10. LogitProbitLinear Prob.Model - PowerPoint PPT Presentation
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10. LogitProbitLinear Prob.Model
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10. Logit/Probit/Linear Prob.Model. Dealing with dichotomous dependent variables. p(Y=1) = y ... (1 eXB) Probit: f(XB) = Pr(Z XB); Z~N(0,1) Probit. All Together, ... – PowerPoint PPT presentation
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Title: 10. LogitProbitLinear Prob.Model
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10. Logit/Probit/Linear Prob.Model
- Dealing with dichotomous dependent variables
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- p(Y1) y
- or
- p(D-Winner1) D-Winner
- y f(b0 b1X1 )
- or
- D-Winner f(b0 b1demvote )
- Shorthand b0 b1demvote XB
- What is f(XB)?
- Linear f(XB) XB
- Logistic f(XB) eXB/(1eXB)
- Probit f(XB) Pr(ZltXB) ZN(0,1)
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Probit
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All Together, Now!
