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st: Pstest


From   Isobel Williams <[email protected]>
To   "[email protected]" <[email protected]>
Subject   st: Pstest
Date   Sun, 2 Mar 2014 10:35:04 +0000

Dear All,

I am performing  -pstest- on my propensity-score logit model (estimated with -psmatch2-), and I am having a lot of trouble interpreting the results. 

Is the t-test or the reduction in bias (after matching) a better means of evaluating my model?

Does the t-test only refer to whether or not the two groups differ after matching? What is the null hypothesis of the t-test?

I have one value of bias reduction for -2696.0, what does that mean?

Is the bias reduction more important than the matched-bias? What is an acceptable level of bias?

Some matched bias levels are above 10%, and some t-tests are at 0.0000- does this mean I should take these variables out, or completely change the model?

For -psmatch2-, I am using a logit model with a caliper of 0.2 based on common support. 

Any advice/suggestions would be very helpful!

Isobel 		 	   		  
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