Automatic Solution and Log Linearisation of DSGE Models 1.0

------------------------------------------------------------PURPOSE: Performs log-linearisation.------------------------------------------------------------SYNTAX: result = LogLin( VarEndoNames, VarExoNames, Parameters, Equations, SolveMode, EvalMode, EvalString, Digits );------------------------------------------------------------EXAMPLE: result = LogLin( { 'R', 'A' }, { 'EPSILON' }, { 'beta', 'rho' }, { 'beta * R * A / A(+1) = 1', 'A = A(-1) ^ rho * exp( EPSILON )' }, 2, 2 );------------------------------------------------------------OUTPUT: result: a cell array of log-linearised equations, with __d appended to variable names that are deviations from steady state.------------------------------------------------------------INPUT: VarEndoNames: a cell array of endogenous variable names% VarExoNames: a cell array of exogenous variable names% Parameters: a cell array of parameter names% Equations: a cell array of equations, in Dynare notation% SolveMode: specifies how the steady state is found% SolveMode = 0 ---> the steady state is not found, instead __s is appended to the variable names% SolveMode = 1 ---> the steady state is found analytically% SolveMode = 2 ---> the steady state is found analytically, allowing all algebraic manipulations% SolveMode = 3 ---> the steady state is found analytically, assuming real values% SolveMode = 4 ---> the steady state is found numerically% EvalMode: specifies any processing of the found equations% EvalMode = 0 ---> no additional processing% EvalMode = 1 ---> simplification% EvalMode = 2 ---> simplification, allowing all algebraic manipulations% EvalMode = 3 ---> numeric evaluation, to Digits precision% EvalString: string of comma delimited equations, useful for specifying parameters or your own computed steady state values (e.g. 'beta=0.99,rho=1/2', or 'A=1') Digits: (optional) the number of digits of accuracy for numerical compuations------------------------------------------------------------Copyright dlTe 2011 Tom Holden ( http://www.tholden.org/ )------------------------------------------------------------

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Additional,  Assuming,  Evaluation,  Numeric,  Numerically,  Precision,  Processing,  Simplification,  String,  Values
Users rating:	0/10