Explanation of matching variance

Hi all,

I know I am a bit late for this post. But, I am having problem in understanding how the variance is computed for the matching estimator. In the bias correction section Scott writes out the formula here

Can anyone tell me what the last term (the hat var()) mean? It seems like the variance of some error term. But, I can’t figure out what exactly is it.

Any help appreciated.