Binary Choice - Linear Probability and Logit Models

[@londontreece7828]

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

[@PatObi]

Thank you

[@shwetaagarwal6240]

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

[@laughicious]

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

[@khadijaakter1363]

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

[@nitinkumar7225]

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

[@jonesstephenkaliwo9405]

Thank you Pat Obi. This is an amazing explanation

[@bilalsafi8827]

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

[@mukailarafiu2718]

your explanation is clairvoyant.

[@cenuel3583]

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

[@ericgottlieb9988]

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

[@policyandpolicymakers7357]

Thank you so much, Professor, i enjoyed the lesson

[@Pickett1312]

This was just brilliant!

[@missmulti6705]

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

[@kunjaai]

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

[@isaacmasinga9882]

Thank you so much. Am so grateful

[@asayeendale9008]

thank you this vidio more precise and clear from the other

[@pipertripp]

nice presentation!

[@imadjabir1678]

Wonderful video. Thank you

[@pawalucious89]

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

[@emadazhar2231]

Thankyou Sir. Very nicely explained.

[@OthmanTops-rf1uj]

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

[@ScholenEnt]

Great Job Sir. Please do one on Multinomial Logistic Regression

[@mansikumari4954]

Thanks Pat

[@Dupamine]

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

[@BullseyeBY]

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

[@erdogangursum.]

Thanks so much

[@workuassefa2685]

To much helpful.

[@JBL_bass_lover_]

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

[@PatObi]

You're welcome Arif

[@NadiraBag]

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

[@PatObi]

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]

Thank you for your reply , so much appreciated :)

[@joehan8355]

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

[@PavanKumar-ef1yy]

thank you so much sir

[@khadijaakter1363]

Can you please share the probit model?

[@yanyinchan94]

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]

Use original data for descriptive stats.

[@yanyinchan94]

@@PatObi tq so much

[@ericgottlieb9988]

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]

Nice

[@RohitGupta-tj7sh]

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

[@PatObi]

Will post data

[@pawalucious89]

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

[@ameygooni3392]

Good🙏