Am 29.05.2011 14:10, schrieb Luke Hartigan:
Hi all,
I am interested in estimatingan unobservable parameter via the Kalman
Filter usingGretl.
Basically, I need some helpin how toformulateandestimatea time
varyingNAIRU model:
Measurement equation:
Inflation_t =B_1*Inflation_t-1 +B_2 * (Unemployment_rate_t–NAIRU_t) + e_t
Transition equation:
NAIRU_t = NAIRU_t-1 + n_t
The part I am unsure ofinvolvesspecifyingthemodel in state-space form.
I have consulted the manual and while it is very useful, Ijust need a
little moreguidanceif possible.
Thank you
gretl developer Jack Lucchetti has written an article about the state
space stuff in the Journal of Statistical software. It should also be
useful.
-sven