

2Level Seemingly Unrelated Regression 

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I'm trying to run two 2level regressions while accounting for correlated errors between the regressions (i.e., a seemingly unrelated regression). The two regressions have different DVs and a mix of the same and different IVs. Following a previous post on a related topic (http://www.statmodel.com/discussion/messages/11/2964.html?1205362039), I've adapted your standard 2level model as follows: VARIABLE: NAMES = y1 y2 x1 x2 x3 w clus; WITHIN = x1 x2 x3; BETWEEN = w; CLUSTER = clus; DEFINE: CENTER x1 x2 x3 (GRANDMEAN); ANALYSIS: TYPE = TWOLEVEL; MODEL: %WITHIN% y1 ON x1 x3; y2 ON x2 x3; %BETWEEN% y1 ON w; y2 ON w; OUTPUT: STANDARDIZED; Now my question is: Does this model account for correlated standard errors between the two regressions and if yes, how? Thanks in advance for your help! 


Check if the parameters y1 WITH y2 are estimated as the default. If not add them to your model. 


Thanks so much, Linda, for your fast reply. If I understand you correctly, then, the inclusion of "y1 WITH y2" into the %WITHIN% portion of the above model would account for correlated standard errors between the two regressions, correct? 


The correlated residuals not standard errors. 


Makes sense, thanks so much for your help! 

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