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

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  • Опубликовано: 16 сен 2024

Комментарии • 9

  • @tusharkhatri5795
    @tusharkhatri5795 6 месяцев назад

    great explaination. Thanks a lot!!

  • @JEETSINGH-dk3ej
    @JEETSINGH-dk3ej Год назад

    Great sir😊😊

  • @ruchiyadav1334
    @ruchiyadav1334 2 года назад +1

    Thanx sir

  • @kshitijgupta9058
    @kshitijgupta9058 2 года назад

    great explantion!

  • @rupkumarpaul7170
    @rupkumarpaul7170 2 года назад

    দারুন

  • @shradhaagarwalla2220
    @shradhaagarwalla2220 2 года назад

    Thank you sir 🙏

  • @aleenagandhi6110
    @aleenagandhi6110 25 дней назад

    What is explanation of beta4?

  • @SmrutiDev
    @SmrutiDev 9 месяцев назад +1

    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
      @abhimanyusahoo2175 5 месяцев назад +1

      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..