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Lecture 8 Binary Dependent Variable Models 

Richard Gallenstein
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3 дек 2020

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Комментарии : 10   
@josephndagijimana6610
@josephndagijimana6610 10 месяцев назад
This is great !
@benardkiplimo3508
@benardkiplimo3508 6 месяцев назад
Thank you for the great lecture Prof! It couldn't have come at a better time
@user-xv5lm8bl9e
@user-xv5lm8bl9e Год назад
Excellent lecture. Please can you share with the datasets?
@maurorap18
@maurorap18 3 года назад
Excellent lecture, thank you. It would be awesome that you share the data and your do file on this video as well.
@Ali.Solt1
@Ali.Solt1 9 месяцев назад
Great thanks
@michaelasare4987
@michaelasare4987 5 месяцев назад
Is the B1 the probability or the change in probability due to a one unit change in X.
@dagnachewgetnet9202
@dagnachewgetnet9202 8 месяцев назад
Thank you professor for your nice and detailed presentations! If we are using Probit model and there will be a hetroskedasticity , can we report the marginal effect coefficients or totally leave the model use only the results of LPM? Thank you!
@faijannabil9028
@faijannabil9028 13 дней назад
May I request you to cover endogenous switching regression model.
@iqbalmarri3192
@iqbalmarri3192 3 года назад
sir thank you very much. could you please share data and do files. sir please one lecture on multinomial logit/probit pleaseeeeeeeee
@pattiknuth4822
@pattiknuth4822 3 года назад
this is a 10 minute lecture cramed into one hour and forty-four minutes
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