diff --git a/matlab/ms-sbvar/ms_forecast.m b/matlab/ms-sbvar/ms_forecast.m index e267319b9379ac1b252f226e72471285346c6543..68a3152dae5c7fb724c9549a8146a0559645834b 100644 --- a/matlab/ms-sbvar/ms_forecast.m +++ b/matlab/ms-sbvar/ms_forecast.m @@ -81,21 +81,21 @@ mexErrCheck('ms_forecast',err); % Plot Forecasts if options_.ms.regimes n_chains = length(options_.ms.ms_chain); - n_states=1; + n_regimes=1; for i_chain=1:n_chains - n_states = n_states*length(options_.ms.ms_chain(i_chain).regime); + n_regimes = n_regimes*length(options_.ms.ms_chain(i_chain).regime); end - for state_i=1:n_states + for regime_i=1:n_regimes forecast_data = load([forecastdir filesep 'forecasts_percentiles_regime_' ... - num2str(state_i-1) '_' options_.ms.output_file_tag ... + num2str(regime_i-1) '_' options_.ms.output_file_tag ... '.out'], '-ascii'); forecast_data = reshape_ascii_forecast_data(M_.endo_nbr, ... percentiles_size, options_.ms.horizon, forecast_data); - save([forecastdir filesep 'forecast_state_' num2str(state_i-1)], ... + save([forecastdir filesep 'forecast_regime_' num2str(regime_i-1)], ... 'forecast_data'); plot_ms_forecast(M_, options_, forecast_data, ... - ['Forecast, Regimes' num2str(state_i)], ... + ['Forecast, Regimes' num2str(regime_i)], ... options_.graph_save_formats, options_.TeX); end else @@ -103,7 +103,7 @@ else forecast_data = load([forecastdir filesep 'forecasts_percentiles_regime_' ... num2str(options_.ms.regime-1) '_' options_.ms.output_file_tag ... '.out'], '-ascii'); - forecast_title = ['Forecast, State ' num2str(options_.ms.regime)]; + forecast_title = ['Forecast, Regime ' num2str(options_.ms.regime)]; save_filename = ['forecast_regime_' num2str(options_.ms.regime-1)]; else forecast_data = load([forecastdir filesep 'forecasts_percentiles_' ... diff --git a/matlab/ms-sbvar/ms_irf.m b/matlab/ms-sbvar/ms_irf.m index ef8aa1028995b65af477569246a33f22e8d8f8d7..a69610f964528b50d592170c36c32b941cc32956 100644 --- a/matlab/ms-sbvar/ms_irf.m +++ b/matlab/ms-sbvar/ms_irf.m @@ -83,27 +83,27 @@ mexErrCheck('ms_irf',err); % Plot IRFs if options_.ms.regimes n_chains = length(options_.ms.ms_chain); - n_states=1; + n_regimes=1; for i_chain=1:n_chains - n_states = n_states*length(options_.ms.ms_chain(i_chain).regime); + n_regimes = n_regimes*length(options_.ms.ms_chain(i_chain).regime); end - for state_i=1:n_states + for regime_i=1:n_regimes irf_data = load([irfdir filesep 'ir_percentiles_regime_' ... - num2str(state_i-1) '_' options_.ms.output_file_tag ... + num2str(regime_i-1) '_' options_.ms.output_file_tag ... '.out'], '-ascii'); irf_data = reshape_ascii_irf_data(M_.endo_nbr, percentiles_size, ... options_.ms.horizon, irf_data); - save([irfdir filesep 'irf_state_' num2str(state_i-1)], 'irf_data'); + save([irfdir filesep 'irf_regime_' num2str(regime_i-1)], 'irf_data'); plot_ms_irf(M_, options_, irf_data, ... - ['Impulse Responses, State ' num2str(state_i)], varlist); + ['Impulse Responses, Regime ' num2str(regime_i)], varlist); end else if options_.ms.regime irf_data = load([irfdir filesep 'ir_percentiles_regime_' ... num2str(options_.ms.regime-1) '_' options_.ms.output_file_tag ... '.out'], '-ascii'); - irf_title = ['Impulse Response, State ' num2str(options_.ms.regime)]; + irf_title = ['Impulse Response, Regime ' num2str(options_.ms.regime)]; save_filename = ['irf_regime_' num2str(options_.ms.regime-1)]; elseif options_.ms.filtered_probabilities irf_data = load([irfdir filesep 'ir_percentiles_filtered_' ... diff --git a/matlab/ms-sbvar/ms_variance_decomposition.m b/matlab/ms-sbvar/ms_variance_decomposition.m index 8b9822f130a8a06f23d416931939043bc10c4fc0..3633cce3f17bf1e529410ce029196bc30fec11ac 100644 --- a/matlab/ms-sbvar/ms_variance_decomposition.m +++ b/matlab/ms-sbvar/ms_variance_decomposition.m @@ -96,24 +96,24 @@ end % Create plots if options_.ms.regimes n_chains = length(options_.ms.ms_chain); - n_states=1; + n_regimes=1; for i_chain=1:n_chains - n_states = n_states*length(options_.ms.ms_chain(i_chain).regime); + n_regimes = n_regimes*length(options_.ms.ms_chain(i_chain).regime); end - for state_i=1:n_states - vd_data = load([outfile num2str(state_i-1) '_' ... + for regime_i=1:n_regimes + vd_data = load([outfile num2str(regime_i-1) '_' ... options_.ms.output_file_tag '.out'], '-ascii'); vd_data = reshape_ascii_variance_decomposition_data( ... M_.endo_nbr, percentiles_size, options_.ms.horizon, vd_data); - save([vddir filesep 'variance_decomposition_state_' num2str(state_i-1)], 'vd_data'); + save([vddir filesep 'variance_decomposition_regime_' num2str(regime_i-1)], 'vd_data'); plot_ms_variance_decomposition(M_, options_, vd_data, ... - ['Variance Decomposition, State ...' num2str(state_i)], ... + ['Variance Decomposition, Regime ' num2str(regime_i)], ... options_.graph_save_formats, options_.TeX); end else if options_.ms.regime - vd_title = ['Variance Decomposition, State ' num2str(options_.ms.regime)]; + vd_title = ['Variance Decomposition, Regime ' num2str(options_.ms.regime)]; save_filename = ['variance_decomposition_regime_' num2str(options_.ms.regime-1)]; else save_filename = 'variance_decomposition';