Cross Sectional Econometrics (3) Discrete choice models, censored and truncated regression models, longitudinal models, applications.
ECON 465W Cross Sectional Econometrics (3)
This course extends the econometric analysis of Introduction to Econometrics (ECON 490) to consider three broad categories of models: discrete choice models, censored and truncated regression models, and longitudinal models. Approximately three-quarters of the course will consist of examination of models in these three areas and the issues that those models address. The last four weeks of the course will then focus on applications of these models.
Discrete choice models are used for the analysis of decisions by economic agents facing a fixed number of choices (whether to work or not, which are to buy, etc.). Students will learn how economists model such decision problems and how they can be analyzed empirically.
Censored and truncated regression models can arise for multiple reasons, e.g., because economic agents are generally constrained to consume a nonnegative amount of a given product, which introduces nonlinearities into the relationship of interest. Students will learn how economists model such problems and how they can be analyzed empirically.
Longitudinal models are, e.g., used to analyze durations of (un) employment spells. Students will learn how to analyze such data sets empirically.
Overall, then, students will learn advanced econometric techniques for dealing with discrete choice models, censored and truncated regression models, and longitudinal models. The skills to be developed consist in being able to apply these techniques in practical applications of data analysis.
This course is one of a series of 400-level seminars, many of them writing-intensive, for our advanced students in each of seven broad areas of economics. This writing-intensive seminar is in the area of econometrics. The course will count toward both the major and the minor in economics.
Note : Class size, frequency of offering, and evaluation methods will vary by location and instructor. For these details check the specific course syllabus.