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From | William Gui Woolston <william.woolston@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Panel data: large number of linear time trends |
Date | Fri, 24 Feb 2012 09:09:47 -0800 |
Dear Statalist Users, I am estimating a panel data model, where the unit of observation is a county-year. There are roughly 3,100 counties in the United States, and I have data for 12 years. I wish to include linear county-time trends. That is, I want a separate time trend for each county. Estimating this model by "brute force" (by interacting time with a dummy for each county) would mean having an additional 3,100 variables to my model. Is there a more efficient way to estimate this model? Thank you so much for your consideration. William PS. Note that some versions of this question have appeared in earlier Statalist threads (http://www.stata.com/statalist/archive/2011-05/msg00035.html, for exacmple), but none of them provides a satisfactory answer. * * 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/