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From | ARDE DE <wsbbarde@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Country and population weights in panel analysis |
Date | Fri, 15 Feb 2013 07:36:03 +0100 |
Dear All: We are running a panel analysis using aggregate data (like income, unemployment etc.) for 24 counties (regions) in some country. We have eight years of data. The counties differ substantially in size (population: from 500.000 to 20 million) such that the averages that we use in theory are not equally reliable, a fact that our model should reflect. We have two questions: 1) I know that in stata we can specify weights for panel regressions. But do you know about any references that may guide us to the correct modelling of population weights and give some more theoretical background? I was searching the panel books of Wooldridge (2010) and Matyas (2008). They are dealing with stratification issues which appears to be much more complicated than what I was looking for. 2) A fact that confuses me: Why do most authors not consider country weights in well-known cross country studies in the literature? Just because they tested for heteroskedasticity and found none? I searched a large economics journal database for cross country panel regressions, but the question of population weights seems not to be an issue. I am confused because I was thinking it is an important element of the model (even if empirically there seems to be homosked.) Any help/hints will be highly appreciated Arde * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/