recsSS Solves for the deterministic steady state in rational expectations models
recsSS cannot find the deterministic steady state of a functional
equation problem since, in this case, the steady state depends on
the model solution.
S = recsSS(MODEL) tries to find the non-stochastic steady state of the model
defined in the object MODEL. This function call uses as first guess for
steady-state state and response variable the values available in the
properties sss and xss of the object MODEL. recsSS returns the value of the
state variables at steady state. MODEL is an object created by recsmodel.
S = recsSS(MODEL,S) uses the vector S as first guess for steady-state state
S = recsSS(MODEL,S,X) uses the vector X as first guess for steady-state response
S = recsSS(MODEL,S,X,OPTIONS) solves the problem with the parameters
defined by the structure OPTIONS. The fields of the structure are
display : 1 to display the steady state if found (default: 1)
eqsolver : 'fsolve', 'lmmcp' (default), 'ncpsolve' or 'path'
eqsolveroptions : options structure to be passed to eqsolver
[S,X] = recsSS(MODEL,...) returns the value of the response
variables at steady state.
[S,X,Z] = recsSS(MODEL,...) returns the value of the
expectations variable at steady state.
[S,X,Z,EXITFLAG] = recsSS(MODEL,...) returns EXITFLAG,
which describes the exit conditions. Possible values are
1 : recsSS converges to the deterministic steady state
0 : Failure to converge