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From |
Maarten Buis <maartenlbuis@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: conception confusion - "fixed effects" and time effect on data with time factor |

Date |
Fri, 21 Oct 2011 19:37:02 +0200 |

On Fri, Oct 21, 2011 at 6:58 PM, House Wang <jwanghouse@gmail.com> wrote: > When you said "Time can have an effect on your outcome in > the sense of aging or decay or it can be a proxy for everything that > happened in a given year that in turn may have influenced your outcome > variable." I think the time effect can be both. If so, should I have > two separate models: one is for the sense of aging, the other is for a > proxy for everything? > May I put them together? What I did is like this: xttobit y1 x1 x2 x3 > year, i(year) ll(0) ul(1). > I write this model to see 1) random effects for year and 2) trend > effect for year. > The model works. The results show that there are no random effects for > year, but some small but significant trend effects for the variable > year. My interpretation about random effects is that there is no > effect due to year as a proxy for everything that are confounding > variable. If this is correct, I will not add year as a categorical > variable. And I will go back to normal tobit model and add year as a > trend variable. > But I am still not sure whether this model make sense. You are right to be skeptical, so am I. Your model identifies the difference between "trend time" and "proxy time" using the assumption that the trend is linear, which is almost never true. You really need to decide what it is that you want to measure, and and think of a model that will get you that. From that, derive the role time plays in your model (note model, not data or reality or ...). By focusing on what you want to know, you can often trim your model to manageable proportions. If you try to represent "reality" your model tends to explode. In the end: models are supposed to be useful, not true. Hope this helps, Maarten -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: conception confusion - "fixed effects" and time effect on data with time factor***From:*House Wang <jwanghouse@gmail.com>

**References**:**st: conception confusion - "fixed effects" and time effect on data with time factor***From:*House Wang <jwanghouse@gmail.com>

**Re: st: conception confusion - "fixed effects" and time effect on data with time factor***From:*Richard Williams <richardwilliams.ndu@gmail.com>

**Re: st: conception confusion - "fixed effects" and time effect on data with time factor***From:*House Wang <jwanghouse@gmail.com>

**Re: st: conception confusion - "fixed effects" and time effect on data with time factor***From:*Maarten Buis <maartenlbuis@gmail.com>

**Re: st: conception confusion - "fixed effects" and time effect on data with time factor***From:*House Wang <jwanghouse@gmail.com>

**Re: st: conception confusion - "fixed effects" and time effect on data with time factor***From:*Maarten Buis <maartenlbuis@gmail.com>

**Re: st: conception confusion - "fixed effects" and time effect on data with time factor***From:*House Wang <jwanghouse@gmail.com>

**Re: st: conception confusion - "fixed effects" and time effect on data with time factor***From:*Maarten Buis <maartenlbuis@gmail.com>

**Re: st: conception confusion - "fixed effects" and time effect on data with time factor***From:*House Wang <jwanghouse@gmail.com>

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