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Size: 17540
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|| || {{{<<string>>}}} || 0 || {{{options_.ms.load_mh_file}}} || load_md_file || || | || || {{{<<string>>}}} || 0 || {{{options_.ms.load_mh_file}}} || load_mh_file || || |
Miscellaneous Commands needed by Matlab to link to the Mex Functions (below)
Dynare Option and Argument |
Comments |
Default |
Matlab Variable Name |
Previous Dynare Option Name |
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create_initialization_file |
<<integer>> |
1. to create init_<output_file_tag>.dat 0. Otherwise |
1 |
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create_initialization_file |
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mode_compute |
<<integer>> |
1. Use csminwel to estimate the mode 0. Will not try to estimate the model |
1 |
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estimate_msmodel |
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mode_file |
<<string>> |
Mode file to load instead of re-estimating the model |
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coefficients_prior_hyperparameters |
<<vec_value>> |
Sets the hyper parameters for the sbvar (mu in sz_prd.m), this should be a vector of doubles of length 6 |
[1.0 1.0 0.1 1.2 1.0 1.0] |
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adaptive_mh_draws |
<<integer>> |
Number of draws for the Adaptive MH step |
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load_mh_file |
<<string>> |
Filename of previously computed simulation run, load this instead of simulating the model again. |
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freq |
<<integer>> |
quarters or months |
4 |
q_m |
freq |
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initial_year |
<<integer>> |
beginning of the year |
|
yrBin |
initial_year |
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initial_subperiod |
<<integer>> |
beginning of the quarter or month |
1 |
qmBin |
initial_subperiod |
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final_year |
<<integer>> |
final year |
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yrFin |
final_year |
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final_subperiod |
<<integer>> |
final month or quarter |
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qmFin |
final_subperiod |
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datafile |
<<string>> |
Load data |
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data_file |
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varlist |
<<vec_value>> |
Names of variables |
|
varlist |
varlist |
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restriction_fname |
<<string>> |
file for restriction on time variations |
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idfile_const |
restriction_fname |
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nlags |
<<integer>> |
Number of lags |
4 |
lags |
nlags |
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cross_restrictions |
<<integer>> |
1: cross-A0-and-A+ restrictions |
0 |
indxc0Pres |
cross_restrictions |
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contemp_reduced_form |
<<integer>> |
1: contemporaneous recursive reduced form |
0 |
Rform |
comtemp_reduced_form |
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bayesian_prior |
<<integer>> |
1: Bayesian prior |
1 |
indxPrior |
bayesian_prior |
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alpha |
<<double>> |
Alpha value for squared time-varying structural shock lambda. |
1.0 |
galp |
alpha |
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beta |
<<double>> |
Beta value for squared time-varying structural shock lambda. |
1.0 |
gbeta |
beta |
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gsig2_lmd |
<<integer>> |
Case 4 (no state change across variables (i) and across lags (l); only one scale factor for all lagged variables change from state to state). Normal prior variance for structural shock lambda, one scale factor for all lagged D+ in a given equation. |
502 |
gsig2_lmd |
gsig2_lmd |
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gsig2_lmdm |
<<integer>> |
Case 3 (no state change across lags (l) but allows all variables for a given lag to switch states). Normal prior variance for different variables in lagged D+. |
502 |
gsig2_lmdm |
gsig2_lmdm |
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upper_cholesky |
<<integer>> |
|
0 |
upper_cholesky |
upper_cholesky |
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lower_cholesky |
<<integer>> |
|
0 |
lower_cholesky |
lower_cholesky |
Mex Functions
Create Init File Syntax (from switch_dw/state_space/sbvar/create_init_file.c):
create_init_file <matlab filename> <markov filename> <file tag>
Standalone Argument (no flags) |
Dynare Option and Argument |
Previous Dynare Option Name |
Comments |
|||
<matlab filename> |
None. Set automatically in sz_prd.m |
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matlab file name |
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<markov filename> |
markov_file |
<<string>> |
markov_file |
Markov file name |
||
<file tag> |
output_file_tag |
<<string>> |
output_file_tag |
The output file tag |
Estimation (from switch_dw/state_space/sbvar/sbvar_estimate.c):
Option |
Value |
Default |
Dynare Option |
Preproccessor Option |
Comments |
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|
1 |
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mode_compute |
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fp |
<<string>> |
|
options_.ms.mode_file |
mode_file |
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ft |
<<string>> |
|
M_.fname |
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seed |
<<integer>> |
0 |
options_.DynareRandomStreams.seed |
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random |
<<integer>> |
5 |
options_.ms.estimate.random |
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random_max |
<<integer>> |
20 |
options_.ms.estimate.random_max |
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random_tol_obj |
<<float>> |
0.1 |
options_.ms.estimate.random_tol_obj |
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random_tol_parms |
<<float>> |
0.1 |
options_.ms.estimate.random_tol_parms |
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cb |
<<float>> |
1e-3 |
options_.ms.estimate.cb |
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ce |
<<float>> |
1e-6 |
options_.ms.estimate.ce |
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ci |
<<float>> |
0.1 |
options_.ms.estimate.ci |
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ib |
<<integer>> |
50 |
options_.ms.estimate.ib |
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ii |
<<float>> |
2.0 |
options_.ms.estimate.ii |
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mb |
<<integer>> |
100 |
options_.ms.estimate.mb |
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Simulation (from switch_dw/state_space/sbvar/sbvar_simulate.c):
Option |
Value |
Default |
Dynare Option |
Preproccessor Option |
Comments |
|
<<string>> |
0 |
options_.ms.load_mh_file |
load_mh_file |
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ft |
<<string>> |
|
M_.fname |
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seed |
<<integer>> |
0 |
options_.DynareRandomStreams.seed |
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ndraws |
<<integer |
1000 |
options_.ms.mh_replic |
mh_replic |
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burnin |
<<integer>> |
0.1*ndraws |
options_.ms.drop |
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thin |
<<integer>> |
1 |
options_.ms.thinning_factor |
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mh |
<<integer>> |
30000 |
options_.ms.adapative_mh_draws |
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Marginal Data Density (from switch_dw/state_space/sbvar/sbvar_mdd.c):
Option |
Value |
Default |
Dynare Option |
Preproccessor Option |
Comments |
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|
1 |
options_.ms.compute_mdd |
compute_mdd |
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ft |
<<string>> |
|
M_.fname |
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seed |
<<integer>> |
0 |
options_.DynareRandomStreams.seed |
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d |
<<integer>> |
100000 |
options_.ms.mdd_proposal_draws |
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pt |
<<integer>> |
2 |
options_.ms.mdd_proposal_type(1) |
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l |
<<float>> |
0.1 |
options_.ms.mdd_proposal_type(2) |
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u |
<<float>> |
0.9 |
options_.ms.mdd_proposal_type(3) |
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use_mean |
<<intger>> |
0 |
options_.ms.mdd_use_mean_center |
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Regime Probability (from switch_dw/state_space/sbvar/sbvar_probabilities.c):
Option |
Value |
Default |
Dynare Option |
Preproccessor Option |
Comments |
|
|
1 |
options_.ms.compute_probabilities |
compute_probabilities |
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ft |
<<string>> |
|
M_.fname |
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seed |
<<integer>> |
0 |
options_.DynareRandomStreams.seed |
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filtered |
<<integer>> |
1 |
options_.ms.filtered_probabilities |
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real_time_smoothed |
<<integer>> |
0 |
options_.ms.real_time_smoothed_probabilities |
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Impulse Responses (from mex/sources/ms-sbvar/mex_ms_irf.cc):
Option |
Value |
Default |
Dynare Option |
Preproccessor Option |
Comments |
1st Argument |
<<string>> |
|
M_.fname |
|
<<file_tag>> |
seed |
<<integer>> |
0 |
options_.DynareRandomStreams.seed |
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free_parameters |
<<vector>> |
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horizon |
<<integer>> |
|
options_.ms.irf |
irf |
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filtered |
<<integer>> |
0 |
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error_bands |
<<integer>> |
1 |
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percentiles |
<<vector>> |
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parameter_uncertainty |
<<integer>> |
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shocks |
<<integer>> |
10000 or 10 |
options_.ms.shocks_per_parameter & options_.ms.shock_draws |
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thin |
<<integer>> |
1 |
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regimes |
<<integer>> |
0 |
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simulation_file |
<<string>> |
simulation_<file_tag>.out |
options_.ms.load_mh_file or simulation_<file_tag>.out |
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median |
<<integer>> |
0 |
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Forecast (from mex/sources/ms-sbvar/mex_ms_forecast.cc):
Option |
Value |
Default |
Dynare Option |
Preproccessor Option |
Comments |
1st Argument |
<<string>> |
|
M_.fname |
|
<<file_tag>> |
seed |
<<integer>> |
0 |
options_.DynareRandomStreams.seed |
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free_parameters |
<<vector>> |
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horizon |
<<integer>> |
|
options_.ms.forecast |
forecast |
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filtered |
<<integer>> |
0 |
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error_bands |
<<integer>> |
1 |
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percentiles |
<<vector>> |
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parameter_uncertainty |
<<integer>> |
|
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shocks |
<<integer>> |
10000 or 10 |
options_.ms.shocks_per_parameter & options_.ms.shock_draws |
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thin |
<<integer>> |
1 |
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regimes |
<<integer>> |
0 |
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simulation_file |
<<string>> |
simulation_<file_tag>.out |
options_.ms.load_mh_file or simulation_<file_tag>.out |
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median |
<<integer>> |
0 |
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Variance Decomposition (from mex/sources/ms-sbvar/mex_ms_variance_decomposition.cc):
Option |
Value |
Default |
Dynare Option |
Preproccessor Option |
Comments |
1st Argument |
<<string>> |
|
M_.fname |
|
<<file_tag>> |
seed |
<<integer>> |
0 |
options_.DynareRandomStreams.seed |
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|
free_parameters |
<<vector>> |
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horizon |
<<integer>> |
|
options_.ms.variance_decomposition |
variance_decomposition |
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filtered |
<<integer>> |
0 |
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error_bands |
<<integer>> |
0 |
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percentiles |
<<vector>> |
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parameter_uncertainty |
<<integer>> |
|
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shocks |
<<integer>> |
10000 or 10 |
options_.ms.shocks_per_parameter & options_.ms.shock_draws |
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thin |
<<integer>> |
1 |
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regimes |
<<integer>> |
0 |
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simulation_file |
<<string>> |
simulation_<file_tag>.out |
options_.ms.load_mh_file or simulation_<file_tag>.out |
|
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median |
<<integer>> |
0 |
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mean |
<<integer>> |
1 |
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