Award-Winning Microeconomics Tutors
serving Flint, MI

From elasticity calculations to the nuances of monopolistic competition, microeconomics requires students to think graphically and verbally at the same time. David breaks down each market structure by walking through the firm's decision-making process step by step — where marginal cost meets marginal revenue, why profits shrink in the long run, and what happens when assumptions change. His entrepreneurship background means these aren't hypothetical firms to him.

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.

Being inside Michigan Ross's BBA program means Kerry encounters microeconomic thinking in nearly every class — how firms decide what to produce, why pricing strategies differ across market structures, and what drives consumer decision-making under scarcity. That daily immersion in business case analysis gives her a way of teaching concepts like elasticity and profit maximization that's grounded in how companies actually behave, not just how curves shift on a whiteboard.

Triple-majoring in economics, mathematics, and philosophy means Thomas didn't just memorize supply-and-demand diagrams — he learned the calculus that drives optimization models and the logical reasoning that holds economic arguments together. That combination is especially useful for breaking down problems like consumer surplus calculations or figuring out why a monopolist's marginal revenue curve sits below the demand curve. Holds a 5.0 rating.

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I am a student at the University of Michigan, Ann Arbor majoring in economics. My main tutoring subjects are microeconomics, macroeconomics, and math from algebra to calculus, but I am also able to work with students on a broad range of fundamentals. In high school I volunteered as a math and Spanish tutor, helping students with homework and exam study and assisting teachers with making lesson materials; during summer, I volunteered as a Junior Counselor at summer camp, guiding elementary-age children through science and art activities and engaging them through play. In college, I have continued to work as a math and economics tutor for minority students. There is nothing more rewarding for both student and tutor than to see the smile on a little kid's face as they dream about building rockets, or the satisfaction a high schooler feels as they grasp calculus formulas. Years of service have proven to me that struggling students respond well to patient, structured guidance that focuses on grasping concepts and identifying patterns. Everyone deserves the chance to explore fields they thought were beyond their reach, broaden their passions, and experience the pride of achievement and improvement. As a tutor, I hope to offer all that and more to my students. When I'm not working, I enjoy self-studying the Scottish Gaelic language, singing traditional folk songs, and going on walks around my neighborhood.

Supply and demand curves are just the entry point — the real challenge in microeconomics is applying them to problems involving market structures, consumer choice, and externalities. Adi's economics training means he can walk through the intuition behind utility maximization or Nash equilibrium without losing students in the math, or without skipping it entirely.

Supply and demand curves are just the starting point — Conor digs into the trickier microeconomic territory like elasticity calculations, consumer and producer surplus, and game theory models where students tend to struggle. As an Economics major at Yale, he's actively working through these concepts at an advanced level and can break down how firms make pricing decisions in different market structures.

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.

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.

Mary's PhD in Chemistry from the University of Chicago means she spent years doing the kind of constrained optimization and quantitative modeling that microeconomics relies on — minimizing costs, maximizing outputs, interpreting how variables shift on a graph. She pairs that analytical rigor with MBA coursework that gave her direct exposure to firm behavior, pricing strategy, and market dynamics. It's a combination that lets her teach both the calculus behind profit maximization and the business logic that makes it meaningful.

Consumer choice theory, elasticity, and market structures each require students to think in graphs and equations while never losing sight of what the math actually represents. Matt earned his economics degree alongside two arts degrees, so he's practiced at translating between abstract models and plain-language explanations. He digs into the logic behind cost curves and Nash equilibria until students can solve problems and explain why the answer makes sense.

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.

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.

Running a startup means David lives microeconomic decision-making — pricing strategy, cost structures, how competitive dynamics actually play out when you're the one making the calls. His UChicago MBA and economics degree give him the formal modeling toolkit to back up that practical instinct, so he can teach concepts like price discrimination or game theory with concrete examples from real business operations.

An International Economics degree gives John a real-world framework for teaching microeconomic concepts like elasticity, market structures, and consumer choice theory — not just as textbook abstractions but as tools for analyzing actual markets. His legal training adds a practical edge when covering topics like externalities, regulation, and game theory, since he can walk through how these ideas play out in policy and case law.

Supply-and-demand diagrams are easy until you hit consumer and producer surplus, deadweight loss from price controls, or the math behind profit maximization in different market structures. Rohan digs into the logic behind each model so students can derive answers rather than memorize curve shifts. His economics degree means he connects introductory micro concepts to the bigger analytical framework they feed into.

Supply and demand curves are just the starting point — Clark digs into the trickier territory of elasticity, market structures, and consumer choice theory where most microeconomics students start to struggle. His MBA coursework in financial management means he can connect abstract models like marginal cost pricing to real business decisions, making the logic behind each graph click.