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ECON 245L - Nonparametric Econometrics

Description
An introduction to nonparametric econometrics. The goal is to learn how to estimate parameters of interest by "letting the data speak", that is, imposing as few modeling assumptions as possible. The course starts with simple density and distribution function estimators, and then moves on to methods for nonparametric and semiparametric regression such as kernel regression, local polynomials and series estimators.
Credits
2
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Recent Semesters
Fall 2021, Fall 2020, Winter 2020
Offered
MW
Avg. Class Size
18
Avg. Sections
1