Hi,

I am doing an analysis on the effect of disasters on income and am using tax data, which I can only access through a virtual desktop, hence I cannot share an extract/example dataset. I am employing standard difference in difference with pooled, propensity score matching and entropy balancing. With propensity score matching I am using nearest neighbour, so there is no problem. However with ebalance my control group has one third observations as my treatment group and the weights are all above 1. Is there a function/addition with which I can force ebalance to only assign weights under 1?

Thank you very much.
Merve