The context Lecture 12 There are many contexts in which a variable is ordinal that have three or more Ordinal Logistic Some typical examples are health status Regression bad, very bad), olitical ic (very liberal, slightly slightly conservative, e), fertility intention(the more the better, two, one, no) This lecture briefly introduce ordinal logistic regression In these examples, the distance between gories is not equal The context and data type continuous. In this case, just use OLS The ordinal logistic regression equation egression. Certainly, this is widely done, Fitting an ordinal logistic regression particularly when the dependent variable will often result in biased estimates of the An illustrative example of fertility analysis using Stata1 1 Lecture 12 Ordinal Logistic Regression 2 This lecture briefly introduce ordinal logistic regression • The context and data type • The ordinal logistic regression equation • Fitting an ordinal logistic regression • Results and interpretation • An illustrative example of fertility analysis using Stata 2 3 The context • There are many contexts in which a variable is ordinal that have three or more categories • Some typical examples are health status (very good, good, so-so, bad, very bad), political ideology (very liberal, slightly liberal, moderate, slightly conservative, very conservative), fertility intention (the more the better, two, one, no) 4 • In these examples, the distance between categories is not equal. • Treat the variable as though it were continuous. In this case, just use OLS regression. Certainly, this is widely done, particularly when the dependent variable has 5 or more categories. However, this will often result in biased estimates of the regression parameters