brute_force_regime_guess (default) and loss_function_regime_guess (optional, more time consuming) may be used to search for better solution (i.e. a solution providing better data density). Governed by options_.occbin.likelihood.number_of_initial_periods_with_extra_regime_guess
where the latter is 0 by default and can be set by user
Also allows periodic loops to be a solution (periodic_solution_strict=false), provided regime is found that does not violate constraint in expectation AND the number of periods in violation is smaller than max allowed (periodic_solution_threshold= INTEGER)
when performing stochastic simulations, check ahead periods may increase endogenously at some point for regimes very long in expectation. such longer check ahead periods may considerably slow down convergence in subsequent periods, so users may want to avoid this.
It is now supported by the MATLAB editor (as of R2022a).
The old ASCII notation is left in some files that we copy as-is from other
sources (e.g. in the contrib/ and m4/ subdirectories).
The particles submodule is not updated at this point, because it is in an
inconsistent state.
[skip ci]
1) algo_truncation: sets the number of iterations for a truncated guess-verify algorithm (i.e. if max_iter<=algo_truncation, no error is triggered on output, but the user is happy with the last regime in the algorithm)
2) reset_regime_in_new_period: is set to true, it resets the guess regimes to unconstrained when a new shock arrives, instead of starting with a guess regime consistent with the one identified in previous time periods. this sometimes allows more robust convergence/identification of the regimes
Johannes Pfeifer
Marco Ratto
Sébastien Villemot
