[R] simultaneous estimation

2010-08-31 Thread Murali.Menon
Hi folks, Not sure what this sort of estimation is called. I have a 2-column time-series x(i,t) [with (i=1,2; t=1,...T)], and I want to do the following 'simultaneous' regressions: x(1,t) = (d - 1)(x(1, t-1) - mu(1)) x(2,t) = (d - 1)(x(2, t-1) - mu(2)) And I want to determine the coefficients

Re: [R] simultaneous estimation

2010-08-31 Thread Gabor Grothendieck
On Tue, Aug 31, 2010 at 6:58 AM, murali.me...@avivainvestors.com wrote: Hi folks, Not sure what this sort of estimation is called. I have a 2-column time-series x(i,t) [with (i=1,2; t=1,...T)], and I want to do the following 'simultaneous' regressions: x(1,t) = (d - 1)(x(1, t-1) - mu(1))

Re: [R] simultaneous estimation

2010-08-31 Thread Duncan Murdoch
On 31/08/2010 6:58 AM, murali.me...@avivainvestors.com wrote: Hi folks, Not sure what this sort of estimation is called. I have a 2-column time-series x(i,t) [with (i=1,2; t=1,...T)], and I want to do the following 'simultaneous' regressions: x(1,t) = (d - 1)(x(1, t-1) - mu(1)) x(2,t) = (d -

Re: [R] simultaneous estimation

2010-08-31 Thread Murali.Menon
Message- From: Duncan Murdoch [mailto:murdoch.dun...@gmail.com] Sent: 31 August 2010 12:31 To: Menon Murali Cc: r-help@r-project.org Subject: Re: [R] simultaneous estimation On 31/08/2010 6:58 AM, murali.me...@avivainvestors.com wrote: Hi folks, Not sure what this sort of estimation

Re: [R] simultaneous estimation

2010-08-31 Thread David Winsemius
: [R] simultaneous estimation On 31/08/2010 6:58 AM, murali.me...@avivainvestors.com wrote: Hi folks, Not sure what this sort of estimation is called. I have a 2-column time-series x(i,t) [with (i=1,2; t=1,...T)], and I want to do the following 'simultaneous' regressions: x(1,t) = (d - 1)(x(1

Re: [R] simultaneous estimation

2010-08-31 Thread Duncan Murdoch
On 31/08/2010 11:00 AM, David Winsemius wrote: On Aug 31, 2010, at 10:35 AM, murali.me...@avivainvestors.com murali.me...@avivainvestors.com wrote: Hi Duncan, Thanks for your response. Indeed, independent normal errors were what I had in mind. As for variances, if I assume they are

Re: [R] simultaneous estimation

2010-08-31 Thread Bert Gunter
I would hazard the guess that this would be better estimated as a multivariate time series (e.g. AR1) in which the covariance between the two innovation components was NOT assumed to be 0 (nor were their variances assumed to be the same). The R time series task view lists packages to do this, but

Re: [R] simultaneous estimation

2010-08-31 Thread Murali.Menon
. Thanks, Murali From: Bert Gunter [mailto:gunter.ber...@gene.com] Sent: 31 August 2010 17:12 To: Duncan Murdoch Cc: David Winsemius; r-help@r-project.org; Menon Murali Subject: Re: [R] simultaneous estimation I would hazard the guess that this would be better