Skip to main

Kevin McIntyre, Ph.D.

A witty and dynamic economics professor who aims to make his courses memorable.

Dynamic | Witty | Invested
Kevin McIntyre is known as an enthusiastic teacher and is described as quite the character. He believes in forming witty and dynamic relationships with students that make his courses fun to remember. McIntyre teaches almost everything in McDaniel’s economics and statistics offerings from introductory and first-year seminars to upper-level economics and graduate courses in Data Analytics.
What’s your background? Where were you before McDaniel and when did you start here?
I grew up in a small town in southern Minnesota and attended Grinnell College, a small private liberal arts institution in Iowa. I came to the east coast for graduate school at the University of Virginia and have been lurking around the mid-Atlantic region ever since. After graduate school, I worked for a few years at a consulting firm in the Philadelphia area. I learned a lot there – most importantly that I am supposed to be a professor at a liberal arts college. I arrived at McDaniel College as a 28-year-old, fresh-faced assistant professor in 2000.
What have you enjoyed most during your time at McDaniel?
It has been the relationships I’ve developed with students, especially the more outspoken ones. I’m a firm believer in the notion that the optimal amount of time goofing around before and during class is not zero, and I am continually energized by interacting with students in this way.
What do you hope students take away from your courses?
They have to know that the Law of Demand is never, ever violated. Beyond that, two things: first, to always think in terms of incentives, costs, and benefits, in other words, to know how to think things through like an economist. Second, always, always, always question conventional wisdom.

About Prof. McIntyre

Professor and Ethan A. Seidel Chair of Economics and Business Administration, coordinator of the master’s program in Data Analytics
Subject: Economics and Data Analytics (M.S.)
Department: Economics and Business Administration