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recsSS

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 variables. S = recsSS(MODEL,S,X) uses the vector X as first guess for steady-state response variables. 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