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From |
Steven Samuels <sjhsamuels@earthlink.net> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: question about cluster() option in regression |

Date |
Thu, 12 Feb 2009 11:19:00 -0500 |

--

-Steve On Feb 12, 2009, at 10:11 AM, ronggui wrote:

Hi all, When the data is clustered rather then independent, there are many possible ways to handle it such as dummy variable, panel data models (fixed or random effects), GEE and multilevel model (e.g. http://www.gseis.ucla.edu/courses/ed230bc1/notes3/cluster.html). Of course, cluster() option of reg is one quick choice too. Yet, I have noticed that the result (especially coef) from reg differs that from multilevel model. Furthermore, this kind of adjustment is rare in other statistical software. All of this makes me cast doubt on the practices of regression with cluster() option in the Stata way. I wonder if there is paper on this, especially if this adjustment is proper or improper? Besides, can we predict the change of level of significance by using cluster()? Thanks in advance.

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**References**:**st: question about cluster() option in regression***From:*ronggui <ronggui.huang@gmail.com>

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