Models for Categorical Outcomes Using Stata: Specification, Estimation, and Interpretation
J. Scott Long, Indiana University
This workshop deals with the most important regression models for binary, ordinal, nominal and count outcomes. While advances in software make it simple to estimate these models, the effective interpretation of these nonlinear models is a vexingly difficult art that requires time, practice, and a firm grounding in the goals of your analysis and the characteristics of your model. The workshop begins by discussing the general objectives for interpreting results from any regression model and considers why these objectives are more difficult in nonlinear models. Concepts of estimation, testing, and identification are introduced in a quick review of the linear regression model. These ideas are used to develop the binary logit and probit models. Advanced methods of interpretation are introduced using Stata's margins command, with detailed examples on how to compute and interpreting average marginal effects, the distribution of effects, and related methods. Concepts from the binary model are used to develop the multinomial logit model for nominal outcomes, followed by the development of several models for ordinal outcomes. Finally, models for count data, including Poisson regression, negative binomial regression, and zero modified models are presented.
Prerequisites: Participants must be thoroughly familiar with linear regression. While familiarity with Stata is recommended, the labs provide step by step instructions for those new to Stata.
This workshop is offered in collaboration with the Inter-University Consortium for Political and Social Research (ICPSR) at the University of Michigan.
ICPSR Members = $1500
Non-members = $3000
PLEASE NOTE: All UMass Faculty, Staff & Students qualify for the ICPSR Member Rate. To find out if your organization is a member of ICPSR Click Here.
- Navigate to the ICPSR online portal. You will be asked to log in to your ICPSR MyData account. If you do not have an existing MyData account, you will be prompted to create one.
- PERSONAL INFORMATION will need to be added into a registration form.
- CLASS SELECTION: Select UMass course
s by going to the 3-5 day section at the bottom of the course listing and clicking the appropriate box.
- FEES AND PAYMENTS: Make payment arrangements. You can either pay yourself or have an appropriate administrator (e.g., the Graduate Studies Director in an academic department) make arrangements to do so on your behalf.