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Livestream Seminar

Quantile Regression

A 3-Day Livestream Seminar Taught by

Lingxin Hao
Course Dates: Ask about upcoming dates
Schedule: All sessions are held live via Zoom.

10:00am-2:00pm ET (New York time): Live lecture via Zoom
4:00pm-5:00pm ET: Live lab session via Zoom (Thursday and Friday only)

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 March 24, we are offering this seminar as a 3-day synchronous*, livestream workshop for the first time. Each day will consist of a 4-hour live lecture held via the free video-conferencing software Zoom. 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.

Each day will include a hands-on exercise to be completed on your own after the lecture session is over. An additional lab session will be held Thursday and Friday afternoons, where you can review the exercise results with the instructor and ask any questions.

*We understand that scheduling is difficult during this unpredictable time. 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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Computing

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