Fall for 2017-2018
Bronson, Mary Ann
This course covers the basic linear regression model but also looks beyond it. Many economic data-sets do not satisfy the strong requirements for the linear regression model.Examples include labor force participation decisions, consumer choice between different brands of a product, and household income and consumption surveys stretching over several years (panel data). In this course more advanced statistical models are covered that are needed to analyze these types of data. Topics include discrete choice models (logit and probit), count data models, censored and truncated regression models, panel data models, and instrumental variables methods. The emphasis of the course is on understanding the need for the various methods, being able to apply them to data, and interpreting the results.
For M.A. in Applied Economics and M.S. in Economics students.
Other academic years
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