Econometrics - Binary Dependent Variables (Probit, Logit, and Linear Probability Models)

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This video covers how you can run a regression model when you have a binary (a.k.a. dummy a.k.a. indicator) dependent variable. I go through the pros and cons of linear probability models, probit, and logit.
  1. Econometrics, Causality, and Coding with Dr. HK
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Комментарии
Автор

Thank you, no one explained it so clearly, step by step, the previous step making it easier to understand the next step. Really got the Understanding of what is going on and not simply learned the formulas

mykhailozadorozhnyi
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For someone who has basic knowledge in economics, you made it really easy to understand! Thank you so much :)

andreaong
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This was a really phenomenal video, great job!

_Anonymous_
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Really useful! Thanky you so much Nick

verasilva
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Hi Nick,
First of all thank you for these great courses. if you had to recommend one great statistics textbook, which one would you recommend ?

lamaramouffok
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Thank you for the explanation. So for the Logit, the 0.53 is in the index. As its a curve between 0-1. The change of one unit of x will vary with 4 units of x. How would one calculate that?

emptyxnes
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could you please share the slides as well?

ishanrai