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From | Shikha Sinha <shikha.sinha414@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Interaction model |
Date | Wed, 8 Feb 2012 13:45:26 -0800 |
Hi All, I want to examine if the effect of a program varies by gender, SES, and immigration status of the individuals. Income, the outcome, is a continuous variable. gender (male==1), SES (poor and rich==1) and immigration status (yes==1) all are dummies. I can examine the heterogeneous effect in the following different ways: (a) income= b1*program + b2*rich + b3*immi + b4*male + b4*program*rich +b5*program*male + b6*program*immi or estimate separate equations (b) income= b1*program + b2*rich + b3*immi + b4*male + b4*program*rich income= b1*program + b2*rich + b3*immi + b4*male +b5*program*male income= b1*program + b2*rich + b3*immi + b4*male + b6*program*immi I want to know which is the correct model (a) vs (b) to estimate the heterogeneous effect and what is the difference between the two. Thanks in advance for your help! Shikha * * 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/