Dummy Variable analysis and Application of Difference-inDifference for impact evaluation Part - 3

[@tusharkhatri5795]

great explaination. Thanks a lot!!

[@JEETSINGH-dk3ej]

Great sir😊😊

[@kshitijgupta9058]

great explantion!

[@rupkumarpaul7170]

দারুন

[@aleenagandhi6110]

What is explanation of beta4?

[@ruchiyadav1334]

Thanx sir

[@shradhaagarwalla2220]

Thank you sir 🙏

[@SmrutiDev]

sir, if we take male as benchmark category (Di=1 if female, 0 otherwise) , then wii the interpretation change, i.e. for every level of education wage rate for female is more then their male counterparts??? how the model internalise if the males are getiing actually higher wage after adding level of education???

[@abhimanyusahoo2175]

Hi Smruti Since the data are same and values corresponding to male and female are same, the final results will be same and followed by the interpretation as well. You should try to understand the interpretation for base, dummies, interactions, etc..