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35 bytes removed ,  21:57, 4 June 2011
Note that the same county can be in multiple pairs, and therefore is in the sample multiple times. This creates the need for multidimensional clustering as developed by Cameron et al, 2006. Standard errors are clustered for both within-state over time correlations of county residuals, as well as within borer-segment. Discussion of these in first paragraph of Section 5 on page 22.
<b>COMMENTARY ABOUT EQUATION 11 ON PG 22</b>:  * Why are the two <math>D</math> dummy variables summed?
The author goes on to state that <math>\beta</math> is supposed to represent the effect of an additional poll tax or literacy test within a state. He also notes that the laws are highly collinear -- ie, they tend to co-exist together -- and there is little information in the independent dummies.
The author does note that in an earlier version of the paper he estimated the effects of poll taxes and literacy tests separately and reached similar qualitative conclusions with slightly smaller standard errors.
 
* Why is there no time trend?
===What do the tests achieve?===
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