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Economics Courses

Applied Econometrics

Economics 5161 - Fall 2020

Introduction to econometrics as it is applied in microeconomics and macroeconomics (modular). Topics related to the analysis of microeconomic data include maximum likelihood estimation and hypothesis testing; cross-section and panel data linear models and robust inference; models for discrete choice; truncation, censoring and sample selection models; and models for event counts and duration data. Topics related to the analysis of macroeconomic data include basic linear and nonlinear time series models; practical issues with likelihood-based inference; forecasting; structural identification based on timing restrictions and heteroskedasticity; and computational methods for hypothesis testing and model comparison. Prerequisite: Graduate student standing or permission of the instructor.
Course Attributes:

Section 01

Applied Econometrics
INSTRUCTOR: Ploberger
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Section A

Applied Econometrics
INSTRUCTOR: Ploberger
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