- New `log` option to the `var` statement. In addition to the endogenous variable(s) thus declared, this option also triggers the creation of auxiliary variable(s) equal to the log of the corresponding endogenous variable(s). For example, given a ``var(log) y`` statement, two endogenous will be created (``y`` and ``LOG_y``), and an auxiliary equation linking the two will also be added (equal to ``y = exp(LOG_y)``). Moreover, every occurrence of ``y`` in the model will be replaced by ``exp(LOG_y)``. This option is for example useful when one wants to perform a loglinear approximation of some variable(s) in the context of a first-order stochastic approximation; or when one wants to ensure the variable(s) stay(s) in the definition domain of the function defining the
- New `log` option to the `var` statement. In addition to the endogenous variable(s) thus declared, this option also triggers the creation of auxiliary variable(s) equal to the log of the corresponding endogenous variable(s). For example, given a ``var(log) y`` statement, two endogenous will be created (``y`` and ``LOG_y``), and an auxiliary equation linking the two will also be added (equal to ``y = exp(LOG_y)``). Moreover, every occurrence of ``y`` in the model will be replaced by ``exp(LOG_y)``. This option is for example useful when one wants to perform a loglinear approximation of some variable(s) in the context of a first-order stochastic approximation; or when one wants to ensure the variable(s) stay(s) in the definition domain of the function defining the
steady state or the dynamic residuals when the nonlinear solver is used. (#349)
steady state or the dynamic residuals when the nonlinear solver is used. (#349)
- The `osr` command now accepts the `analytical_derivation` and `analytical_derivation_mode` options (!2171)
- Possibility of specifying a truncated normal distribution as a prior, using the 3rd and 4th parameters of the `estimated_params` block as the bounds (!2161)
- Possibility of specifying a truncated normal distribution as a prior, using the 3rd and 4th parameters of the `estimated_params` block as the bounds (!2161)
- Allows decomposition of the PAC target into an arbitrary number of components. (b297353b06c9c35223500439c0bc63321675768b)
- Allows decomposition of the PAC target into an arbitrary number of components. (b297353b06c9c35223500439c0bc63321675768b)
