RISE Toolbox Documentation

Getting started

  • 1. Getting started

Modeling

  • 1. Hit the ground running : An introductory example
  • 2. DSGE Modeling
    • 2.1. Description
    • 2.2. An example
    • 2.3. The model(rise/dsge) file language
    • 2.4. Deriving models with rise.microfound
    • 2.5. Very large models
    • 2.6. Setting up calibration and priors outside the model file
    • 2.7. Deterministic and quasi-deterministic solutions
    • 2.8. Stochastic solution via perturbation
    • 2.9. Optimal (Ramsey) policy
    • 2.10. Optimal (optimized) simple rules
    • 2.11. Stochastic simulations
    • 2.12. Generic simulations with plans
    • 2.13. Forecasting
    • 2.14. Resimulation and counterfactuals
    • 2.15. DSGE Filtering
    • 2.16. Occasionally-binding constraints
    • 2.17. Understanding a rise or dsge model object
    • 2.18. Extending the DSGE functionalities
    • 2.19. Automatic Translation of files
    • 2.20. Technical documentation for rise/dsge objects
      • 2.20.1. The properties
      • 2.20.2. The methods
  • 3. DSGE-VAR Modeling
  • 4. Reduced-form VAR Modeling
  • 5. Panel VAR Modeling
  • 6. Structural VAR Modeling
  • 7. Proxy (instrumental) SVAR Modeling

Estimation, data and analysis

  • 1. Bayesian Estimation
  • 2. Time Series and Data Management
  • 3. Global Sensitivity Analysis and Uncertainty Quantification
  • 4. Conditional forecasting using relative entropy
  • 5. RISE’s reporting system
  • 6. Stochastic Global Optimization
  • 7. Plotting tools

Extending RISE

  • 1. Extending RISE through paradigms

Reference and help

  • Troubleshooting
RISE Toolbox Documentation
  • 2. DSGE Modeling
  • 2.20. Technical documentation for rise/dsge objects
  • View page source

2.20. Technical documentation for rise/dsge objects

Contents:

  • 2.20.1. The properties
    • user_data
    • nsols
    • definitions
    • equations
    • filename
    • model_description
    • legend
    • endogenous
    • exogenous
    • observables
    • options
    • parameters
    • markov_chains
    • estimation
  • 2.20.2. The methods
    • abcd
    • accuracy
    • calculate_loss
    • calibrate
    • check_derivatives
    • condition_draws_on_model
    • counterfactual
    • dbminusdb
    • draw_parameter
    • drop
    • estimate
    • extract_first_order_structure
    • filter
    • fisher
    • fold_solution
    • forecast
    • forecast_real_time
    • frontier
    • get
    • growth_database
    • hessian
    • historical_decomposition
    • historical_decomposition_switch
    • indirect_inference
    • initial_conditions
    • initial_sstate
    • irf
    • is_forward_guidance_puzzle
    • is_stable_system
    • is_stationary_system
    • isnan
    • itranslate
    • link_parameters
    • loadObj
    • load_parameters
    • log_posterior_kernel
    • log_prior_density
    • map_solution
    • max_discrepancy
    • mode_curvature
    • model_information
    • observables_decomposition
    • optimal_simple_rule
    • parameters_to_file
    • perfect_foresight
    • plan2database
    • posterior_sample
    • predictive_analysis
    • print_estimation_results
    • print_solution
    • pull_objective
    • randsample
    • refresh
    • regime_partition_analysis
    • resid
    • resimulate
    • rise
    • saveObj
    • set
    • set_z_eplus_horizon
    • simulate
    • simulate_nonlinear
    • solve
    • solve_alternatives
    • srf
    • sstate
    • state_var_list
    • stoch_simul
    • summary
    • table
    • theoretical_autocorrelations
    • theoretical_autocovariances
    • translate
    • unlink_parameters
    • update_file
    • variance_decomposition
    • view_linked_parameters
Previous Next

© Copyright 2009-2026, Junior Maih.

Built with Sphinx using a theme provided by Read the Docs.