model cannot be solved (see commit 8ccebd9).
The nopathchange preprocessor option was always triggered, regardless of whether it was passed or not (see commit 41e6eca).
When ramsey_policy is used, allow state variables to be set in histval block. (#1193)
histval erroneously accepts leads, leading to cryptic crashes (#1510)
The prior MC draws from previous runs were not deleted, potentially resulting in loading stale files (#1515)
estim_params_ was being declared global more than once. (#1518)
Fixed crashes happening when simulating linear models with order>1 (see commit 0f84dad).
Make empirical moments independent of simul_replic, as stated in the reference manual, by outputting moments computed with the first simulated sample (see commit f0b9f45).
The prior_function required a preceding estimation-command to properly set up the prior (see commit 802536d).
If the mode for a parameter was at exactly 0, mode_check was crashing (see commit 86e6464)
Fixed get_posterior_parameters-routine which should not do more than getting parameters (see commit 0f3b68e and #1506). As a consequecence, the shock_decomposition-command does not correctly set the parameter_set for use in subsequent function calls if shocks are correlated or measurement error is present.
Fixed bug in Ramsey problem with constraints both on a policy instrument and another variable. (see commit b1fc34e). Note that the constraint on a variable that is not an instrument of the Ramsey problem must be written with an equation tag in the model block.
Fixed bug in Ramsey problem with constraints on policy instrument (see commit 0068f9f).
Fixed crash with optimizer 5 ('newrat') when not used with DSGE model at order 1 (see issue #1494 and commit da063b2)
Bugs in version 4.5.0 that have been fixed in version 4.5.1
Fixed out of memory issue with simpsa algorithm (commit).
Added missing plots for measurement errors with generate_trace_plot command (commit)
Posterior moments after MCMC for very big models (size_of_the_reduced_form_model(oo_.dr)*options_.sub_draws>options_.MaximumNumberOfMegaBytes) were not correctly computed and their plotting might crash Dynare (commit)
Results of the posterior conditional variance decomposition after MCMC were not correctly computed (commit)
Options use_shock_groups and colormap of the shock_decomposition command were not working (see #1470) (commit)
Added a clean error message if sensitivity toolbox is used with recursive estimation (commit)
Computation of posterior filtered variables was crashing in models with only one variable (commit)
Fixed various typos and errors in the reference manual
Bugs in version 4.4.3 that have been fixed in version 4.5.0
bvar_irf could display IRFs in an unreadable way when they moved from
negative to positive values (commit),
In contrast to what is stated in the documentation, the confidence interval
size conf_sig was 0.6 by default instead of 0.9 (#338).
The conditional_forecast command produced wrong results in calibrated
models when used at initial values outside of the steady state (given with
The plot_conditional_forecast option could produce unreadable figures if
the areas overlap (#1155),
The conditional_forecast command after MLE crashed (#1220),
In contrast to what is stated in the manual, the confidence interval size
conf_sig was 0.6 by default instead of 0.8 (#338).
Conditional forecasts were wrong when the declaration of endogenous
variables was not preceeding the declaration of the exogenous
variables and parameters (#1276, fixed in #1277).
Dynare allowed running models where the number of instruments did not match
the number of omitted equations (#1042),
Dynare could crash in some cases when trying to display the solution (#1042),
Parameter dependence embedded via a steady_state was not taken into
account, typically resulting in crashes (#1241).
When subtracting a dseries object from a number, the number was instead
subtracted from the dseries object (link).
Dynare crashed when estimation encountered non-finite values in the Jacobian
at the steady state (#1190),
The presence of a constant was not considered for degrees of freedom
computation of the Gamma function used during the posterior computation; due
to only affecting the constant term, results should be be unaffected, except
for model_comparison when comparing models with and without (#1212).
In contrast to what was stated in the manual, the confidence interval size
conf_sig for forecast without MCMC was 0.6 by default instead of 0.9 (#338),
Calling estimation after identification could lead to crashes (#675),
When using recursive estimation/forecasting and setting some elements of
nobs to be larger than the number of observations T in the data,
oo_recursive_ contained additional cell entries that simply repeated the
results obtained for oo_recursive_T,
Computation of Bayesian smoother could crash for larger models when
requesting forecast or filtered_variables,
Geweke convergence diagnostics were not computed on the full MCMC chain when
the load_mh_file option was used,
The Geweke convergence diagnostics always used the default taper_steps and
Bayesian IRFs (bayesian_irfs option) could be displayed in an unreadable
way when they move from negative to positive values,
If bayesian_irfs was requested when mh_replic was too low to compute
HPDIs, plotting was crashing (#1326),
The x-axis value in oo_.prior_density for the standard deviation and
correlation of measurement errors was written into a field
mearsurement_errors_* instead of measurement_errors_*(#1353),
Using a user-defined mode_compute crashed estimation,
Option mode_compute=10 did not work with infinite prior bounds,
The posterior variances and covariances computed by moments_varendo were
wrong for very large models due to a matrix erroneously being filled up with
Using the forecast option with loglinear erroneously added the unlogged
steady state (#852),
When using the loglinear option the check for the presence of a constant
was erroneously based on the unlogged steady state (#852),
Estimation of observation_trends was broken as the trends specified as a
function of deep parameters were not correctly updated during estimation (#852),
When using analytic_derivation, the parameter values were not set before
testing whether the steady state file changes parameter values, leading to
If the steady state of an initial parameterization did not solve, the
observation equation could erroneously feature no constant when the
use_calibration option was used (#698),
When computing posterior moments, Dynare falsely displayed that moment
computations are skipped, although the computation was performed correctly,
If conditional_variance_decomposition was requested, although all
variables contain unit roots, Dynare crashed instead of providing an error
Computation of the posterior parameter distribution was erroneously based
on more draws than specified (there was one additional draw for every Markov
The estimation option lyapunov=fixed_point was broken,
Computation of filtered_vars with only one requested step crashed Dynare,
Option kalman_algo=3 was broken with non-diagonal measurement error (#1235),
When using the diffuse Kalman filter with missing observations, an additive
factor log(2*pi) was missing in the last iteration step (#1235),
Passing of the MaxFunEvals and InitialSimplexSize options to
mode_compute=8 was broken,
Bayesian forecasts contained initial conditions and had the wrong length in
both plots and stored variables,
Filtered variables obtained with mh_replic=0, ML, or
calibrated_smoother were padded with zeros at the beginning and end and
had the wrong length in stored variables,
Computation of smoothed measurement errors in Bayesian estimation was broken,
The selected_variables_only option (mh_replic=0, ML, or
calibrated_smoother) returned wrong results for smoothed, updated, and
filtered variables (#1161),
Combining the selected_variables_only option with forecasts obtained
using mh_replic=0, ML, or calibrated_smoother leaded to crashes,
oo_.UpdatedVariables was only filled when the filtered_vars option was specified (#1366),
When using Bayesian estimation with filtered_vars, but without
smoother, then oo_.FilteredVariables erroneously also contained filtered
variables at the posterior mean as with mh_replic=0(#738),
Running an MCMC a second time in the same folder with a different number of
iterations could result in crashes due to the loading of stale files,
Results displayed after Bayesian estimation when not specifying
the smoother option were based on the parameters at the mode
from mode finding instead of the mean parameters from the
posterior draws. This affected the smoother results displayed, but
also calls to subsequent command relying on the parameters stored
in M_.params like stoch_simul,
The content of oo_.posterior_std after Bayesian estimation was based on
the standard deviation at the posterior mode, not the one from the MCMC, this
was not consistent with the reference manual (#1013),
When the initialization of an MCMC run failed, the metropolis.log file was
locked, requiring a restart of Matlab to restart estimation (#1155),
If the posterior mode was right at the corner of the prior bounds, the
initialization of the MCMC erroneously crashed (#1155),
If the number of dropped draws via mh_drop coincided with the number of
draws in a _mh'-file, oo_.posterior.metropolis.mean and
oo_.posterior.metropolis.Variance were NaN (#1297).
Estimation and calibrated smoother
When using observation_trends with the prefilter option, the mean shift
due to the trend was not accounted for (#852),
When using first_obs>1, the higher trend starting point of
observation_trends was not taken into account, leading, among other things,
to problems in recursive forecasting (#852),
The diffuse Kalman smoother was crashing if the forecast error variance
matrix became singular (link),
The multivariate Kalman smoother provided incorrect state estimates when
all data for one observation are missing (#1324),
The multivariate diffuse Kalman smoother provided incorrect state estimates
when the Finf matrix becomes singular (#1324),
The univariate diffuse Kalman filter was crashing if the initial covariance
matrix of the nonstationary state vector is singular (#1324),
In contrast to what is stated in the manual, the confidence interval size
conf_sig was 0.6 by default instead of 0.9 (#338),
Forecasting with exogenous deterministic variables crashed when the
periods option was not explicitly specified (#1325),
Option forecast when used with initval was using the initial values in
the initval block and not the steady state computed from these initial
values as the starting point of forecasts (#692).
Global Sensitivity Analysis
Sensitivity with ML estimation could result in crashes,
Option mc must be forced if neighborhood_width is used (link),
Fixed dimension of stock_logpo and stock_ys(link),
Incomplete variable initialization could lead to crashes with prior_range=1.
Identification did not correctly pass the lik_init option,
requiring the manual setting of options_.diffuse_filter=1 in
case of unit roots ,
Testing identification of standard deviations as the only
parameters to be estimated with ML leaded to crashes,
Automatic increase of the lag number for autocovariances when the
number of parameters is bigger than the number of non-zero moments
When using ML, the asymptotic Hessian was not computed (#1238),
Checking for singular values when the eigenvectors contained only
one column did not work correctly (#1238),
Selection of the modifiedharmonicmean estimator was broken (#1015).
Optimal Simple Rules
When covariances were specified, variables that only entered with
their variance and no covariance term obtained a wrong weight,
resulting in wrong results (#767),
Results reported for stochastic simulations after osr were based
on the last parameter vector encountered during optimization,
which does not necessarily coincide with the optimal parameter
Using only one (co)variance in the objective function resulted in crashes (#767),
For models with non-stationary variables the objective function was computed wrongly (#767).
If a Lagrange multiplier appeared in the model with a lead or a lag
of more than one period, the steady state could be wrong (#633).
When using an external steady state file, incorrect steady states
could be accepted,
When using an external steady state file with more than one
instrument, Dynare crashed (#696),
When using an external steady state file and running stoch_simul
after ramsey_planner, an incorrect steady state was used,
When the number of instruments was not equal to the number of
omitted equations, Dynare crashed with a cryptic message (#1241),
The planner_objective accepted varexo, but ignored them for computations,
Did not work with the parameter_set=calibration option if an
estimated_params block is present (link),