Estimating and Interpreting Effects for Nonlinear and Nonparametric Models
1:30 pm – 5:30pm
After we fit a model our analysis does not stop. We want to use our results to construct counterfactual scenarios. We want to study the effects of changes in variables over the population or for a specific subpopulation. Answering such questions is more challenging for nonlinear models and in particular for models in which we make no assumptions about functional forms-nonparametric models.
In this course, we will illustrate how to answer these and other relevant empirical questions, for nonlinear cross-sectional and panel data models, and for nonparametric models. We do this within a unified framework using Stata.
The topics covered will be:
A brief introduction to Stata
Effects for continuous and discrete covariates
Continuous outcome models
Binary outcome models
Fractional response models
Nonparametric kernel regression
**All Short Courses will take place on Wednesday, August 29 at the APSA 2018 Annual Meeting in Boston, MA.**