Entropy for the PSM

[ALKEBSEE RADWAN]

Hope you all are fine.

I have a question regarding the matching process. I mean how to read the numbers of the balancing outcomes?
Here are the outcomes as a sample

Before: without weighting

   	 		 			  			Treat 			Control 			  		 		 			  			mean 			variance 			skewness 			mean 			variance 			skewness 		 		 			Bsize 			    8.626 			    3.168 			    1.064 			    8.490 			    2.848 			    0.871 		 		 			BINDP 			    3.197 			    0.389 			    1.935 			    3.146 			    0.326 			    1.780 		 		 			meeting 			   10.100 			   15.490 			    1.048 			    9.927 			   14.970 			    1.088 		 		 			execOwner 			   15.050 			   10.020 			   -0.615 			   15.510 			    8.810 			   -0.905 		 		 			size 			   22.460 			    1.991 			    1.342 			   22.140 			    1.907 			1.2 		 		 			  			  			  			  			  			  			  			  			  			  		 	   
 
After:  _webal as the weighting variable

   	 		 			  			Treat 			Control 			  		 		 			  			mean 			variance 			skewness 			mean 			variance 			skewness 		 		 			Bsize 			    8.626 			    3.168 			    1.064 			    8.625 			    3.217 			    1.080 		 		 			BINDP 			    3.197 			    0.389 			    1.935 			    3.197 			    0.389 			    1.820 		 		 			meeting 			   10.100 			   15.490 			    1.048 			   10.100 			   16.250 			    1.050 		 		 			execOwner 			   15.050 			   10.020 			   -0.615 			   15.050 			   10.350 			   -0.690 		 		 			size 			   22.460 			    1.991 			    1.342 			   22.460 			    2.425 			    1.206 		 		 			  			  			  			  			  			  			  			  			  			  		 	   

Can I argue that my dataset is balanced or not?

Using the PSM it is clear to claim that all covariates are successfully matched. but with entropy I found it a bit confusing.

So, please could anyone give me a standard to calibrate these outcomes at any time
thank you in advance