Award-Winning Microeconomics Tutors
serving Madison, WI

I am studying Economics and Business with a Spanish minor at Vanderbilt University in Nashville, Tennessee. My favorite subjects to tutor are Math and Spanish for elementary and middle school students. I look forward to working with you!

The math behind microeconomics — setting up Lagrangians for constrained optimization, deriving demand from utility functions, finding equilibrium prices algebraically — is where most students hit a wall. Thomas's math and stats training at Carleton means he can teach both the economic intuition and the calculus simultaneously, so a concept like profit maximization isn't just "set MC equal to MR" but a problem a student can actually solve and interpret. Rated 5.0 by students.

Elasticity, consumer surplus, and game theory matrices all click faster when a student understands the intuition behind the math. Ian unpacks microeconomic models by first asking what problem each one solves — why firms price-discriminate, how externalities create market failure — and then shows how the graphs and equations formalize that logic. His economics background means the explanations go well beyond textbook definitions.

Supply and demand curves are just the beginning — microeconomics gets interesting when students tackle elasticity, market structures, and game theory. Josh's actuarial science and business background means he can ground abstract models like consumer surplus and producer behavior in real market data. He connects the math behind optimization problems to the economic intuition that makes them click.

Marginal analysis, consumer and producer surplus, and the logic behind different market structures all require careful, step-by-step reasoning. Brendan's engineering background means he's comfortable dissecting these models mathematically and visually, turning intimidating graphs into clear stories about how firms and consumers actually make decisions.

I am currently studying at Northwestern University, on the track to a Bachelor of Arts in Statistics with a double major in Mathematical Methods in the Social Sciences, which is just a fancy way of saying math-based economics, and a minor in Legal Studies as well as Marketing. After my undergraduate studies, I plan on working in consulting for a few years before attending law school. Finally, I hope to combine my law studies with my consulting work to become a well-rounded corporate lawyer. At Northwestern, I provide SAT tutoring to Chicago-area juniors and seniors. In high school, I tutored third through fifth graders in basic reading and writing skills and developed their interpersonal skills through group crafts and teamwork activities. While I am open to tutoring a broad range of subjects and tests, I am most passionate about Math, Statistics, Economics, and US History. In my experience helping students prepare for the SAT, I have found that interactive activities and group work really help! I am a firm believer in the work-hard-play-hard mindset and find it to be absolutely necessary for a balanced lifestyle, and I try to impart this appreciation to all of my students. While I encourage my students to keep up with their studies and work hard, I also believe that studying needs to be balanced out with interests and fun.

I am a graduate of Tufts University, with majors in economics and international relations, and will be attending Duke Law School in the fall. I have experience tutoring a variety of ACT and AP subjects, as well as working with students on reading comprehension and writing skills. Whether you need to cram for an upcoming test or want to improve your general academic abilities, I'm here to help!

David's sociology research at Columbia and Chicago trained him to model how individuals make decisions under constraints — which is exactly what microeconomics formalizes with utility functions, budget lines, and optimization problems. His computer science background adds fluency with the quantitative side, from setting up cost minimization equations to interpreting the slopes of indifference curves. Rated 4.9 by students.

Elasticity, market structures, consumer surplus — microeconomics is full of concepts that seem straightforward on the surface but get tricky the moment you apply them to problem sets. Jack's Northwestern economics training means he can walk through the math behind each model while keeping the bigger economic intuition in focus. He holds a 5.0 rating from students.

The jump from understanding supply and demand to tackling consumer surplus, deadweight loss, and game theory is where most microeconomics students struggle. Neil breaks these concepts down using the same analytical framework he relied on as an investment analyst — evaluating trade-offs, marginal costs, and strategic behavior in real markets. His 5.0 rating speaks to how well that approach translates to the classroom.

The jump from supply-and-demand basics to producer theory and game theory is where most micro students struggle. Shih digs into the math behind indifference curves, cost minimization, and Nash equilibria, drawing on his finance coursework at UGA to show how these models map onto real firm decisions and market structures like oligopoly and monopolistic competition.

Reading The Economist for fun is one thing — Mark actually digs into the microeconomic logic underneath the headlines, connecting how firms price goods or respond to regulation back to the models students see in class. His bioengineering grad work is heavily quantitative, so he's comfortable walking through the calculus behind profit maximization or cost minimization problems that trip up students in intermediate micro.

Consumer choice theory, production functions, and market structures like oligopoly all require students to think in graphs and marginal terms simultaneously. Idara's engineering management training at Stanford built exactly that kind of analytical fluency, and her finance career keeps her sharp on how firms actually make the pricing and output decisions microeconomics describes.

Marginal cost curves and consumer surplus diagrams start making sense once someone explains the decision-making logic underneath them. Jay approaches microeconomics from his background as an econ major, unpacking topics like market failures, production functions, and elasticity by first asking what a rational actor would actually do in a given scenario — then showing how the math and graphs formalize that reasoning.

Kyle's statistics degree means he's fluent in the quantitative reasoning that underpins microeconomic analysis — interpreting slopes on cost curves, thinking through marginal changes, and modeling how rational agents optimize under constraints. He brings that statistical intuition to topics like elasticity and market efficiency, where students often struggle to connect the math to what's actually happening in a market. Rated 4.9 by students.

Elasticity is where most microeconomics students first feel lost — the formulas seem straightforward, but applying them to tax incidence or consumer surplus problems requires real conceptual understanding. Mustafa tackles these topics by working through progressively harder problems and explaining the economic intuition at each step. Four years of tutoring have given him a sharp sense of where students get stuck between "I memorized it" and "I actually get it."

Because Bailey studied economics at Duke — where the curriculum leans heavily on formal microeconomic modeling — she's worked through the full sequence: consumer and producer theory, elasticity, market structures, and the welfare analysis that ties them together. Her 3.94 GPA in that program signals she actually retained the mechanics, from setting up Lagrangians for constrained optimization to interpreting what happens graphically when a tax wedge enters a competitive market.

Most microeconomics courses lose students somewhere between indifference curves and game theory — the math feels disconnected from any decision a real person would make. Noel's public policy background lets him anchor every model in actual scenarios: why firms price-discriminate, how externalities justify a carbon tax, what happens to surplus when a city caps rent. That grounding turns problem sets from rote calculation into genuine analysis.

Consumer optimization, cost curves, and market structure problems all follow a logic that becomes predictable once you see the underlying math clearly. Marshall approaches microeconomics by walking through the calculus and graphical reasoning together, so students understand not just where the profit-maximizing quantity lands but why. His Northwestern economics training keeps the explanations rigorous without making them inaccessible.