GOVT 6049 - [Categorical and Count Data]

Fall (weeks 1-7). Next Offered: 2019-2020. 2 credits. Student option grading.

Prerequisite: GOVT 6019 and GOVT 6029, or permission of the instructor.

B. Corrigan.

This course continues the path of 6019 and 6029 in offering a hybrid of applied social statistics and econometric modeling for graduate students, with a focus on the analysis of categorical and count data as dependent variables. These forms of data are now extremely common in the social sciences. In the first three weeks we attain mastery of some of the more intricate Stata and R post-estimation procedures. These are essential for interpreting typical models of categories and counts, since in the typical application, effects on the mean of the dependent variable are not constant but vary with settings of the explanatory variables. We then proceed to the key application, the analysis of non-continuous dependent variables. Each student will be required to actively participate in a group presentation of the nuts and bolts of a data analysis using this kind of data, either assigned by the instructor or based off peer research. Students with active quantitative research projects are encouraged to join the course for an opportunity to hone the analysis, and to receive feedback from peers and the instructor.

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