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Fixes bug introduced in 97b894a1, if no shocks
are declared (for instance if the user is interested in the transition to the
steady state).

Reduced the size of the unnecessary large array for the exogenous variables
introduced in 57fd56c9.

Innovations were hitting the model one period too late.

find(strcmp(,)) is faster than strmatch(,,'exact') and returns the same array
of integers.

Did not correctly account for exogenous variables being potentially present with leads and lags

(cherry picked from commit 949440ef9c0b92320ce05136d0e3613704c29c96)

(cherry picked from commit f7399f4d7417653ee658f2ab6918cbee8bff7307)

(cherry picked from commit ef0afc1b7571df79d60812f65cbefa02a2ffc450)

(cherry picked from commit be6b1628d1518b2cc8678b68f0e7578ad15226ad)

(cherry picked from commit 45a14d768d40e20904ebd055bc4893994531702b)

(cherry picked from commit 77b1d14083ea92220660631dbb7760c62cf4a7c9)

(cherry picked from commit ccfd809dd0984363e05ba77e27f2aaf9ce6fe548)

(cherry picked from commit b866bd828cfde830c227dbe935624e640197c409)

Also automatically trigger the mode for files with the .mod extension.

Wrong name for the data file. Also reduced the number of chains.

Trend + posterior filtered variables in a model with only one observed variable.

Was crashing in models with only one observed variable. The squeeze function
cannot be used in this case, only the first dimension  of
stock_filter_step_ahead should be squeezed.

Posterior moments: fix bug that prevented updating decision rules for parameter vector, leading to wrong results/crashes when computing second moments

When removing globals in 24cd4236 the call to set_parameters.m, which relies on M_ being global, was not removed. The problem arises

1. When computing second moments for big models with drsize*SampleSize>MaxMegaBytes (in which case decision rules dr were not saved, but recomputed)
2. When computing the conditional variance decomposition for all models regardless of size (dsge_simulated_theoretical_conditional_variance_decomposition.m relied on the wrong M_.Sigma_e in this case)

generate_trace_plots: Add measurement errors

simpsa: Only store output strcuture if requested

discretionary_policy_1.m: output which derivative is nonzero

Fix another typo in manual

Make osr error message more informative

Fix typos in manual

Thanks to Jean-Paul K. Tsasa

Fix bug in use_shock_groups

Option was not written to correct subfield of options_-structure. Related to 7cd56e96