Award-Winning Microeconomics Tutors
serving Eugene, OR

I am a graduate of Luther College, a liberal arts school in Decorah, IA. I received my Bachelor of Arts in Mathematics and Religion, with a minor in Social Welfare. Throughout college, I tutored many students in high school and college level math. I loved the process of helping people through math problems, so after graduating I served in the MN Math Corps as a Math Enrichment Tutor, where I learned research based teaching methods to tutor middle school students who were below proficiency in math. Currently, I am certified to tutor a broad range of math subjects ranging from elementary math to pre-calculus, as well as ACT Math and GRE Math/Verbal test prep. Through my experience, I've found that the best method of tutoring is to tailor it to each student's learning style (every concept can be taught/understood in multiple ways), and make sure the student actually understands what he/she is doing versus just learning equations and methods to complete assignments. I am very passionate about tutoring math as I love empowering people, and I believe mathematics is a vital subject to learn and understand. In addition to tutoring, I have worked as a data analyst for a market research firm near Chicago. In my free time, I enjoy keeping up on current events, reading (I love Harry Potter and Hunger Games!), Ultimate Frisbee, playing guitar and piano, and learning economics.

Supply and demand curves are just the starting point — the real challenge in microeconomics is applying them to consumer theory, production costs, and market structures like oligopoly and monopolistic competition. Ezra's economics degree gives him deep fluency with these models, and his finance background means he can connect textbook graphs to actual pricing and strategy decisions students find intuitive.

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.

Elasticity, market structures, and consumer theory can feel abstract until someone walks you through the logic behind each graph. Noah breaks down microeconomic models step by step, connecting concepts like marginal cost curves and deadweight loss to concrete examples so the intuition clicks before the exam.

From elasticity calculations to the subtleties of monopolistic competition, microeconomics demands comfort with both graphical reasoning and mathematical precision. Olivia's dual background — a BA in math and economics from Vanderbilt plus doctoral-level training at UNC Chapel Hill — lets her walk through utility maximization and cost curve analysis with genuine fluency rather than surface-level definitions.

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.

Andrew's Labor and Industrial Relations degree at Cornell covers significant microeconomic ground — labor markets, wage determination, firm behavior under different bargaining structures — giving him a practical lens on concepts like supply and demand, market power, and efficiency. He teaches students to think through how incentives shape decisions at the individual and firm level, grounding abstract models in the kind of real-world labor and industry examples that make the logic click. Rated 4.9 by students.

Elasticity, marginal utility, and market structures like oligopoly and monopolistic competition each require a different way of thinking — and Grant's economics degree gave him deep fluency with all of them. He breaks down consumer and producer theory using concrete examples, making the graphs and equations feel like tools rather than obstacles.

The jump from basic supply-and-demand to consumer theory, production functions, and market structures trips up a lot of students because the math and the intuition have to work together. Eric unpacks each model — indifference curves, marginal cost pricing, game theory matrices — by tying the algebra back to the economic story it tells. His Business Administration training gives him a practical lens on how firms actually make these decisions.

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, 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.

Elasticity, marginal cost curves, market structures, welfare analysis — microeconomics is built on deceptively simple ideas that get complicated fast. Stephen's PhD research at Rice and his current teaching at Fordham keep him immersed in exactly these concepts, and his market research career means he can show students how firms actually use pricing strategy and cost analysis outside the classroom.

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.