Count Data Models in Stata

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  • เผยแพร่เมื่อ 4 ธ.ค. 2024

ความคิดเห็น • 6

  • @econometricsacademy
    @econometricsacademy  3 ปีที่แล้ว +1

    Clarification: the Poisson coefficient beta is the difference between the log expected counts beta=log(mu_(x+1))-log(mu_x). Reworking this expression the percent change in counts equals (mu_(x+1)-mu_x)/mu_x=exp(beta)-1. That's why at 4:18 and 6:02 in the video, I interpreted the coefficient approximately as a percent change in counts.

  • @leonardopetrusdasilvapaz5051
    @leonardopetrusdasilvapaz5051 7 ปีที่แล้ว

    Dear professor Ani Katchova excellent lecture!
    You present a didatic and objetive description of concepts and procedures. Congratullations!

  • @Hanakochan90
    @Hanakochan90 3 ปีที่แล้ว +1

    Thank you so much for your video. It is very helpful and informative. I followed your guidance and applied for my project.

  • @adamalhassan5273
    @adamalhassan5273 5 ปีที่แล้ว

    Great vids. Thank you so much!

  • @BDQUERY350
    @BDQUERY350 7 ปีที่แล้ว

    Thank you , your video help me so much!!