strange estimation results
Posted: Mon Apr 16, 2007 8:05 pm
Could you help me?
I've tried to estimate model, but results are strange. I've used maximum likelihood estimation with errors of measurement.
Some of standard deviations of parameters estimations are extremely small (T-stats more then 10000). As I understand, it means problems with convergence. But each of algorithms that I've used can't improve likelihood function. I've tried your default algorithm (mode_compute=4), fminunc, fminsearch and my stochastic search algorithm (for that algorithms I've changed dynare code).
Do you have any ideas why it could happen?
Thank you for help
I've tried to estimate model, but results are strange. I've used maximum likelihood estimation with errors of measurement.
Some of standard deviations of parameters estimations are extremely small (T-stats more then 10000). As I understand, it means problems with convergence. But each of algorithms that I've used can't improve likelihood function. I've tried your default algorithm (mode_compute=4), fminunc, fminsearch and my stochastic search algorithm (for that algorithms I've changed dynare code).
Do you have any ideas why it could happen?
Thank you for help