Award-Winning Microeconomics Tutors
serving Manhattan, NY

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.

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.

Supply and demand curves are just the starting point — microeconomics gets interesting when students tackle consumer theory, elasticity, and market structures like oligopoly and monopolistic competition. Katherine's economics degree from Penn and her day job in management consulting mean she can ground these models in real business decisions, making abstract graphs feel intuitive.

Marginal cost curves, consumer surplus, and game theory matrices can feel abstract until someone shows you the math driving each one. Rahi tackles microeconomics by walking through the calculus behind optimization — profit maximization, utility functions, price discrimination — so students can solve problems confidently instead of memorizing graph shapes.

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.

Marginal cost curves, consumer surplus, and Cournot competition all demand comfort with derivatives and optimization — skills Romeo has sharpened through years of advanced mathematics study. He teaches microeconomics by making the math transparent: once a student can set up and solve the constrained optimization problem, the economic intuition follows naturally.

At UCLA, Christopher studied economics with a double major that gave him both the quantitative models and the historical context behind how markets actually develop — useful when explaining why perfectly competitive markets rarely exist or how government intervention reshapes incentive structures. His time at Deutsche Bank adds a practical dimension to topics like firm pricing behavior and cost analysis, since he's seen how businesses weigh marginal decisions with real money on the line.

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.

Marginal cost curves, consumer surplus, and price discrimination can feel like a pile of disconnected graphs until someone ties them back to how actual firms make decisions. Frank connects microeconomic theory to the real market behavior he analyzed during his years as a Wall Street research executive, making concepts like market structure and deadweight loss intuitive rather than abstract.

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.

Elasticity, consumer surplus, and market structures like monopolistic competition can feel abstract until someone maps them to decisions you actually make. Sheena, who is pursuing an accelerated Master's in Economics, teaches microeconomics by anchoring each concept in concrete scenarios — why airlines price-discriminate, how a tax shifts deadweight loss, what drives firm entry in the long run. She makes the graphs tell a story rather than just sit on the page.

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.

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."

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.

Consumer theory, producer theory, game theory — microeconomics is built on optimization problems that require both economic intuition and mathematical precision. Dana's statistics training means she's comfortable walking through constrained optimization, marginal analysis, and equilibrium derivations at whatever level of rigor the course demands. She's heading toward a PhD in economics, so this material isn't just something she studied once; it's the foundation of her daily intellectual life.

Consumer theory, elasticity, cost curves, market structures — Microeconomics is where Jim's economics degree really shows. He walks through problems like deriving marginal cost from a production function or finding deadweight loss in a tax scenario step by step, making sure the intuition clicks before moving to the math.

Elasticity, market structures, and consumer choice theory all share a common thread: they demand comfort with graphical analysis and marginal thinking. Magnus's economics training at UVA drilled these tools extensively, and he unpacks each model step by step so students see the intuition behind the curves, not just their shapes.

Supply and demand curves are just the starting point — microeconomics gets interesting when students dig into elasticity, market structures, and game theory. Eric's finance and statistics training at NYU means he can walk through the math behind consumer and producer surplus without skipping the intuition. Rated 5.0 by students.

Carmen's literature degree might seem far from microeconomics, but close reading and argument analysis translate surprisingly well to a subject built on interpreting models and reasoning through trade-offs — why a price ceiling creates a shortage, or how a firm's cost structure determines its output decision. Her 35 ACT composite reflects the kind of sharp quantitative and verbal reasoning that makes economic logic accessible to students who think in narratives rather than equations.

Perfect competition, monopoly, oligopoly, monopolistic competition — microeconomics is really about understanding how market structure changes firm behavior. Kunal unpacks each model by anchoring it to profit-maximization rules and cost curves, then shows students how to spot the differences on a graph in seconds. His quantitative background in actuarial science keeps the math side of consumer and producer theory clean and organized.

Marginal cost curves, elasticity calculations, and market structure comparisons are the concepts that trip up most microeconomics students. Tallat breaks these down by connecting each graph to a real pricing decision — the kind he studied extensively in his business and marketing master's program. His 5.0 rating speaks to how well that approach lands.

Supply and demand curves are straightforward enough, but microeconomics gets tricky when students hit elasticity calculations, game theory matrices, or the nuances of market structures like monopolistic competition. Jude's analytical mindset and comfort with both mathematical reasoning and written explanation make the transition from graphing to problem-solving to essay-style analysis feel seamless.

Economics was one of Danlan's two undergraduate majors, so concepts like elasticity, market structures, and consumer choice theory are territory she knows deeply — not just from textbooks but from applying them in international affairs coursework. She breaks down graphs like supply-and-demand shifts and cost curves until the logic behind them clicks. Rated 5.0 by students.

I am not someone who is satisfied when a student memorizes steps to solve a problem. I always want the student to understand what he/she is doing and why they are doing. This insight will make them a stronger, faster and better student, particularly in the field of mathematics. This brings the student long term results that could extend far beyond the work done in the tutoring sessions. Mathematics is my love and economics is my passion and because of this I bring incredible enthusiasm for the subject to my work. I bring the beauty of mathematics into my explanations, through theoretical and visual interpretations. In my spare time I like to paint and run.

Supply and demand curves are simple enough on the surface, but microeconomics gets tricky fast once elasticity, market structures, and game theory enter the picture. Dennis earned his degree in economics and breaks these models down by walking through the intuition behind each graph before touching the math, so the formulas actually make sense.

Supply and demand curves are intuitive enough, but microeconomics gets tricky when students hit elasticity calculations, game theory matrices, or the nuances between short-run and long-run cost curves. Robert breaks these models down using real-world examples from business and journalism, making abstract graphs feel like tools for understanding actual market behavior rather than just problem-set obstacles.

The jump from understanding basic supply and demand to analyzing consumer surplus, price discrimination, and game theory is where most microeconomics students get stuck. Benjamin's economics degree gave him deep fluency with these models, and his biopsychology background adds an unusual lens — he connects rational-agent assumptions to what behavioral research actually says about how people choose.

Ryan pairs his computer science training at UVA with hands-on tutoring across economics and high school math, which means he's comfortable both with the quantitative side of micro — setting up and solving optimization problems — and with explaining the intuition behind concepts like elasticity or how firms behave in different market structures. His approach leans on breaking down graphs and models into logical steps, much like debugging code: identify what each variable does, trace the cause and effect, and build understanding from there. Holds a 5.0 rating.

Political science training is built on analyzing how governments intervene in markets — subsidies, tariffs, price controls — which means Daniel already thinks in the cause-and-effect logic that microeconomics demands. He unpacks how policy choices create winners and losers using supply-and-demand frameworks, making concepts like consumer surplus and government failure feel concrete rather than theoretical. His 1540 SAT reflects the quantitative chops needed for the graphing and calculation side of micro.

A PhD in economics means Frederic has spent years inside the formal models that introductory and intermediate micro students are encountering for the first time — from deriving demand curves via utility maximization to analyzing strategic behavior through game theory. He unpacks the econometric and mathematical scaffolding behind these models, making the jump from intuitive supply-and-demand stories to rigorous optimization problems feel manageable. Rated 4.8 by students.

Consumer choice theory, production functions, game theory — micro is where economics gets personal and precise. Tina's Applied Math background at Harvard means she can unpack the calculus behind utility maximization while still making the underlying logic intuitive, so students aren't just solving equations but understanding what firms and consumers are actually doing.

Chemistry is full of equilibrium problems — balancing reaction rates, optimizing yields under constraints — and Ankit applies that same quantitative instinct to microeconomic models where supply meets demand or firms minimize costs along a production function. His Master's in Chemistry built the kind of comfort with graphs, derivatives, and optimization that translates directly to working through elasticity calculations or finding where marginal cost intersects marginal revenue.

Supply and demand curves are just the beginning — Andrew digs into the trickier concepts like elasticity, marginal utility, and market structures where students typically lose their footing. His Amherst College education gave him a strong analytical toolkit, and he uses real-world pricing scenarios and everyday consumer decisions to make abstract micro theory click.

Consumer choice theory, production functions, and market structures like monopolistic competition can feel abstract until someone ties them to actual decision-making. Erik's economics degree at BYU gave him deep exposure to micro theory, and his econometrics background means he can show students how these models get tested with real data — not just drawn on a whiteboard.

Consumer choice theory, cost curves, and market structures each have their own internal logic — but they all come back to optimization under constraints. Kristen's Duke economics training emphasized exactly this kind of mathematical reasoning, and her finance background gives her a practical lens for explaining how firms and consumers actually make decisions. She holds a 5.0 client rating.

Supply and demand curves are intuitive enough, but microeconomics gets tricky when students hit elasticity calculations, game theory matrices, and the algebra behind cost curves. Shlomo's strong math background means he can walk through the quantitative side of micro without hand-waving past the details. Rated 4.7 by students, he ties abstract models like consumer surplus and deadweight loss back to real market scenarios.

Dexter holds a bachelor's degree in economics and a PhD in law — a combination that sharpens how he teaches microeconomic concepts like externalities, property rights, and the Coase theorem, where legal frameworks and economic efficiency collide. He unpacks how rational agents actually behave when contracts, regulations, and transaction costs enter the picture, giving students a richer read on market failures than graphs alone provide. Rated 4.7 by students.

Jay's MBA in Finance means he's worked through the decision-making frameworks that microeconomics formalizes — how firms weigh marginal costs against marginal revenue, why sunk costs shouldn't drive pricing strategy, and what makes certain market structures more efficient than others. His history background also sharpens his teaching of concepts like trade policy and price controls, where understanding the context behind a model matters as much as drawing the graph.

Consumer optimization, cost curves, and game theory matrices can feel abstract until someone connects them to decisions people actually make. Andrew pairs his economics degree with fintech experience to unpack micro concepts like marginal analysis and price discrimination using scenarios students can visualize — pricing strategies, firm entry decisions, and incentive structures they encounter every day.

Marginal cost curves, elasticity calculations, and game theory scenarios are the kinds of problems Alex digs into with precision, drawing on his economics degree and legal training in structured argumentation. He breaks down producer and consumer theory by connecting abstract graphs to real market behavior — like how pricing works in competitive vs. monopolistic industries.