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Microeconomics
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Consumer choice theory, production functions, market structures — microeconomics is full of models that look abstract until someone shows you how they map onto real behavior. Natalie's dual focus in economics and engineering at Duke means she approaches these models both intuitively and mathematically, breaking down each graph until the logic behind it is clear.

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.
With an applied math degree and PhD-level engineering work, Professor Florence tackles microeconomics from a deeply quantitative angle — the kind that makes optimization problems, constrained utility maximization, and cost function analysis feel like natural extensions of calculus rather than foreign territory. She teaches the mathematical machinery behind economic models so students understand what they're solving, not just how to push symbols around on an exam.
Chemical engineering coursework is essentially applied optimization — minimizing costs, maximizing output, working within constraints — which maps directly onto how microeconomics models firm behavior and resource allocation. Devin uses that quantitative instinct to unpack concepts like supply-and-demand shifts and elasticity calculations, connecting the graphs to the underlying logic rather than treating them as standalone diagrams. Rated 5.0 by students.
Consumer and producer theory, cost curves, market structures — microeconomics is built on a surprisingly small set of tools that get applied in dozens of ways. Rishi's economics and econometrics background lets him show exactly how those tools connect, so students aren't re-learning each chapter from scratch. He holds a 5.0 client rating.
Elasticity, marginal cost curves, and consumer surplus can feel abstract until someone maps them onto decisions people actually make. Victoria explains microeconomic concepts by grounding them in real examples — why a coffee shop prices drinks the way it does, or how a subsidy shifts market outcomes — making the math and the theory reinforce each other.
Indifference curves, elasticity, market structures — microeconomics has a visual logic that most textbooks bury under jargon. Ben's economics coursework means he can walk through each graph from intuition to math, so students understand why a monopolist's marginal revenue curve sits below demand rather than just accepting it.
From elasticity calculations to game theory matrices, microeconomics demands both intuition and precision. Trevor majored in economics at Dartmouth, where micro theory was central to his coursework, and he unpacks each concept by walking through the underlying logic of consumer and firm behavior before layering on the math.
I am open to helping any student of any age with nearly any subject (math, reading, writing, biology, chemistry, economics, civics, Spanish etc). I'm also happy to help with test prep (hello SAT and ACT takers), as well as college application assistance. I'm a strong believer in a patient, non-judgmental, non-intimidating approach to tutoring, and I really try to prioritize the comfort of my students. As someone who has used tutoring myself in some of my harder classes in college, I understand that not everything comes easily to everyone, so I want all of my students to feel comfortable asking any and all questions they might have, or going over a topic as many times as needed to understand it. I'm all about friendly, humble service!
I am a graduate of the University of California - Berkeley where I received my Bachelor of Arts in Economics and Data Science. Throughout college, I have volunteered with numerous education equity organizations dedicated to helping children from challenging socioeconomic backgrounds thrive in school; taught Reading to students K-8, taught for a summer enrichment program , and worked as a group tutor for data science at university. Whether it is working with younger students build their foundations or helping older students advance in core subjects, I have a passion for education and making learning as fun and accessible as possible! Outside of tutoring, I work as an economic researcher in the public sector and volunteer at environmental oriented non-profits.
Supply and demand curves are just the starting point — Hari digs into elasticity, marginal utility, and market structures like oligopoly and monopolistic competition to show how firms actually make pricing decisions. His MBA in Finance gives him real-world context for concepts like cost curves and profit maximization that textbooks often present too abstractly. Rated 5.0 by students.
I am also a first year medical student at the Tufts University School of Medicine in Boston. I have extensive experience with premedical classes and have taken and tutored the MCAT exam. I placed in the 97th percentile of the MCAT exam and I understand what the test takers want students to know and how to bridge the gap between knowing the material and doing well on the test. I am always excited when a student finally has that "ah-ha" moment and declares that they now can see how all of these seemingly separate scientific topics are actually all related. The MCAT no longer seems scary, but turns into a means of truly learning this material and providing a strong foundation for the future.
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.
Cognitive science trained Amanda to think about how people make decisions under constraints — which is essentially what microeconomics formalizes with models of consumer choice, firm behavior, and resource allocation. She breaks down the reasoning behind concepts like utility maximization and market equilibria by connecting them to the decision-making frameworks she studied at Northwestern, making the abstract logic behind the graphs feel grounded and intuitive.
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.
Marginal cost curves, elasticity calculations, and market structure models can blur together without a clear framework for when each tool applies. Dylan's policy analysis training required him to use microeconomic models to evaluate everything from healthcare markets to environmental regulation, so he teaches these concepts through the lens of actual decision-making. Students leave sessions understanding not just how to solve the problem set but why firms and consumers behave the way the models predict.
I am currently working in a Bronx Public School as a teaching apprentice in Algebra. I have four years of experience tutoring one on one with students of all ages.
Supply and demand curves are just the starting point — Elliot digs into elasticity, market structures, and consumer theory with the rigor you'd expect from a University of Chicago economics student. He breaks down concepts like marginal utility and producer surplus using real-world pricing scenarios that make the math behind the graphs 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.
Running a SaaS company means living microeconomics daily — pricing strategies, marginal cost decisions, and reading market signals in real time. John brings that operational lens to concepts like elasticity, consumer surplus, and game theory, making abstract models feel like tools rather than textbook exercises. Rated 5.0 by 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.
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.
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