For instance, suppose you have the very simple model: log(c)=a*log(R)+b*un R=c*C+G
c and R are your endogenous variables, un and G your exogenosu ones. Then define the function: function resid=model(param) resid(1)=log(param(1))-a*log(param(2))-b*un resid(2)=param(2)-c*param(1)-G endfunction provided that un and G are the values of your exogenous variables at the simulation date and that you have guesstimate of 100 and 110 for C and R , then x=fsolve([100;110],model) should do the trick Help fsolve for more details on the working of fsolve. Eric. 2014-09-27 16:33 GMT+02:00 Mathseco <[email protected]>: > could you please elaborate little more on how can i apply fsolve function > here as I am a beginner in scilab?? Thanks > > > > -- > View this message in context: > http://mailinglists.scilab.org/Simulation-of-static-general-equilbiirum-model-tp4031213p4031216.html > Sent from the Scilab users - Mailing Lists Archives mailing list archive > at Nabble.com. > _______________________________________________ > users mailing list > [email protected] > http://lists.scilab.org/mailman/listinfo/users >
_______________________________________________ users mailing list [email protected] http://lists.scilab.org/mailman/listinfo/users
