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Nonparametric and Semiparametric Statistics - Online Course

A 3-Day Livestream Seminar Taught by

Daniel J. Henderson
Course Dates: Ask about upcoming dates
Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:00am-12:30pm (convert to your local time)

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This seminar will introduce nonparametric and semiparametric regression for cross-sectional and longitudinal (panel) data models.

Nonparametric and semiparametric methods are useful whenever we aren’t certain what the correct functional form is for the relationship between two variables—which in many fields is most of the time. Misspecifying the functional form can lead to inconsistent estimates as well as incorrect policy prescriptions. For example, estimating a curvilinear relationship as linear would give the mistaken impression that an effect is constant, when in reality the magnitude (and possibly the direction) of the effect differs across units. Using nonparametric and semiparametric methods can help detect and correct such problems.

We will focus both on developing intuitions about nonparametric regression and on how to program and apply these methods in practice. We will pay particular attention to how to present the results from nonparametric regressions, as this is quite different from the standard linear regression models that many researchers are familiar with.

Starting April 10, we are offering this seminar as a 3-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously.

Closed captioning is available for all live and recorded sessions. Live captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.

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"I take quite a few online courses, and this is one of the few that I see as being immediately beneficial to my research.” 

“I enjoyed the in-depth coverage of the topics, the very knowledgeable instructor who works at the cutting edge of the field, and the way Professor Henderson combined statistical theory and software applications. I was impressed with how he went through the R code to show students how the models operated. I find “working under the hood” to be an excellent way to learn. I take quite a few online courses, and this is one of the few that I see as being immediately beneficial to my research.” 

John Hoffmann

Brigham Young University

“I liked that this course went into actual programming..."

“I liked that this course went into actual programming and I left with good intuitions.” 

John Antel