Award-Winning Microeconomics Tutors
serving Scranton, PA

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.

Indifference curves, marginal utility, and producer surplus can feel like a pile of disconnected graphs until someone shows you the thread running through them. Patrick's economics degree gave him deep fluency with microeconomic reasoning, and he walks students through each model step by step — from setting up the optimization problem to interpreting what the answer actually means in a market context.

I'm a graduate of Robert Morris University where I earned my BSBA in Economics and Finance. After graduating from RMU I attended Johns Hopkins University where I earned my MA in Applied Economics. My interests lie in the fields of banking, energy, healthcare, and public policy.

Howdy! My name's Joey, I love all things music and tech as well as hitting the gym. I hold degrees in mechanical and aerosapce engineering as well as scientific computing from the University of Glasgow and University of Pennsylvania. I've been an instructor and TA at both institutions and I greatly enjoy sharing knowledge!

Running his own financial planning firm for nearly a decade meant Daniel watched microeconomic principles play out in real time — how clients responded to price changes, how small businesses navigated cost structures, and why incentive misalignment could sink a deal. His Master's in Public Policy, focused on energy markets, adds another layer: he teaches concepts like externalities, market failures, and price elasticity through the lens of industries where those forces have measurable, high-stakes consequences.

The jump from understanding a basic supply-and-demand graph to analyzing consumer surplus, deadweight loss, and firm behavior in different market structures trips up a lot of students. Shua studied these models extensively during his economics degree and breaks them down by walking through the intuition behind each curve before touching any math. That approach turns intimidating problem sets into logical step-by-step exercises.

Supply and demand curves, elasticity, and consumer surplus can feel like abstract puzzles until a student sees how they explain everyday pricing decisions. Walter approaches microeconomics by connecting each model to concrete scenarios — why concert tickets get scalped, how minimum wage affects local hiring — drawing on his social studies teaching instincts to make the graphs meaningful.

As an applied economics major at Tufts, Lauren digs into microeconomic models — supply and demand curves, elasticity, market structures, game theory — with the analytical rigor her coursework demands. She breaks down graphs and mathematical relationships so students understand the intuition behind concepts like consumer surplus and deadweight loss, not just how to label a diagram.

I'm a college student at Saint Vincent College in Latrobe, Pennsylvania. I am in my junior year of a computer science degree. Outside of classes, I work as a college tour guide, IT technician, and camp counselor. I love working with young people to plan for and achieve success, especially as it pertains to test and college prep. I have been working with young people from an early age, at summer camps, church groups, and as a part of my college's admissions department. I am ready to adapt to every student's unique learning styles and habits, and I hope to see my work inspire a boost in performance and confidence for many.

A math degree means Alex can handle the calculus-heavy side of microeconomics — constrained optimization, deriving demand functions, working through Lagrangians for utility maximization — but his economics and macroeconomics teaching keeps him grounded in the intuition behind those tools. He unpacks why a firm's cost structure leads to specific pricing behavior, connecting the algebra to the economic story so students aren't just solving for x without knowing what x means.

I am a West Chester East High School class of 2015 alumni. I currently attend Boston College, majoring in Economics and Mathematics. I am very excited for the opportunity to tutor and help students with their academics. I have a history of tutoring in my high school and look forward to furthering my tutoring career by helping as many students as I can.

I am a current undergraduate student at Temple University majoring in Mathematical Economics and minoring in Finance. I have over a year of professional tutoring experience, and I am certified to tutor a wide range of subjects in mathematics, economics, and test prep.

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.

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.

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.

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.

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.

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.

Supply and demand curves are just the starting point — Zeeshan digs into the mechanics behind consumer choice theory, price discrimination, and market structures like oligopoly and monopolistic competition. His PhD research at Vanderbilt keeps him immersed in microeconomic modeling daily, so he can unpack concepts like elasticity or game theory with real-world precision.

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.

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.

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.

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 simple enough on the surface, but microeconomics gets tricky fast once students hit elasticity calculations, game theory matrices, and market failure models. Laura studied economics at the undergraduate level and brings real fluency to topics like consumer surplus, price discrimination, and production cost analysis. She connects the math behind each graph to the economic intuition it represents, which makes problem sets far less mechanical.