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Quantile Regression - Online Course

A 3-Day Livestream Seminar Taught by

Lingxin Hao
Course Dates:

Thursday, January 12 –
Saturday, January 14, 2023

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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In linear regression, we model the conditional mean of a dependent variable as a function of a set of predictors. In some cases, that’s all we need. But there’s actually a whole conditional distribution of the dependent variable that we ignore at our peril.

Quantile regression (QR) gives us a way to get much more information about those conditional distributions and how they depend on the predictors. Instead of just the mean, we can look at how predictors affect the median, the 75th percentile, the 25th percentile, or any other percentiles that we want.

That’s especially important for research on inequality. Examples include economic inequality in wages, income, and wealth; educational inequality in academic achievement; and health inequality in obesity and life expectancy.

QR models are easily fit by minimizing a generalized measure of distance. QR provides estimates of differential coefficients at various positions of the conditional distribution of the dependent variable. Commands and packages for estimating QR are readily available in most well-known statistical platforms, including Stata, SAS, SPSS, and R.

Starting January 12, 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.

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“Very practical and application oriented."

Very practical and application oriented. I also thought it was great that the instructor provided all Stata commands for not only models but also for graphs. It will help me adopt QR for my own projects. 

Jiwook Jung

University of Illinois at Urbana-Champaign