Optimal simple rule - approximation order
Posted: Tue Jan 28, 2014 7:47 pm
Hi,
I am wondering about the Taylor approximation order used in the osr command.
In the manual of osr, it is said that "This command accepts the same options as stoch_simul". I take this so that one can specify the Taylor approximation order in the call, say "osr(order=2,irf=40)", which is then used *both* in osr calculation (optimizing the Taylor rule parameters vis-à-vis a second-order model) and subsequently in model simulation using its second-order approximation and optimized simple rules parameters.
However, it seems that on line 22 of osr.m the order is explicitly set to 1 (options_.order = 1). Is this deliberate? What if I comment that line out, hence allowing the user to call osr with approximations of order 2 (or even 3)?
I am using Dynare 4.4.1.
Best,
Lari
I am wondering about the Taylor approximation order used in the osr command.
In the manual of osr, it is said that "This command accepts the same options as stoch_simul". I take this so that one can specify the Taylor approximation order in the call, say "osr(order=2,irf=40)", which is then used *both* in osr calculation (optimizing the Taylor rule parameters vis-à-vis a second-order model) and subsequently in model simulation using its second-order approximation and optimized simple rules parameters.
However, it seems that on line 22 of osr.m the order is explicitly set to 1 (options_.order = 1). Is this deliberate? What if I comment that line out, hence allowing the user to call osr with approximations of order 2 (or even 3)?
I am using Dynare 4.4.1.
Best,
Lari