Binary Choice - Linear Probability and Logit Models

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  • Опубліковано 7 сер 2024

КОМЕНТАРІ • 45

  • @londontreece7828
    @londontreece7828 3 роки тому +9

    This was amazing! Best, and clearest explanation out of my 8 weeks in STATA class haha.

    • @PatObi
      @PatObi  3 роки тому

      Thank you

    • @shwetaagarwal6240
      @shwetaagarwal6240 3 роки тому

      This was simply amazing!! Can you pls share a probit model video as well?

  • @laughicious
    @laughicious 7 років тому +5

    Thank you so much Pat , you've helped with my exam revision , your explanation is straightforward and to the point

  • @khadijaakter1363
    @khadijaakter1363 5 років тому +2

    Thanks.Mr.pat for your excellent explanation about critical econometrics lecture.

  • @jonesstephenkaliwo9405
    @jonesstephenkaliwo9405 Рік тому

    Thank you Pat Obi. This is an amazing explanation

  • @nitinkumar7225
    @nitinkumar7225 6 років тому +1

    Thank you! It was easy to understand with your example.

  • @kunjaai
    @kunjaai 6 років тому +1

    Superb ..... Thanks for sharing the knowledge ..... Really you are a good teacher .... :)

  • @bilalsafi8827
    @bilalsafi8827 3 роки тому

    It was an amazing explanation in an easy way. Thank you

  • @ericgottlieb9988
    @ericgottlieb9988 7 років тому +1

    Great job showing why OLS does not really with with binary dependence

  • @cenuel3583
    @cenuel3583 5 місяців тому

    that’s the best explanation video i’ve seen so far :)

  • @mukailarafiu2718
    @mukailarafiu2718 2 роки тому

    your explanation is clairvoyant.

  • @policyandpolicymakers7357
    @policyandpolicymakers7357 2 роки тому

    Thank you so much, Professor, i enjoyed the lesson

  • @missmulti6705
    @missmulti6705 Рік тому

    Thank you so much, this video really helped me with my research project.

  • @isaacmasinga9882
    @isaacmasinga9882 Рік тому

    Thank you so much. Am so grateful

  • @Pickett1312
    @Pickett1312 Рік тому

    This was just brilliant!

  • @pipertripp
    @pipertripp 4 місяці тому

    nice presentation!

  • @ScholenEnt
    @ScholenEnt 5 місяців тому

    Great Job Sir. Please do one on Multinomial Logistic Regression

  • @imadjabir1678
    @imadjabir1678 2 роки тому

    Wonderful video. Thank you

  • @asayeendale9008
    @asayeendale9008 2 роки тому

    thank you this vidio more precise and clear from the other

  • @emadazhar2231
    @emadazhar2231 3 роки тому

    Thankyou Sir. Very nicely explained.

  • @BullseyeBY
    @BullseyeBY 28 днів тому

    You saved me, I have exams tomorrow and our Prof is shit

  • @JBL_bass_lover_
    @JBL_bass_lover_ 3 роки тому +1

    Thanks.. Very good explanation ,waiting more videos..

    • @PatObi
      @PatObi  3 роки тому

      You're welcome Arif

  • @mansikumari4954
    @mansikumari4954 3 роки тому +1

    Thanks Pat

  • @pawalucious89
    @pawalucious89 Рік тому

    Thank you for the good explanation. Is there a way we can make those predictions (after logit) using stata rather than using excel?

  • @erdogangursum.
    @erdogangursum. Рік тому

    Thanks so much

  • @workuassefa2685
    @workuassefa2685 2 роки тому

    To much helpful.

  • @joehan8355
    @joehan8355 3 роки тому +1

    Thank you very much. This video is very informative and easy to follow.

  • @NadiraBag
    @NadiraBag 7 років тому +2

    Thank you for sharing.
    theoretically, how would we choose between LPM and the logit model? Thank you

    • @PatObi
      @PatObi  7 років тому +2

      Nadira Bag .I apologize for my delayed response. You ask a good question! I think the LPM has the advantage of being simpler to implement and more intuitive. But this can't be all there is to it :)

    • @NadiraBag
      @NadiraBag 7 років тому

      Thank you for your reply , so much appreciated :)

  • @PavanKumar-ef1yy
    @PavanKumar-ef1yy 9 місяців тому

    thank you so much sir

  • @ericgottlieb9988
    @ericgottlieb9988 7 років тому +1

    You can use the logic model in excel if you manually alter the equation to best fit your data by minimizing the sum of squared differences between your prodiced probabiltiy from the modle and the actual binary y outputs. its a pain to do though.... haha

  • @hongruisun4648
    @hongruisun4648 7 років тому +1

    Nice

  • @OthmanTops-rf1uj
    @OthmanTops-rf1uj Місяць тому

    hey sorry…on the interpretation part is it a must we use 1% increase? and is it appropriate to use other word like 1unit??

  • @Dupamine
    @Dupamine 3 роки тому

    Is this the same as 'logit-linear models'?

  • @khadijaakter1363
    @khadijaakter1363 5 років тому

    Can you please share the probit model?

  • @RohitGupta-tj7sh
    @RohitGupta-tj7sh 6 років тому +2

    It is an wonderful explanation ..
    Can you please share the Dataset so we can do practice as well ?? Thank you in advance?

    • @PatObi
      @PatObi  3 роки тому +1

      Will post data

    • @pawalucious89
      @pawalucious89 Рік тому

      You can equally use the input command in stata to enter the data manually and follow what is being done. Or rather just type directly into stata spreadsheet

  • @yanyinchan94
    @yanyinchan94 3 роки тому +1

    I want to run a descriptive statistic before logit regression. Since I want to run logit regression, I changed my dependent variables to 0 and 1, thus when I run the descriptive, should I use the original data or 0 and 1?

    • @PatObi
      @PatObi  3 роки тому

      Use original data for descriptive stats.

    • @yanyinchan94
      @yanyinchan94 3 роки тому

      @@PatObi tq so much

  • @ameygooni3392
    @ameygooni3392 8 місяців тому

    Good🙏