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From |
Conny Chen <ckarnes@emory.edu> |

To |
statalist@hsphsun2.harvard.edu, baum@bc.edu |

Subject |
Re: st: SUR and unbalanced panel data |

Date |
Fri, 19 Oct 2007 22:42:19 -0400 |

Hi Kit,

Thanks again for your response. I've run into a bit of trouble with the scaling part. I have two groups, with 48 and 19 observations respectively, and both have 18 independent variables. Perhaps I'm not understanding this correctly, but when I stack the X matrices, I end up with a 67x36 ((48+19)*(18+18)) matrix.I'm not sure how to scale this with the covariance matrix. Do I calculate the feasible GLS estimator as

b={X'(omega^-1)X}^-1*{X'(omega^-1)y}?

I keep running into conformability errors since (omega^-1) ends up being a 96x96 matrix.

Is there another way to calculate this? Thanks so much for your help.

Conny

statalist-digest wrote:

------------------------------

Date: Thu, 18 Oct 2007 06:59:55 -0400

From: Kit Baum <baum@bc.edu>

Subject: st: Re: SUR and unbalanced panel data

A SUR on unbalanced panels can be done, but not in Stata without some programming. -sureg- does not have an option to handle that case. Essentially you just need to run the individual OLS regressions that are done in the first stage of SUR, save their residuals, and compute the matrix of _pairwise_ correlations rather than the standard correlation matrix that is generated by -sureg- as e(Sigma). It would then take some programming (most easily done in Mata) to assemble the appropriate X matrices and y vectors and compute the SUR estimator. Each of the GLS terms can be written as the sum of the diagonal chunks of the stacked X matrix, crossed with either the same X or with the appropriate piece of y, scaled by the appropriate pairwise correlation (more properly, covariance from your new e(Sigma) matrix). The textbook SUR treatment considers that each X matrix has T rows but perhaps a different number of columns; this just says that each X matrix may have T_g rows, where that value differs across equations. Relative to the -sureg- implementation, allowing for unbalanced panels is just a matter of housekeeping.

Kit Baum, Boston College Economics and DIW Berlin

http://ideas.repec.org/e/pba1.html

An Introduction to Modern Econometrics Using Stata:

http://www.stata-press.com/books/imeus.html

On Oct 18, 2007, at 2:33 AM, statalist-digest wrote:

Hi there. I am trying to run a SUR and have an unbalanced panel data

set. I've been referring to Baum's Introduction to Modern Econometrics

and it states that the model could be fitted with an unbalanced panel.

I've tried using the SUREG command, but it defaults to using the least

number of observations on all of the groups. I'd like to be able to

exploit the extra observations I have for one of the groups. Does anyone

know how to do this?

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