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Lecture 10: Logistical Regression II— Multinomial Data

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Lecture 10: Logistical Regression II Multinomial DataProf. Sharyn O Halloran Sustainable Development U9611Econometrics IILogit vs. Probit Review Use with a dichotomous dependent variable Need a link function F(Y) going from the original Y to continuous Y Probit: F(Y) = -1(Y) Logit: F(Y) = log[Y/(1-Y)] Do the Regression and transform the findings back from Y to Y, interpreted as a probability Unlike linear Regression , the impact of an independent variable X depends on its value Andthe values of all other independent variablesClassical vs.

About Logistic Regression It uses a maximum likelihood estimation rather than the least squares estimation used in traditional multiple regression. The general form of the distribution is assumed. Starting values of the estimated parameters are used and the likelihood that the sample came

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